bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prospective SARS-CoV-2 cohort study among general practitioners during the second COVID-19 wave in Flanders, Belgium
Authors: Mariën Joachim , Ceulemans Ann , Bakokimi Diana , Lammens Christine , Ieven Margareta , Heytens Stefan , Sutter An De , Verbakel Jan Y , Van den Bruel Ann , Goossens Herman , Van Damme Pierre , Ariën Kevin K. , Coenen Samuel 
Published: March 2021

AbstractPrimary health care providers (PHCPs), especially general practitioners (GPs) are essential to organise health care efficiently. During the COVID-19 pandemic, they also keep the pressure off hospitals. PHCPs are assumed to be at high risk of a COVID-19 infection, as they are exposed to a large portion of the population (usually with less personal protective equipment than other frontline health care workers(HCWs)). Nevertheless, previous seroprevalence studies focussed on the general population or HCWs in hospital settings, rather than PHCPs. The aim of this study was to determine the seroprevalence of PHCPs after the first and during the second SARS-CoV-2 wave in Flanders (Belgium) and compare it to the seroprevalence in the general population (blood donors). A prospective cohort of PHCPs, mainly GPs (n=698) was screened for IgG antibodies against SARS-CoV-2 at five different time-points (June-December 2020). The dried blood spots they produced were analysed using a Luminex multiplex immunoassay. The seroprevalence of PHCPs remained stable between June and September 2020 (4.6-5.0%), but increased significantly from October to December (8.1-13.4%) 2020. The seroprevalence of PHCPs was not significantly higher than the seroprevalence of the blood donors at the end of December 2020. In conclusion, the sharp increase in seroprevalence during the second COVID-19 wave in Flanders shows that PHCPs were more at risk during the second wave compared to the first one. However, the increase was in line with the general population suggesting that PHCPs mainly got infected in their private settings.
Molecular roadmap of the healthy stress response in the mouse hippocampus
Authors: von Ziegler Lukas M. , Floriou-Servou Amalia , Waag Rebecca , Das Gupta Rebecca R. , Sturman Oliver , Gapp Katharina , Maat Christina A. , Kockmann Tobias , Lin Han-Yu , Duss Sian N. , Privitera Mattia , Hinte Laura , von Meyenn Ferdinand , Zeilhofer Hanns U. , Germain Pierre-Luc , Bohacek Johannes 
Published: March 2021

SummaryThe acute stress response mobilizes energy to meet situational demands and re-establish homeostasis. However, little is known about the nature and dynamics of the underlying molecular cascades. We used a brief forced swim exposure to trigger a strong stress response in mice, which transiently increases anxiety, but does not lead to lasting maladaptive behavioral changes. Using multiomic profiling we characterize the stress-induced molecular events in the hippocampus over time, across molecular scales, and down to the level of cell types and single cells. Our results unveil the complexity and specificity of the healthy stress response, with widespread changes in protein phosphorylation and gene transcription, but tightly regulated protein translation. All observed molecular events resolve efficiently within 4 hours after initiation of stress. The data are accessible through an interactive web portal, creating an extensive molecular resource that will help understand how stress impacts brain function in health and disease.
A systematic review of machine learning in logistics and supply chain management: current trends and future directions
Authors: Akbari Mohammadreza , Do Thu Nguyen Anh 
Published: March 2021

PurposeThis paper presents a review of the existing state-of-the-art literature on machine learning (ML) in logistics and supply chain management (LSCM) by analyzing the current literature, contemporary concepts, data and gaps and suggesting potential topics for future research.Design/methodology/approachA systematic/structured literature review in the subject discipline and a bibliometric analysis were organized. Information regarding industry involvement, geographic location, research design and methods, data analysis techniques, university, affiliation, publishers, authors, year of publications is documented. A wide collection of eight databases from 1994 to 2019 were explored using the keywords “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract. A total of 110 articles were found, and information on a chain of variables was gathered.FindingsOver the last few decades, the application of emerging technologies has attracted significant interest all around the world. Analysis of the collected data shows that only nine literature reviews have been published in this area. Further, key findings show that 53.8 per cent of publications were closely clustered on transportation and manufacturing industries and 54.7 per cent were centred on mathematical models and simulations. Neural network is applied in 22 papers as their exclusive algorithms. Finally, the main focuses of the current literature are on prediction and optimization, where detection is contributed by only seven articles.Research limitations/implicationsThis review is limited to examining only academic sources available from Scopus, Elsevier, Web of Science, Emerald, JSTOR, SAGE, Springer, Taylor and Francis and Wiley which contain the words “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract.Originality/valueThis paper provides a systematic insight into research trends in ML in both logistics and the supply chain.
Opportunities and constraints of women entrepreneurs in Jordan: an update of the 5Ms framework
Authors: Abuhussein Tala , Koburtay Tamer 
Published: March 2021

PurposeDrawing on the “5Ms” gender cognizant framework, this study seeks to investigate how money, motherhood, management, the market and the macro/meso environment dimensions of the 5Ms may influence women's entrepreneurship in Jordan. A related aim is to offer in-depth insights and a fresh understanding of potential factors not included in the original 5Ms model.Design/methodology/approachThe study takes a qualitative-inductive approach, using semi-structured interviews with 14 women entrepreneurs from various industries in Jordan.FindingsThe paper highlights the positive (or adverse) impact of the 5Ms factors (motherhood, macro/meso environment, the market, management and money) on women entrepreneurs in Jordan and introduces new emerging factors. The paper concludes with an extended view of the 5Ms model.Practical implicationsThis study may help develop greater sensitivity and understanding about some of the adverse gender practices faced by women entrepreneurs. Policymakers in Jordan and other Arab countries may consider empowering women entrepreneurs in terms of offering more financial funds and facilities, social support, and managerial empowerment.Originality/valueThe study creates more sensitivity and awareness about the current dynamics, opportunities and impediments that affect women entrepreneurs; thus, it contributes to the extant literature by suggesting new propositions and a novel framework. This study extends Brush et al.'s (2009) 5Ms gendered framework by adding three important factors (Mental health, Maturity and Maintainability). The empirical update and contextual extension of Brush et al.'s (2009) 5Ms model highlight a theoretical contribution.
The impact of spiritual values on employees loyalty: the moderating role of Islamic work ethic
Authors: Ahmed Adeel , Arshad Mohd Anuar , Mahmood Arshad , Barkat Waseem 
Published: March 2021

Purpose
The purpose of this study is to examine the impact of spiritual values (i.e. sense of community, sense of meaning and wisdom) on employee loyalty. Spiritual values are widely accepted by scholars and practitioners as a fundamental element for employee performance. This study explored and enriched the body of knowledge on spiritual and Islamic values, as it investigated the interactive effect of Islamic work ethic (IWE). The theoretical foundation of this research is based on social exchange theory.

Design/methodology/approach
A cross-sectional design with purposive sampling was used to collect data from the airline industry. A partial least square (PLS) second-generation structural equation modeling method (Smart-PLS software) was used to test the hypothesized relationship.

Findings
The study findings revealed that giving importance to spiritual values could add value to the performance of the organization. In addition, based on study findings, organizations should give high priority to Islamic orientations at work and promote IWEs in the true sense.

Research limitations/implications
The scope of the study is one of the limitations. This study was unable to get a random sample due to the unavailability of a comprehensive and complete list of employees. In addition, from a methodological point of view, this research relied on a single source, which is subjected to bias. Future studies should replicate and test the applicability of the current framework in any other global context.

Originality/value
To the best of the author’s knowledge, no studies in past tested these relationships, which is a contribution to the literature. This research should be an avenue for further inquiries using more rigorous approaches.
Identification and analysis of circular supply chain management practices for sustainability: a fuzzy-DEMATEL approach
Authors: Saroha Manju , Garg Dixit , Luthra Sunil 
Published: March 2021

PurposeCircular supply chain management (CSCM) is proving to be a strong contributor towards sustainable development. The purpose of this study is to analyse the circular practices in CSCM implementation towards sustainability in the Indian auto sector; these practices are at the initial stage in a developing economy.Design/methodology/approachIn this research work, a framework has been developed to enrich understanding of various CSCM practices for sustainability. To develop a causal framework, a Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) methodology has been adopted.FindingsThe results produce 32 practices with cause and effect groups and their importance/priorities. Based on F-DEMATEL, these 32 practices are grouped into cause and effect groups based on R + C and R − C values.Research limitations/implicationsThe findings will help managers and decision-makers to gain a deeper understanding of the practices and their nature; the governmental and financial practices are identified as the most critical factors that need more attention. The results will help strategy makers to plan accordingly.Originality/valueThis research has identified and analysed 32 basic practices and their interrelationships to achieve sustainability in CSCM.
Information technology management and service performance management capabilities: an empirical study of the service supply chain management process
Authors: Lenuwat Pattama , Boon-itt Sakun 
Published: March 2021

PurposeThe dynamic capabilities view is invoked to hypothesize relationships among the service supply chain management (SSCM) process capabilities using the information technology management (ITM) process capability. This study argues that ITM will have an impact on the service performance management (SPM) process capability only when it works through mediators and demonstrates the impact by using the framework of SSCM process capabilities.Design/methodology/approachThis study is based on a survey using quantitative data collection to empirically test the research framework. The proposed framework and hypotheses were tested using a mail-in survey of the service industry in Thailand. The statistical analysis of data acquired from the survey was performed using structural equation modeling.FindingsThe results support the existence of a mediating role for the ITM process affecting the SPM process. This study identifies the role of ITM and emphasizes the urgent need for firms to embed other mediating factors into their approaches to achieve SPM process goals in the service supply chain context.Research limitations/implicationsThe study offers important implications to researchers as well as practitioners by highlighting the significance of mediating roles for ITM to achieve SPM process.Originality/valueThis research is among the initial attempts to argue the impact of ITM on SPM through mediators.
Governance and accountability in hybrid organizations – past, present and future
Authors: Vakkuri Jarmo , Johanson Jan-Erik , Feng Nancy Chun , Giordano Filippo 
Published: March 2021

PurposeIn addressing policy problems, it is difficult to disentangle public policies from private efforts, business institutions and civic activities. Societies may acknowledge that all these domains have a role in accomplishing social aims, but there are fundamental problems in understanding why, how and with what implications this occurs. Drawing upon the insights from the papers of this special issue, the authors aim to advance the understanding of governance and accountability in different contexts of hybridity, hybrid governance and organizations.Design/methodology/approachThe authors conceptualize common theoretical origins of hybrid organizations and the ways in which they create and enact value by reflecting on the articles of the special issue. Furthermore, the authors propose agendas for future research into hybrid organizations.FindingsHybrid organizations can be conceptualized through two types of lenses: (1) the dimensions of hybridity (ownership, institutional logics, funding and control) and (2) their approaches to value creation (mixing, compromising and legitimizing).Practical implicationsThis article provides more detailed and comprehensive understanding of hybridity. This contribution has also important practical implications for actors, such as politicians, managers, street-level bureaucrats, professionals, auditors and accountants who may be enveloped in various hybrid settings, policy contexts and multi-faceted interfaces between public, private and the civil society sector.Originality/valueHybridity lenses reveal novel connections between four types of hybrid institutional contexts: state-owned enterprises (SOEs), non-profit organizations (NPOs), social enterprises (SEs) and municipally owned corporations (MOCs). This paper provides theoretical instruments for doing so.
Sustainability measures and earnings management: evidence from Greek municipalities
Authors: Cohen Sandra , Malkogianni Ioanna 
Published: March 2021

PurposeThis study analyses the engagement of Greek municipalities in earnings management activities through the manipulation of their accrual accounts. It aims at identifying whether discretionary accruals are associated with certain financial sustainability measures calculated through financial statement numbers.Design/methodology/approachTo test the hypotheses, the annual financial data of Greek municipalities for the period 2011–2018 are used. The final sample corresponds to an unbalanced panel data sample that includes 1,565 yearly observations. Total accruals and discretionary accruals modelling are based both on the aggregate Jones model and the modified Jones model.FindingsThe findings provide evidence that Greek municipalities engage in earnings management practices through the manipulation of accruals. Moreover, there is corroborative evidence that financial sustainability indicators, such as indebtedness, liquidity and efficiency ratios, are related to the magnitude of earnings management, while earnings management behaviour during the year preceding the municipal elections is more intense.Originality/valueThe paper expands the literature in earnings management in local governments by analysing the relation of financial sustainability indicators to this behaviour.
The threat of bankruptcy and financing strategy in learning-intensive industries
Authors: Deb Palash , Sreekumar Vipin 
Published: March 2021

PurposeThe authors investigate whether firms in learning-intensive industries are more prone to bankruptcy and how this shapes a firm's financing choices.Design/methodology/approachIndustry learning estimates based on US manufacturing firms are obtained from the study of Balasubramanian and Lieberman (2010; 2011), who collected these estimates from the US Census Bureau. Merging the learning estimates with data from Compustat gives us a final sample of 6,138 publicly-traded US manufacturing ﬁrms (56,930 ﬁrm-years) between 1973 and 2000. The authors use both OLS and IV estimation approaches to test the hypotheses.FindingsThe findings confirm that firms operating in learning-intensive industries have a higher threat of bankruptcy. The authors also find that a debt-intensive capital structure exacerbates the threat of bankruptcy; therefore, firms in such industries have a significantly lower reliance on debt financing.Practical implicationsIn the current turbulent business environment, managers operating in learning-intensive industries need to be more careful while making financing choices between debt and equity, and they can explore sources of financing that go beyond the capital markets.Originality/valueNo study so far has examined how industry learning intensity, a key industry characteristic, makes firms more prone to bankruptcy, and how this threat of bankruptcy results in more conservative financing choices. By integrating the theoretical perspectives from the structure–conduct–performance (SCP), transaction cost economics (TCE) and threat rigidity paradigms, this paper contributes to the literature by adding the industry learning environment as a novel determinant of firm financing choices and the threat of bankruptcy.
The moderating role of institutional quality in shadow economy–pollution nexus in Nigeria
Authors: Dada James Temitope , Ajide Folorunsho M. 
Published: March 2021

PurposeThis study examines the moderating role institutional quality plays in shadow economy–environmental pollution nexus in Nigeria between 1984 and 2018. Further, the study also determines the threshold level of institutional quality that lessens shadow economy and abates environmental pollution.Design/methodology/approachShadow economy is measured as a percentage of gross domestic product (GDP) using the currency demand approach while environmental pollution is proxy by carbon dioxide (CO2) per capita. Autoregressive distributed lag (ARDL) is used as the estimation technique.FindingsResults from the study show that shadow economy has a positive and significant effect on environmental pollution both in the short and long run, while institutional quality has a negative effect on environmental pollution. This reveals that shadow economy worsens environmental quality while institutional quality abates environmental pollution. The interactive term of shadow economy with institutional quality has a negative but insignificant effect on environmental pollution in the long run. It implies that institutional quality is weak to bring about significant reduction in shadow economy and environmental pollution. Further, the threshold level of institutional quality required to lessen the effect of shadow economy and abate environmental pollution is found to be 5.69 on an ordinal scale of 0–10.Practical implicationsInstitutional quality in Nigeria is weak and needs to be strengthened up to the threshold level in order to effectively moderate the impact of shadow economy on environmental pollution.Originality/valueThe study addresses the perceived gap in the empirical literature on the emerging role of strong institution in abating environmental pollution in Nigeria. It also develops a threshold level of institutional quality capable of mediating the negative impact of shadow economy on environmental pollution. This empirical contribution is largely missing in the context of Nigeria.
Determination of sugar content in Lingwu jujube by NIR–hyperspectral imaging
Authors: Yang Xiaoyu , Liu Guishan , He Jianguo , Kang Ningbo , Yuan Ruirui , Fan Naiyun 
Published: March 2021

AbstractNear infrared hyperspectral imaging (NIR‐HSI) with a spectral range of 900 to 1700 nm was for the first time used to predict the changes of sugar content in Lingwu jujube during storage. Monte Carlo method was adopted to detect outliers, and multiple scattering correction (MSC), standard normal variate transformation (SNV), and Baseline were used to optimize modeling. Competitive adaptive reweighted sampling (CARS), interval variable iterative space shrinkage approach (iVISSA), and interval random frog (IRF) were used to select optimal wavelengths. In addition, partial least square regression (PLSR) and support vector machine (SVM) modeling based on optimal wavelengths were compared. The results showed that 30, 30, and 24 wavelengths were selected by CARS; 106, 87, and 112 feature wavelengths were selected by iVISSA; and 96, 71, and 83 optimal wavelengths were selected by IRF for sucrose, fructose, and glucose, respectively. The CARS–PLSR models provided the best results for fructose and glucose, and iVISSA–SVM model was better for sucrose. The results indicated that NIR–HSI model may be used as a rapid and nondestructive method for the determination of sugar content in jujubes.
Is methotrexate hepatotoxicity associated with cumulative dose? A systematic review and meta‐analysis
Authors: Azzam Ali , Jiyad Zainab , O’Beirne James 
Published: March 2021

AbstractBackground/objectiveMethotrexate (MTX) is widely used in various medical specialties. However, hepatotoxicity is an ongoing concern and this is thought to be directly associated with cumulative dose. We sought to synthesise the published literature to evaluate the association between methotrexate hepatotoxicity and cumulative dose.MethodsA systematic review of Medline (PubMed) EMBASE, CINAHL and The Cochrane Library was performed. Full texts of articles were examined, and excluded articles were recorded with reasons for exclusion. A meta‐analysis of correlation coefficients was performed using Fisher's z‐transformation and a random effects model. Cochran’s Q‐test and the I2 statistic were calculated to assess heterogeneity.ResultsA total of 35 studies met inclusion criteria. Measures of hepatotoxicity were highly varied and included liver biopsy, elastography, FibroTest, biochemical tests and scoring systems (Fib‐4, APRI, AST:ALT). Some studies analysed for the association with MTX cumulative dose using more than one modality. Overall, 38 analyses found no significant association between MTX cumulative dose and hepatoxicity vs eight that identified a significant association. The pooled correlation coefficient from five studies which utilised elastography was 0.18 (95% CI, −0.09 to 0.42), with significant heterogeneity between studies (P < 0.0001), I2 = 92%).ConclusionsOur synthesis of a large volume of studies in this review found no significant association between MTX cumulative dose and hepatotoxicity, both in terms of vote counting and with regard to the meta‐analysis of correlation coefficients from studies that utilised elastography. This challenges the long‐held belief that liver injury is a direct result of drug accumulation.
Segmental stiff skin syndrome (SSS): Clinical case and a brief review
Authors: Cerejeira Diogo , Bonito Frederico , António Ana Marta , Cunha Henriqueta 
Published: March 2021

AbstractStiff skin syndrome (SSS) is a rare, scleroderma‐like condition that is commonly characterised by stony hard skin and limited joint mobility, in the absence of visceral involvement or immunologic abnormalities. Depending on the distribution of the disease, this disorder can be further categorised into classic (widespread) SSS or its newly described segmental variant. Additional features of this syndrome may include hypertrichosis, lipodystrophy, dysmetria and scoliosis. In this report, we present the case of a patient with segmental SSS and we briefly review the current literature about the topic.