bluuebunny/crossref_metadata_2025_split huggingface dataset:
A chromosomal-level reference genome of the widely utilizedCoccidioides posadasiilaboratory strain “Silveira”
Authors: de Melo Teixeira Marcus , Stajich Jason E. , Sahl Jason W. , Thompson George R. , Blackmon Austin V. , Mead Heather L. , Keim Paul , Barker Bridget M. 
Published: May 2021

ABSTRACTCoccidioidomycosis is a common fungal disease that is endemic to arid and semi-arid regions of both American continents.Coccidioides immitisandC. posadasiiare the etiological agents of the disease, also known as Valley Fever. For several decades, theC. posadasiistrain Silveira has been used widely in vaccine studies, is the source strain for production of diagnostic antigens, and is a widely used experimental strain for functional studies. In 2009, the genome was sequenced using Sanger sequencing technology, and a draft assembly and annotation was made available. In the current study, the genome of the Silveira strain was sequenced using Single Molecule Real Time Sequencing (SMRT) PacBio technology, assembled into chromosomal-level contigs, genotyped, and the genome was reannotated using sophisticated and curatedin silicotools. This high-quality genome sequencing effort has improved our understanding of chromosomal structure, gene set annotation, and lays the groundwork for identification of structural variants (e.g. transversions, translocations, and copy number variants), assessment of gene gain and loss, and comparison of transposable elements in future phylogenetic and population genomics studies.
Bidirectional genome-wide CRISPR screens reveal host factors regulating SARS-CoV-2, MERS-CoV and seasonal coronaviruses
Authors: Rebendenne Antoine , Roy Priyanka , Bonaventure Boris , Chaves Valadão Ana Luiza , Desmarets Lowiese , Rouillé Yves , Tauziet Marine , Arnaud-Arnould Mary , Giovannini Donatella , Lee Yenarae , DeWeirdt Peter , Hegde Mudra , Garcia de Gracia Francisco , McKellar Joe , Wencker Mélanie , Dubuisson Jean , Belouzard Sandrine , Moncorgé Olivier , Doench John G. , Goujon Caroline 
Published: May 2021

AbstractSeveral genome-wide CRISPR knockout screens have been conducted to identify host factors regulating SARS-CoV-2 replication, but the models used have often relied on overexpression of ACE2 receptor. Additionally, such screens have yet to identify the protease TMPRSS2, known to be important for viral entry at the plasma membrane. Here, we conducted a meta-analysis of these screens and showed a high level of cell-type specificity of the identified hits, arguing for the necessity of additional models to uncover the full landscape of SARS-CoV-2 host factors. We performed genome-wide knockout and activation CRISPR screens in Calu-3 lung epithelial cells, as well as knockout screens in Caco-2 intestinal cells. In addition to identifying ACE2 and TMPRSS2 as top hits, our study reveals a series of so far unidentified and critical host-dependency factors, including the Adaptins AP1G1 and AP1B1 and the flippase ATP8B1. Moreover, new anti-SARS-CoV-2 proteins with potent activity, including several membrane-associated Mucins, IL6R, and CD44 were identified. We further observed that these genes mostly acted at the critical step of viral entry, with the notable exception of ATP8B1, the knockout of which prevented late stages of viral replication. Exploring the pro- and anti-viral breadth of these genes using highly pathogenic MERS-CoV, seasonal HCoV-NL63 and -229E and influenza A orthomyxovirus, we reveal that some genes such as AP1G1 and ATP8B1 are general coronavirus cofactors. In contrast, Mucins recapitulated their known role as a general antiviral defense mechanism. These results demonstrate the value of considering multiple cell models and perturbational modalities for understanding SARS-CoV-2 replication and provide a list of potential new targets for therapeutic interventions.
Millisecond timescale reactions observed via X-ray spectroscopy in a 3D microfabricated fused silica mixer
Authors: Huyke Diego A. , Ramachandran Ashwin , Ramirez-Neri Oscar , Guerrero-Cruz Jose A. , Gee Leland B. , Braun Augustin , Sokaras Dimosthenis , Garcia-Estrada Brenda , Solomon Edward I. , Hedman Britt , Delgado-Jaime Mario U. , DePonte Daniel P. , Kroll Thomas , Santiago Juan G. 
Published: May 2021

Determination of electronic structures during chemical reactions remains challenging in studies which involve reactions in the millisecond timescale, toxic chemicals, and/or anaerobic conditions. In this study, a three-dimensionally (3D) microfabricated microfluidic mixer platform that is compatible with time-resolved X-ray absorption and emission spectroscopy (XAS and XES, respectively) is presented. This platform, to initiate reactions and study their progression, mixes a high flow rate (0.50–1.5 ml min−1) sheath stream with a low-flow-rate (5–90 µl min−1) sample stream within a monolithic fused silica chip. The chip geometry enables hydrodynamic focusing of the sample stream in 3D and sample widths as small as 5 µm. The chip is also connected to a polyimide capillary downstream to enable sample stream deceleration, expansion, and X-ray detection. In this capillary, sample widths of 50 µm are demonstrated. Further, convection–diffusion-reaction models of the mixer are presented. The models are experimentally validated using confocal epifluorescence microscopy and XAS/XES measurements of a ferricyanide and ascorbic acid reaction. The models additionally enable prediction of the residence time and residence time uncertainty of reactive species as well as mixing times. Residence times (from initiation of mixing to the point of X-ray detection) during sample stream expansion as small as 2.1 ± 0.3 ms are also demonstrated. Importantly, an exploration of the mixer operational space reveals a theoretical minimum mixing time of 0.91 ms. The proposed platform is applicable to the determination of the electronic structure of conventionally inaccessible reaction intermediates.
Pesticide residues in foods and water in Qatar and their impact on food exposure risk assessment
Authors: Elobeid Tahra , Ganji Vijay , Al-Saeedi Sara , Mohamed Alaa Abdelmonem , Dahir Hana Mohamed , Hassan Hassan , Karam Layal , Attieh Grace 
Published: May 2021

PurposeThe purposes of this study were to analyze fruits, vegetables, water and soil for organochlorine pesticide (OCP) residues and to assess the food exposure of these pesticides in Qatar.Design/methodology/approachPesticides were quantified in dates, leafy vegetables, fruiting vegetables, water and soil samples using a gas chromatography-electron capture detector and gas chromatography-mass spectrometry. These pesticides were α-benzene hexachloride (BHC), ß-BHC, heptachlor, aldrin, g-chlordane, endosulfan I, α-chlordane, dieldrin, endrin and methoxychlor. Additionally, food exposure risk assessment was performed by estimating daily intakes of OCP.FindingsMost analyzed samples contained at least one OCP residue. Endosulfan was the only pesticide that was not detected. The concentrations of OCP in samples were below the maximum residue level (MRL) except endosulfan. Among all the samples analyzed, ˜18% of those exceeded the MRL with respect to the concentrations of methoxychlor and heptachlor. Only intake of methoxychlor (0.018 mg/day) exceeded the MRL (0.01 mg/day). Dates and fruiting vegetables were likely to pose a higher risk than leafy vegetables because they contained heptachlor, endrin and methoxychlor. Leafy vegetables might pose a greater risk than dates and fruiting vegetables because of the presence of β-BHC and dieldrin.Originality/valueEight out of ten OCPs that were measured were found to be below the MRL. These pesticides should be eliminated from the food supply based on the Qatar National Implementation Plan of the Stockholm Convention in 2010. Based on the intake risk assessment, overall, the intake of OCP may not pose a major risk to human health as the concentrations of OCP were below MRL, except methoxychlor. Water and soil are the potential sources of contamination of OCP in foods that were tested in Qatar. To limit the health risks associated with OCPs, there is a need for close monitoring of food and agricultural practices and the types of pesticides imported into Qatar.
Pre-service teacher perceptions of teaching health education online
Authors: Cruickshank Vaughan , Mainsbridge Casey 
Published: May 2021

PurposeThe forced shift to online teaching delivery during COVID-19 suppression measures in 2020 was a complex challenge for Australian teachers. Teachers were given very little time to prepare online content and very little professional development to teach online. Their experiences prompted discussion about the abilities of pre-service teachers (PST) to adapt content to online delivery if another pandemic occurred while they were teaching in the future.Design/methodology/approachPST majoring in Health and Physical Education were required to adapt a 4-weeks high school health education unit for online delivery. This study analysed data from PST personal reflections and focus groups to gain a better understanding of their perceptions about teaching health education online and their confidence to adapt tasks and activities from face-to-face delivery or develop unique online tasks.FindingsPST reported varied confidence and competence to plan for and engage in online health education teaching. PST were concerned about student learning and engagement online, and unsure how to best differentiate activities to ensure all student could meet the intended outcomes.Originality/valueLittle is known about the confidence and competence of PST to deliver fully online school health education. It is important to know more about this phenomenon to inform teacher education and teacher professional development to ensure teachers are better prepared for online delivery in the future.
How does the internal capital market influence R&D spending? New evidence
Authors: Xiang Xin 
Published: May 2021

PurposeThe purpose of this study is to examine whether and how internal capital markets mitigate financial constraints and enhance firms' willingness to engage in R&D projects.Design/methodology/approachThe study uses panel data relating to 2,095 publicly traded firms in the Chinese A-share market for the period 2007–2019. The tobit regression method is applied to explore R&D investment–cash flow sensitivity of group affiliates, while the systematic generalised method of moments and dynamic ordinary least squares models are adopted to address the endogeneity problem in the robustness test.FindingsThis study finds that firms affiliated with business groups demonstrate lower R&D investment–cash flow sensitivity than non-affiliated firms do and that R&D investments are significantly influenced by the cash reserves of other group members. In terms of financing channels, this study demonstrates that group firms use internal cash and equity financing to support other members' R&D investments, while debt financing does not influence member firms' R&D investments. In addition, this study discovers that R&D spending harms the stock and operating performance of some group members.Practical implicationsThe findings of this study enable business groups to focus on resource allocation and investment efficiency.Originality/valueAlthough prior studies indicate that internal capital markets can enhance R&D spending, few studies reveal the mechanisms through which internal capital markets benefit R&D. This study uses a unique methodology to test the ability of the internal capital market to enhance R&D spending. In addition, group firms use internal cash flow and equity financing to support partners' R&D projects.
Authentic leadership and follower’s role ethnicality: the role of leader’s ethical voice and ethical culture
Authors: Faheem Muhammad Asim , Ahmed Ishfaq , Ain Insya , Iqbal Zanaira 
Published: May 2021

Purpose
The ethical issues arising at work demand the role of both leader and employees, but how both the levels are linked in determining the ethical responses is an area that has not gained due attention in the past. Against this backdrop, this study aims to address the influence of a leader’s authenticity and ethical voice on ethical culture and the role ethicality of followers.

Design/methodology/approach
Survey design has been used, and a questionnaire is used to elicit the responses. In total, 381 filled questionnaires were used for data analysis.

Findings
The findings of this study highlight the role of authentic leadership in predicting the role ethicality of followers both directly and through the mediation of ethical culture. Furthermore, a leader’s ethical voice strengthens the authentic leadership and outcome relationships (with ethical culture and followers’ role ethicality). The moderated-mediation mechanism has proved as the leaders’ voice foster the indirect mechanism.

Originality/value
There is a dearth of literature that has focused on leadership traits (authenticity) and behavior (ethical voice) in predicting the followers’ outcomes (perceptions – ethical culture and behaviors – role ethicality). The moderated-mediation mechanism has been unattended in the past.
How should a team be rewarded to improve quality performance of NPD?
Authors: Bello-Pintado Alejandro , Marimon Frederic , Merino Diaz de Cerio Javier 
Published: May 2021

PurposeThis paper aims to analyze the impact of team rewards (TR) on quality performance of new product development (NPD). In particular, the authors analyze whether the use of TR affects the performance of NPD team projects in not only accomplishing their work as a team and the outcomes of their performance but also considering the enhancement of the involvement of both internal functions and external actors (suppliers and customers) in the early stages of NPD.Design/methodology/approachThe association of TRs on quality performances of new products is theoretically approached. Seven research hypotheses are proposed to be tested with an international database from the high performance manufacturing project. Empirical strategy includes structural equation modeling.FindingsThe authors observed that TR does not produce a direct effect on quality performance of NPD, but does so mediated through the involvement of SC members in the early stages of NPD. This paper highlights that, without involvement of external and internal supply chain actors, it is not possible to obtain desired performance of new products.Originality/valueThis study advances the study of TR on quality performance of NPD by considering TR as a tool for in-group work involving different and distant actors in the process of NPD. The analysis considers different dimensions of quality performance of NPD, distinguishing between time to market, technical issues and cost of manufacturing, which have usually been considered in an aggregated way. Empirical evidence using an ample database including manufacturing companies from fourteen countries
Rationality of fourth party in legitimacy theory: Shariah governance of Islamic financial institutions
Authors: Alam Md. Kausar 
Published: May 2021

Purpose
The purpose of this paper is to focus on conceptualizing the origin of legitimacy, the legitimation process and its trustworthiness toward the people, regulators, society and stakeholders. In achieving the purpose of the study, an inclusive research gap concerning the roles of the Shariah Supervisory Board (SSB) as a Shariah regulatory authority or an internal mechanism of Shariah Governance Framework (SGF) in the development and formation of Islamic financial institutions (IFIs) would also be addressed.

Design/methodology/approach
The paper implements an analytical approach to investigate the legitimation process of SSB, and its presence, significance, as well as credibility to the stakeholders.

Findings
This study proposes an additional authority of legitimacy, namely, SSB/Shariah regulatory authority, along with regulators, professionals and people. These could be derived from the internal mechanism of Shariah Governance (SG) practices of IFIs. The study also proposes another type of legitimacy (ethical/Shariah legitimacy) that derives from the organizational SG practices through its internal mechanisms. The formation of SSB is mandatory and more significant for the isomorphic identification of IFIs, SG system, legitimacy and broader acceptance to stakeholders.

Research limitations/implications
The rational argument shows that SSB legitimates the overall functions of IFIs, SG practices, processes and structures. It is more apposite because it has substantial validity, dominance, recognition and acceptability along with three external bodies. Besides, IFIs and their SG do not have the proper value to the general people, society, regulators and other stakeholders without the legitimization of SSB. Thus, theorists and academicians may consider SSB as the fourth party of legitimacy along with three legitimacy providing authorities (regulators, professionals and people).

Originality/value
The paper focuses on illustrating and extending the border knowledge concerning the legitimacy from SG and how do SSBs legitimize IFIs and enhance their credibility to the general people, government, society and other stakeholders. The paper first clarified the internal legitimacy concerning SGF and contributed to the area of Islamic finance, legitimacy, institutional theory, legitimacy theory and internal legitimacy.
Can customer perceived service quality fluctuations predict the performance of retail service supply chain?
Authors: Li Jianfei , Li Bei , Tang Kun , Sun Mengxia 
Published: May 2021

Purpose
Based on the analysis of the dissipative structure of the retail service supply chain (RSSC), this paper divides the system into two internal and external dissipative mechanisms, including the internal performance dissipation mechanism and the perceived quality dissipation mechanism outside the system. Based on the prediction of RSSC performance, this paper aims to discuss the application of Hidden Markov Model (HMM) in this field and puts forward a set of complete process of forecasting the service supply chain (SSC) performance based on HMM model.

Design/methodology/approach
Based on the theory of dissipative structure, this paper selects the RSSC as the research object, analyzes the system characteristics of the dissipation structure of RSSC from three aspects, such as system opening type, distance from equilibrium state and nonlinear order and describes the quality fluctuation process of RSSC as a Hidden Markov process. Taking the RSSC of J Company as an example, this paper makes use of the observed state value of customer perceived service quality from 1997 to 2016, predicts the performance status of the enterprise's RSSC.

Findings
The research results show that: RSSC is a dissipative structure system, and its performance is the internal entropy flow of the system, and the customer perceived service quality is external, their interaction determines the dynamic evolution of the system dissipation structure, and the Markov property between supply chain performance and perceived service quality. There is a Markov property between supply chain performance and perceived service quality. Using the perceived service quality observation state data of the external consumers of the system can effectively predict the implicit state of RSSC performance. Based on this prediction result, the strategy adjustment and optimization of the action mechanism of internal and external entropy flow in the dissipative structure system can be carried out to promote the sustainable development of the RSSC.

Originality/value
This paper thinks that RSSC is a dissipative structure system and the SSC performance and customer perceived service quality are the internal and external entropy flow of the system, which determines the dynamic evolution of the system dissipation structure. There is a Markov property between supply chain performance and perceived service quality. The hidden state of SSC performance can be predicted effectively by using a hidden Markov model and observing state data of perceived service quality from consumers outside the system.
Extracting insights from big social data for smarter tourism destination management
Authors: Solazzo Gianluca , Maruccia Ylenia , Lorenzo Gianluca , Ndou Valentina , Del Vecchio Pasquale , Elia Gianluca 
Published: May 2021

Purpose
This paper aims to highlight how big social data (BSD) and analytics exploitation may help destination management organisations (DMOs) to understand tourist behaviours and destination experiences and images. Gathering data from two different sources, Flickr and Twitter, textual and visual contents are used to perform different analytics tasks to generate insights on tourist behaviour and the affective aspects of the destination image.

Design/methodology/approach
This work adopts a method based on a multimodal approach on BSD and analytics, considering multiple BSD sources, different analytics techniques on heterogeneous data types, to obtain complementary results on the Salento region (Italy) case study.

Findings
Results show that the generated insights allow DMOs to acquire new knowledge about discovery of unknown clusters of points of interest, identify trends and seasonal patterns of tourist demand, monitor topic and sentiment and identify attractive places. DMOs can exploit insights to address its needs in terms of decision support for the management and development of the destination, the enhancement of destination attractiveness, the shaping of new marketing and communication strategies and the planning of tourist demand within the destination.

Originality/value
The originality of this work is in the use of BSD and analytics techniques for giving DMOs specific insights on a destination in a deep and wide fashion. Collected data are used with a multimodal analytic approach to build tourist characteristics, images, attitudes and preferred destination attributes, which represent for DMOs a unique mean for problem-solving, decision-making, innovation and prediction.
Excessive use of social networking sites and financial well-being among young adults: the mediating role of online compulsive buying
Authors: She Long , Rasiah Ratneswary , Waheed Hassam , Pahlevan Sharif Saeed 
Published: May 2021

Purpose
This study aims to examine the mediating role of online compulsive buying in the association between excessive use of social networking sites (SNS) and financial well-being among Chinese young adults.

Design/methodology/approach
A sample of 539 SNS users and active online shoppers (M age = 20.32 years, SD age = 2.11) completed an online survey questionnaire measure of excessive use of SNS, online compulsive buying and financial well-being. Covariance based-structural equation modelling was used to assess the measurement model and the proposed mediation model.

Findings
Results indicated that excessive use of SNS was positively related to online compulsive buying behaviour and financial anxiety. Also, the results showed that online compulsive buying mediated the positive relationship between excessive use of SNS and financial anxiety.

Practical implications
Several implications were suggested and discussed to enhance the levels of financial well-being among youths by tackling their problematic behaviour such as excessive SNS usage and online compulsive buying.

Originality/value
The findings of this study contribute to the limited body of knowledge in the area of financial well-being and further improves our understanding of the effect of the excessive use of SNS on financial well-being and the mechanism behind it.