bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel bivariate autoregressive model for predicting and forecasting irregularly observed time series
Authors: Elorrieta Felipe , Eyheramendy Susana , Palma Wilfredo , Ojeda Cesar 
Published: April 2021

ABSTRACT
In several disciplines, it is common to find time series measured at irregular observational times. In particular, in astronomy there are a large number of surveys that gather information over irregular time gaps and in more than one passband. Some examples are Pan-STARRS, ZTF, and also the LSST. However, current commonly used time series models that estimate the time dependence in astronomical light curves consider the information of each band separately (e.g, CIAR, IAR, and CARMA models) disregarding the dependence that might exist between different passbands. In this paper, we propose a novel bivariate model for irregularly sampled time series, called the Bivariate Irregular Autoregressive (BIAR) model. The BIAR model assumes an autoregressive structure on each time series; it is stationary, and it allows to estimate the autocorrelation, the cross-correlation and the contemporary correlation between two unequally spaced time series. We implemented the BIAR model on light curves, in the g and r bands, obtained from the ZTF alerts processed by the ALeRCE broker. We show that if the light curves of the two bands are highly correlated, the model has more accurate forecast and prediction using the bivariate model than a similar method that uses only univariate information. Further, the estimated parameters of the BIAR are useful to characterize long-period variable stars and to distinguish between classes of stochastic objects, providing promising features that can be used for classification purposes.
NICER observations of the black hole candidate MAXI J0637–430 during the 2019–2020 outburst
Authors: Jana Arghajit , Jaisawal Gaurava K , Naik Sachindra , Kumari Neeraj , Chhotaray Birendra , Altamirano D , Remillard R A , Gendreau Keith C 
Published: April 2021

ABSTRACT
We present detailed timing and spectral studies of the black hole candidate MAXI J0637–430 during its 2019–2020 outburst using observations with the Neutron Star Interior Composition Explorer (NICER) and the Neil Gehrels Swift Observatory. We find that the source evolves through the soft-intermediate, high-soft, hard-intermediate, and low-hard states during the outburst. No evidence of quasi-periodic oscillations is found in the power-density spectra of the source. Weak variability with fractional rms amplitude ${\lt}5{{\ \rm per\ cent}}$ is found in the softer spectral states. In the hard-intermediate and hard states, high variability with the fractional rms amplitude of ${\gt}20{{\ \rm per\ cent}}$ is observed. The 0.7–10 keV spectra with NICER are studied with a combined disc-black-body and nthcomp model along with the interstellar absorption. The temperature of the disc is estimated to be 0.6 keV in the rising phase and decreased slowly to 0.1 keV in the declining phase. The disc component was not detectable or absent during the low-hard state. From the state-transition luminosity and the inner edge of the accretion flow, we estimate the mass of the black hole to be in the range of 5–12 M⊙, assuming the source distance of d &lt; 10 kpc.
The GALAH+ survey: Third data release
Authors: Buder Sven , Sharma Sanjib , Kos Janez , Amarsi Anish M , Nordlander Thomas , Lind Karin , Martell Sarah L , Asplund Martin , Bland-Hawthorn Joss , Casey Andrew R , De Silva Gayandhi M , D’Orazi Valentina , Freeman Ken C , Hayden Michael R , Lewis Geraint F , Lin Jane , Schlesinger Katharine J , Simpson Jeffrey D , Stello Dennis , Zucker Daniel B , Zwitter Tomaž , Beeson Kevin L , Buck Tobias , Casagrande Luca , Clark Jake T , Čotar Klemen , Da Costa Gary S , de Grijs Richard , Feuillet Diane , Horner Jonathan , Kafle Prajwal R , Khanna Shourya , Kobayashi Chiaki , Liu Fan , Montet Benjamin T , Nandakumar Govind , Nataf David M , Ness Melissa K , Spina Lorenzo , Tepper-García Thor , Ting(丁源森) Yuan-Sen , Traven Gregor , Vogrinčič Rok , Wittenmyer Robert A , Wyse Rosemary F G , Žerjal Maruša ,   GALAH Collaboration
Published: April 2021

ABSTRACT
The ensemble of chemical element abundance measurements for stars, along with precision distances and orbit properties, provides high-dimensional data to study the evolution of the Milky Way. With this third data release of the Galactic Archaeology with HERMES (GALAH) survey, we publish 678 423 spectra for 588 571 mostly nearby stars (81.2 per cent of stars are within &lt;2 kpc), observed with the HERMES spectrograph at the Anglo-Australian Telescope. This release (hereafter GALAH+ DR3) includes all observations from GALAH Phase 1 (bright, main, and faint survey, 70 per cent), K2-HERMES (17 per cent), TESS-HERMES (5 per cent), and a subset of ancillary observations (8 per cent) including the bulge and &gt;75 stellar clusters. We derive stellar parameters Teff, log g, [Fe/H], vmic, vbroad, and vrad using our modified version of the spectrum synthesis code Spectroscopy Made Easy (sme) and 1D marcs model atmospheres. We break spectroscopic degeneracies in our spectrum analysis with astrometry from Gaia DR2 and photometry from 2MASS. We report abundance ratios [X/Fe] for 30 different elements (11 of which are based on non-LTE computations) covering five nucleosynthetic pathways. We describe validations for accuracy and precision, flagging of peculiar stars/measurements and recommendations for using our results. Our catalogue comprises 65 per cent dwarfs, 34 per cent giants, and 1 per cent other/unclassified stars. Based on unflagged chemical composition and age, we find 62 per cent young low-$\alpha$, 9 per cent young high-$\alpha$, 27 per cent old high-$\alpha$, and 2 per cent stars with [Fe/H] ≤ −1. Based on kinematics, 4 per cent are halo stars. Several Value-Added-Catalogues, including stellar ages and dynamics, updated after Gaia eDR3, accompany this release and allow chrono-chemodynamic analyses, as we showcase.
COVID-19 vaccination intent among London healthcare workers
Authors: Abuown A , Ellis T , Miller J , Davidson R , Kachwala Q , Medeiros M , Mejia K , Manoraj S , Sidhu M , Whittington A M , Pattani S 
Published: April 2021

Abstract

Background
The 10-month timeline from conception to regulatory approval of the Pfizer–BioNTech vaccine against SARS-CoV-2 is unprecedented in modern medicine. However, the climate of the pandemic has also seen anti-vaccination sentiments flourish.

Aims
To determine the intent to accept COVID-19 vaccination among healthcare workers at a London Hospital Trust and examine variation in uptake between demographic groups.

Methods
We conducted a cross-sectional survey open to staff working at the trust. Staff rated on a five-point scale the likelihood of them accepting COVID-19 vaccination.

Results
We received 514 responses, representing 16% of the workforce. About 59% of staff intended to seek vaccination, 24% to reject and 17% were unsure. There was significantly reduced intended uptake in females, younger age groups, healthcare assistants, nurses, staff of black ethnic backgrounds and those who rejected influenza vaccination. Safety was the dominant concern.

Conclusions
Our study finds COVID-19 vaccinate hesitancy is prevalent among healthcare workers at a London Hospital Trust. It is particularly concerning that hesitancy was highest amongst groups most exposed to COVID-19 and most at risk of severe disease. Reasons behind disparities in uptake must be addressed to protect staff and prevent deepening inequalities within the healthcare workforce.
Surging COVID-19 in Bangladesh driven by B.1.351 variant
Authors: Brum Eric , Saha Senjuti , Sania Ayesha , Tanmoy Arif Mohammad , Hooda Yogesh , Tanni Afroza Akter , Goswami Sharmistha , Al Sium Syed Muktadir , Islam Sajib Mohammad Saiful , Malaker Roly , Islam Shuborno , Sarker Nikkon , Saha Samir K , Chowdhury Shayan , Haddou Yacob , Ferguson Elaine , Kundegorski Mikolaj , Purno Nabila , Tasneem Motahara , Arifeen Shams El , Alamgir AMS , Chowdhury Anir , Hampson Katie 
Published: April 2021

AbstractA dramatic resurgence of COVID-19 cases and deaths in Bangladesh in March 2021 coincided with the SARS-CoV-2 B.1.351 (501Y.V2) variant of concern rapidly becoming the dominant circulating variant. Concurrently, increasing numbers of reinfections have been detected and the effective Reproductive number,Rt, has doubled, despite high levels of prior infection in Dhaka city. These data support the prediction that acquired immunity from past infection provides reduced protection against B.1.351, and highlights the major public health concern posed by immune escape variants, especially in populations where vaccination coverage remains low.
Laser facilitated epicutaneous peptide immunization using dry patch technology
Authors: Scheiblhofer Sandra , Drothler Stephan , Braun Werner , Braun Reinhard , Boesch Maximilian , Weiss Richard 
Published: April 2021

AbstractThe skin has been intensely investigated as a target tissue for immunization because it is populated by multiple types of antigen presenting cells. Directly addressing dendritic cells or Langerhans cellsin vivorepresents an attractive strategy for inducing T cell responses in cancer immunotherapy. We and others have studied fractional laser ablation as a novel method combining efficient delivery of macromolecules to the skin with an inherent adjuvant effect of laser illumination. In this proof of concept study, we demonstrate the feasibility of peptide delivery to the skin using the P.L.E.A.S.E. professional Erb:YAG fractional infrared laser together with EPIMMUN patches. In an ovalbumin mouse model we demonstrate that a dry patch formulation of SIINFEKL peptide in combination with CpG-ODN1826, but not imiquimod or polyI:C, induces potent cytotoxic T cell responses, which can be further boosted by co-delivery of the pan-helper T cell epitope PADRE.
Management accounting change as an amplifier of a leadership dispute: an ethnography of convergent and divergent leader–follower relations
Authors: Bassani Gaia , Pfister Jan A. , Cattaneo Cristiana 
Published: April 2021

PurposeThe purpose of this paper is to explore the role of leadership in management accounting change processes and outcomes.Design/methodology/approachThe paper draws on an ethnographic study in a Southern European company and mobilizes leader–follower relations as a method theory to analyse the observations.FindingsThe findings show how a leadership dispute between two top managers can be amplified during the management accounting change process and percolate throughout an organization. The authors identify five contested areas where the role of accounting amplifies the leadership dispute by unfolding its reach to other organizational actors. The leadership dispute can shape and reinforce a fragmented organization, with some organizational members creating convergent leader–follower relations while others divert and fragment with an increased turnover. This amplification can lead to unexpected outcomes of the change process in terms of how and by whom accounting is performed.Research limitations/implicationsThe authors propose the study of leadership and followership as an important but, to date, largely neglected theme in management accounting research.Originality/valueIn contrast to the prior management accounting literature, the paper departs from a leadership-centric and role-based approach and employs a co-constructionist and relational approach to leadership and followership to analyse management accounting change. In addition, it applies and extends Alvesson's (2019a) theory on “divergent relationalities” between the presumed leaders and followers. In doing so, the paper also adds to the leadership field by theorizing and integrating the situation of a leadership dispute in this novel theoretical framework.
Public universities and impacts of COVID-19 in Australia: risk disclosures and organisational change
Authors: Carnegie Garry D. , Guthrie James , Martin-Sardesai Ann 
Published: April 2021

PurposeThe purpose of this study is to examine the COVID-19 pandemic risk disclosures in a sample of annual reports of Australian public universities. These universities rely heavily on fee-paying onshore overseas students. Analysing these risk disclosures is essential to understanding the COVID-19 crisis and the implications for organisational change.Design/methodology/approachDocument analysis and content analysis of the 2019 annual reports of all Victorian public universities were undertaken to identify the disclosure of COVID-19 risk impacts. Applying Laughlin's Habermasian insights of change, the study explores the pathways of change adopted by universities to overcome the risk impacts. However, financial risk disclosures about income from this source were virtually non-existent.FindingsAny risk associated with COVID-19 disclosed was minimal in a qualitative, neutral and constant format. The quality of disclosures was low. Media statements, however, pointed to significant income loss and suggested a strategy of substantial cost-cutting, including employee redundancies, which we identified as morphostatic changes of universities to overcome the risk impacts.Research limitations/implicationsThe study reveals the risk associated with sector's aggressive growth strategy, jeopardising their financial viability and quality of teaching and research.Practical implicationsThe findings provide insights to the Australian higher education sector. The low quality of external risk disclosures of these universities suggests an urgent need for transformation.Originality/valueAustralian public universities play a crucial role in society. This role will be diminished by a failure to disclose and manage significant risks adequately.
Predicting delays in prefabricated projects: SD-BP neural network to define effects of risk disruption
Authors: Zhao Ying , Chen Wei , Arashpour Mehrdad , Yang Zhuzhang , Shao Chengxin , Li Chao 
Published: April 2021

PurposePrefabricated construction is often hindered by scheduling delays. This paper aims to propose a schedule delay prediction model system, which can provide the key information for controlling the delay effects of risk-related factors on scheduling in prefabricated construction.Design/methodology/approachThis paper combines SD (System Dynamics) and BP (Back Propagation) neural network to predict risk related delays. The SD-based prediction model focuses on dynamically presenting the interrelated impacts of risk events and activities along with workflow. While BP neural network model is proposed to evaluate the delay effect for a single risk event disrupting a single job, which is the necessary input parameter of SD-based model.FindingsThe established model system is validated through a structural test, an extreme condition test, a sensitivity test, and an error test, and shows an excellent performance on aspect of reliability and accuracy. Furthermore, 5 scenarios of case application during 3 different projects located in separate cities prove the prediction model system can be applied in a wide range.Originality/valueThis paper contributes to academic research on combination of SD and BP neural network at the operational level prediction, and a practical prediction tool supporting managers to take decision-making in a timely manner against delays.
Exploring compassionate managerial leadership style in reducing employee stress level during COVID-19 crisis: the case of Nigeria
Authors: Oruh Emeka Smart , Mordi Chima , Dibia Chianu Harmony , Ajonbadi Hakeem Adeniyi 
Published: April 2021

PurposeThis study explores how compassionate managerial leadership style can help to mitigate workplace stressors and alleviate stress experiences among employees — particularly in an extreme situation, such as the current global COVID-19 pandemic. The study's context is Nigeria's banking, manufacturing and healthcare sectors, which have a history of high employee stress levels.Design/methodology/approachUsing a qualitative, interpretive methodology, the study adopts the thematic analysis process (TAP) to draw and analyse data from semi-structured telephone interviews with 10 banking, 11 manufacturing and 9 frontline healthcare workers in Nigeria.FindingsIt was found that a compassionate managerial leadership can drive a considerate response to employees' “fear of job (in)security”, “healthcare risk” and concerns about “work overload, underpayment and delayed payment”, which respondents considered to be some of the key causes of increased stress among employees during the current COVID-19 pandemic.Research limitations/implicationsThe study is limited to exploring the relationship between compassionate managerial leadership and an organisation's ability to manage employee stress in the COVID-19 situation, using 30 samples from organisations operating in three Nigerian cities and sectors. Future studies may involve more Nigerian cities, sectors and samples. It may also possibly include quantitative combination to allow generalisation of findings.Practical implicationsIn order to survive in extreme situations, such as the COVID-19 pandemic, organisations are forced to take drastic and often managerialist-driven work measures which can trigger high stress levels, low productivity and absenteeism among employees. Hence, organisations would benefit from implementing compassion-driven policies that are more inclusive and responsive to the workplace stressors facing employees.Originality/valueEmployee stress has been widely explored in many areas, including definitions, stressors, strains, possible interventions and coping strategies. There remains, however, a dearth of scholarship on how management-leadership compassion can help to reduce employee stress levels in extreme conditions, such as the COVID-19 pandemic — particularly in emerging economies.
The mediating effect of consumer empowerment in omni-channel retailing
Authors: Ürgüplü Özlem , Yumurtacı Hüseyinoğlu Işık Özge 
Published: April 2021

PurposeThe purpose of this study is to explore the impact of omni-channel capability (OCC) and consumer empowerment (CE) on customer satisfaction (CS).Design/methodology/approachA paper-based questionnaire was employed to analyse the role of CE in omni-channel retailing (OCR) by using structural equation modelling. Based on the Stimuli-Organism-Response (S-O-R) framework, this research aims to explore how OCC (S) impacts CE (O) and then leads to CS (R) in consumers who had previously used both the online and physical channels of a retailer.FindingsThe findings supported the impact of OCC on CE, and in turn, the impact of CE on CS. The results reveal a partial mediation by CE in the effect of OCC on CS. Additionally, channel service transparency (CST) moderates the relationship between CE and CS.Practical implicationsThe findings reveal partial mediator role of CE and the moderator role of CST in OCR. The study draws attention to the increasing role of CE and CST in OCR. To enhance CS, retailers should focus on OCC, CE and CST.Originality/valueA new model was validated, hypothesized from S-O-R framework. This extended the knowledge on CE in OCR.
A proposed reading event analysis model (REAM) for determining likely reading format preferences
Authors: Salaz A.M. , Mizrachi Diane 
Published: April 2021

PurposeThis conceptual paper relates disparate evidence on the factors influencing reading format choice and preference, whether print or digital, in order to inform educational practice and scholarship.Design/methodology/approachThe authors propose a reading event analysis model (REAM) to help guide practitioners and scholars through a consideration of relevant factors, as evidenced by empirical research, to predicting whether print or digital formats will best support the reading and/or learning objectives of a reader in a given reading event in the current technological era.FindingsThe evidence synthesized and communicated by the REAM model reflects complex interactions between reader characteristics, task characteristics and text characteristics that influence the effects and outcomes of reading in print or digital format.Research limitations/implicationsThis model serves to guide scholars in the design of future empirical studies that account for critical performance variables related to reading comprehension and user preference.Practical implicationsIn examining the effects of reading format on learning and the relationship of learning to overall reader format preferences, this model will help educators, educational administrators, industry practitioners, technologists and interface developers transfer current findings to practice, make decisions and determine developmental priorities to meet the needs of readers and learners across a variety of contexts and support the pursuit of equity in education.Originality/valueThis model is necessary and contributes important original synthesis and to an area of scholarship that in recent years has yielded results that at times appear contradictory. The model provides possible resolutions to these apparent contradictions in a construct that lends translational value for practice.
Influence of knowledge sharing, innovation passion and absorptive capacity on innovation behaviour in China
Authors: Ye Pinghao , Liu Liqiong , Tan Joseph 
Published: April 2021

PurposeThis paper aims to address the question of what can significantly impact employees' IB and how employees' IB may be effectively stimulated by investigating key factors such as employees' knowledge sharing, innovation passion, absorptive capacity and risk-taking behaviour on workplace innovation. The moderating role of risk-taking behaviour on the link between absorptive capacity and innovation behaviour is also investigated.Design/methodology/approachBased on the principles of social exchange theory, the study design explores the complex relationship among knowledge sharing, innovation passion, absorptive capacity and risk-taking vis-à-vis employees' innovation behaviour within a unified analysis framework. Methodologically, employees in the information technology industry in China were surveyed via a questionnaire instrument, with a total of 318 valid questionnaires being collected online. Following a reliability and validity test of the questionnaire, the Smart PLS was used to verify the research model.FindingsStatistically significant results reported were as follows: (1) employees' innovation behaviour is positively impacted by knowledge sharing, innovation passion and absorptive capacity; (2) employees' innovation behaviour is negatively impacted by risk-taking behaviour; (3) knowledge sharing is positively impacted by innovation passion; (4) absorptive capacity is positively impacted by innovation passion; and (5) risk-taking behaviour regulates the relationship between absorptive capacity and innovation behaviour.Research limitations/implicationsOwing to limited research resources, 318 front-line employees were surveyed via an online questionnaire vis-à-vis the sampling method only, specifically taking knowledge sharing, innovation passion, absorptive capacity and risk-taking behaviour as antecedent variables with implications on how employees' innovation behaviour may be stimulated.Originality/valueThe mechanism of augmenting employees' innovation behaviour is chiefly explained from the perspective of innovation passion and risk-taking behaviour, which are conducive towards promoting employees' willingness to improve knowledge sharing and innovation behaviour. The social exchange theory is used as a basis to form an integrated model for the research, contributing to a cumulative theoretical perspective for future work on the impact of innovation passion and risk-taking behaviour on innovation.