bluuebunny/crossref_metadata_2025_split huggingface dataset:
Desert Hedgehog-driven endothelium integrity is enhanced by Gas1 but negatively regulated by Cdon
Authors: Chapouly Candice , Hollier Pierre-Louis , Guimbal Sarah , Cornuault Lauriane , Gadeau Alain-Pierre , Renault Marie-Ange 
Published: April 2020

AbstractEvidences accumulated within the past decades, identified Hedgehog (Hh) signaling as a new regulator of micro-vessel integrity. More specifically, we recently identified Desert Hedgehog (Dhh) as a downstream effector of Klf2 in endothelial cells (ECs).ObjectiveThe purpose of this study is to investigate whether Hh co-receptors Gas1 and Cdon may be used as therapeutic targets to modulate Dhh signaling in ECs.Methods and resultsWe demonstrated that both Gas1 and Cdon are expressed in adult ECs and relied on either siRNAs or EC specific conditional KO mice to investigate their role. We found that Gas1 deficiency mainly photocopies Dhh deficiency especially by inducing VCAM-1 and ICAM-1 overexpression while Cdon deficiency has opposite effects by promoting endothelial junction integrity. At a molecular level, Cdon prevents Dhh binding to Ptch1 and thus acts a decoy receptor for Dhh, while Gas1 promotes Dhh binding to Smo and as a result potentiates Dhh effects. Since Cdon is overexpressed in ECs treated by inflammatory cytokines including TNFα and Il1β, we then tested whether Cdon inhibition would promote endothelium integrity in acute inflammatory conditions and found that both fibrinogen and IgG extravasation were decreased in association with an increased Cdh5 expression in the brain cortex of EC specific Cdon KO mice administered locally with Il1β.ConclusionAltogether these results demonstrate that Gas1 is a positive regulator of Dhh in ECs while Cdon is a negative regulator. Interestingly Cdon blocking molecules may then be used to promote endothelium integrity at least in inflammatory conditions.
Earnings persistence, institutional investors monitoring and types of political connections
Authors: Tee Chwee Ming , Rasiah Puspavathy 
Published: April 2020

PurposeThe purpose of this study is to examine whether institutional investors monitoring attenuate (exacerbate) weaker earnings persistence in politically connected firms (PCFs). In addition, it investigates whether earnings persistence do vary according to different types of political connections.Design/methodology/approachThis study employs earnings persistence as measure of earnings quality and ordinary least squares (OLS) model to examine: (1) the moderating effect of institutional investors’ ownership on the association between earnings persistence and PCFs and (2) the association between different types of political connections and earnings persistence.FindingsThis study finds that institutional investors' ownership attenuates weaker earnings quality in PCFs, indicating effective monitoring. However, stronger earnings persistence is associated with PCFs with longer political ties, audited by big four audit firm and with higher CEO power.Originality/valueThis study reveals the lower earnings persistence in PCFs can be attenuated by institutional investors monitoring. However, findings also suggest that earnings persistence in PCFs is affected by duration of political ties, big four audit firm and CEO power. This suggests that PCFs should not be viewed as a homogeneous group of firms.
To be or not to be in the sample? On using manipulation checks in experimental accounting research
Authors: Kotzian Peter , Stoeber Thomas , Hoos Florian , Weissenberger Barbara E. 
Published: April 2020

Purpose
Manipulation checks are a recommended for experimental accounting research. Usage of information gained by manipulation checks varies. In some studies, participants who failed the manipulation check are removed from the sample. Other studies report the results of the manipulation checks but still use the full sample. Some authors recommend removing participants who failed the manipulation check as a means to increase the power of the statistical analysis. Others warn that removing these participants endangers the randomization as a crucial precondition for gaining valid insights from experimental research. Until now, there is little research on how sensitive results react to exclusion of participants. The purpose of this paper is to study the effects of removing participants failing the manipulation checks on the evaluation of a hypothesis and the development of alternative usages of the information gained from manipulation checks.

Design/methodology/approach
Based on an analytical model and a simulation, the authors show how removing participants who fail the manipulation check affects experimental findings.

Findings
Simulations show that statistical results and conclusions drawn from an experiment differ substantially, depending on whether participants who failed the manipulation check are removed from the sample. As the participants who are removed are no random sub-sample, but share a certain property, the experimental results react strongly, typically showing significant results, where there are actually none.

Originality/value
This paper is, to the best of the authors’ knowledge, the first to address the sensitivity of experimental results to removing participants who fail the manipulation check from the sample and the implications for the validity of conclusions drawn from experimental accounting research. This paper’s contribution is a better way of using information gained in the manipulation check in the statistical analysis of the experimental data.
An entrepreneurial view of universal work-integrated learning
Authors: Dorland AnneMarie , Finch David J. , Levallet Nadège , Raby Simon , Ross Stephanie , Swiston Alexandra 
Published: April 2020

PurposeWork-integrated learning (WIL) has emerged as a leading pedagogy that blends theory with application. In recent years, policymakers, educators and practitioners have called for a significant expansion of WIL, one which would enable every undergraduate student has at least one WIL experience during their program of study. Despite these appeals, there remains a significant divide between the aspiration of universality and the realities. Consequently, the study asks the following question: How can post-secondary institutions expand their WIL initiatives to universal levels that deliver transformative learning?Design/methodology/approachIn this exploratory study, the authors leverage research from entrepreneurship and management to develop a conceptual model of universal work-integrated learning (UWIL). Entrepreneurship and management research is relevant in this context, as the rapid introduction of a UWIL has transformative implications at the level of the individual (e.g. students, faculty), organization (e.g. processes) and the learning ecosystem (e.g. partners, policymakers) — issues at the core of research in entrepreneurship and management over the past two decades.FindingsAt the core of the authors’ proposal is the contention that the high-impact talent challenge and the delivery of UWIL must be reframed as not simply a challenge facing educators, but as a challenge facing the broader ecosystem of the workforce and the larger community. The authors propose the implementation of UWIL through an open innovation framework based on five strategic pillars.Originality/valueUltimately, the findings the authors present here can be leveraged by all members of the learning ecosystem, including administrators, faculty, policymakers, accreditation bodies and community partners, as a framework for operationalizing a UWIL strategy. The study’s model challenges all members of this learning ecosystem to operationalize a UWIL strategy. This entrepreneurial reframing introduces the potential for innovating the delivery of UWIL by leveraging the broader learning ecosystem to drive efficiencies and transformative learning.
Peacemaking at work and at home
Authors: Zhang Xiaolei , Bollen Katalien , Euwema Martin 
Published: April 2020

Purpose
The purpose of this paper is to explore the relations between peacemaking at work and peacemaking at home. Peacemaking is defined as voluntarily helping behavior in interpersonal conflict, by a person who has no formal authority over the conflicting parties, acts impartial and works with either one or more parties to solve the conflict constructively (Zhang et al., 2018).

Design/methodology/approach
In total, 639 participants engaged in a survey to measure their peacemaking behavior at work and at home. First, the peacemaking scale is validated using factor analysis. To test the hypotheses regression analysis is conducted.

Findings
Results show that peacemaking at work and at home are positively-related. Further, compared to peacemaking at work, people tend to be more often engaged in peacemaking at home; are more focused on settling the issues, provide more emotional support and use more humor, however, are less multi-partial.

Research limitations/implications
Although based on self-reports, the results regarding the positive relation between peacemaking at work and at home may be enlightening in human resource management such as personnel selection.

Originality/value
The study provides the first theory-based instrument to measure peacemaking as informal helping behavior in interpersonal conflict, at work and at home. Five components are measured, namely, peacemaking in general, multi-partiality, settlement-oriented, emotion-oriented and humorous peacemaking behaviors.
Institutional environment and internationalization of franchise chains: a regional and global analysis
Authors: Lanfranchi Andrea , Melo Pedro Lucas de Resende , Borini Felipe Mendes , Telles Renato 
Published: April 2020

PurposeIn this study, the authors identify how formal institutional environments in destination countries matter to franchise chains as they internationalize. The institutional environment of the destination countries of franchise chains is characterized according to three institutional dimensions necessary to attract international investment – public governance, ease of doing business and legal processes – and analyzed in the context of regional and global franchise expansion.Design/methodology/approachThe descriptive quantitative study involved 625 franchise chains from Australia, Brazil, Germany, India, Russia, South Africa and the United States, with a total of 2,939 observations.FindingsResults suggest that franchise chains from emerging markets are guided by the institutional conditions of ease of doing business and the quality of legal processes in global expansion and guided by ease of doing business, quality of legal processes and governance in regional expansion. On the other hand, franchise chains from developed markets are guided by the ease of doing business, quality of legal processes and governance in global expansion and governance and ease of doing business in regional expansion.Research limitations/implicationsThe sample included only franchise chains associated with organizations that represent franchises in their countries of origin, and the study does not analyze the effect of institutional distance between countries of origin and destination.Originality/valueThis study identifies the formal institutional characteristics that explain selection and commitment in international markets by franchise chains from different countries. The contribution is in analyzing the phenomenon through the lens of institutional theory and showing, through a global sample, that institutions matter to franchise chains from different types of countries (developed and emerging) and with different strategies for internationalization (global and regional).
Intelligent fault diagnosis method of rolling bearing based on stacked denoising autoencoder and convolutional neural network
Authors: Che Changchang , Wang Huawei , Ni Xiaomei , Fu Qiang 
Published: April 2020

Purpose
The purpose of this study is to analyze the intelligent fault diagnosis method of rolling bearing.

Design/methodology/approach
The vibration signal data of rolling bearing has long time series and strong noise interference, which brings great difficulties for the accurate diagnosis of bearing faults. To solve those problems, an intelligent fault diagnosis model based on stacked denoising autoencoder (SDAE) and convolutional neural network (CNN) is proposed in this paper. The SDAE is used to process the time series data with multiple dimensions and noise interference. Then the dimension-reduced samples can be put into CNN model, and the fault classification results can be obtained by convolution and pooling operations of hidden layers in CNN.

Findings
The effectiveness of the proposed method is validated through experimental verification and comparative experimental analysis. The results demonstrate that the proposed model can achieve an average classification accuracy of 96.5% under three noise levels, which is 3-13% higher than the traditional models and single deep-learning models.

Originality/value
The combined SDAE–CNN model proposed in this paper can denoise and reduce dimensions of raw vibration signal data, and extract the in-depth features in image samples of rolling bearing. Consequently, the proposed model has more accurate fault diagnosis results for the rolling bearing vibration signal data with long time series and noise interference.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2019-0496/
A strategic conflict analysis in IT outsourcing using the graph model for conflict resolution
Authors: Silva Maisa Mendonça , Poleto Thiago , de Gusmão Ana Paula Henriques , Costa Ana Paula Cabral Seixas 
Published: April 2020

PurposeThe purpose of this paper is to propose a strategic conflict analysis, based on the graph model for conflict resolution (GMCR), that is applied to information technology outsourcing (ITO) in a real-world software development and implementation process in Brazil.Design/methodology/approachBecause the idea of this study is to answer “why” the ITO conflicts occur and “how” they can be avoided, the case study methodology was adopted. The software GMCR II was used to analyze the interactions between an IT vendor and an IT client.FindingsThe results suggest that a lack of relational governance is a critical issue that could be handled to improve the interaction between those involved.Research limitations/implicationsThe main results are restricted to the case study and cannot be generalized. Moreover, a specific limitation of this paper pertains to the use of the GMCR and the consequent difficulty for IT vendors and IT clients to work with a large number of actions and to set preferences for several states of conflict.Practical implicationsThe strategic analysis of outsourcing conflicts provides a holistic view of the current situation that may assist the client and vendor in future decisions and identify guidelines to ensure successful ITO. Therefore, this paper provides an effective guide for clients and vendors to better manage conflicts and establish a contingency vision to avoid such disputes.Originality/valueThe ITO conflict is analyzed using the GMCR, considering both perspectives of the outsourcing process (vendors and clients).
Association of uric acid with metabolic parameters and obesity
Authors: Mahdavi-Roshan Marjan , Movahedian Mina , Kord Varkaneh Hamed , Salari Arsalan , Sedanur Macit Melahat , Rezazadeh Arezoo 
Published: April 2020

Purpose
Recent studies have shown that hyperuricemia is a predictor of non-communicable disease and an increment of mortality rate. Also, elevated serum uric acid may be associated with obesity in the adult population. This study aims to evaluate the association between serum uric acid levels with metabolic parameters and risk of obesity in the Iranian population.

Design/methodology/approach
The cross-sectional study was done on 550 participants, who were referred to a hospital for elective angiography in Rasht, Iran; anthropometric indices (waist circumference (WC) and body mass index (BMI)) and hematological factors were measured using the standard approaches. Based to the angiography results, the severity of atherosclerosis was defined.

Findings
The mean (SD) concentration of serum uric acid for all participants was 5.15 (1.37) mg/dl. Individuals who were at the highest tertile had higher mean (SD) of weight (p = 0.004), creatinine and blood urea nitrogen (p < 0.001) lower fasting blood sugar (FBS) (p = 0.000) and HbA1c (p = 0.016), and they were mostly men compared with those in the lowest tertile. After adjusting for confounders, FBS (ß = –0.145, p = 0.001) and HbA1c (%) (ß = –0.130, p = 0.019) had inverse and weight (ß = 0.156, p = 0.001) had direct association with serum uric acid. After adjustment for additionally potential confounders subjects in the highest tertile of serum uric acid had 92 per cent higher chance of obesity compared with subjects in the lowest tertile (OR 1.92; 95 per cent CI 1.13, 3.23).

Originality/value
The present study has concluded that increase serum uric acid related to high risk of obesity and low mean of FBS and HbA1c.
Crossing the kingdom border: Human diseases caused by plant pathogens
Authors: Kim Jun‐Seob , Yoon Sung‐Jin , Park Young‐Jun , Kim Seon‐Yeong , Ryu Choong‐Min 
Published: April 2020

SummaryInteractions between pathogenic microorganisms and their hosts are varied and complex, encompassing open‐field scale interactions to interactions at the molecular level. The capacity of plant pathogenic bacteria and fungi to cause diseases in human and animal systems was, until recently, considered of minor importance. However, recent evidence suggests that animal and human infections caused by plant pathogenic fungi, bacteria and viruses may have critical impacts on human and animal health and safety. This review analyses previous research on plant pathogens as causal factors of animal illness. In addition, a case study involving disruption of type III effector‐mediated phagocytosis in a human cell line upon infection with an opportunistic phytopathogen, Pseudomonas syringae pv. tomato, is discussed. Further knowledge regarding the molecular interactions between plant pathogens and human and animal hosts is needed to understand the extent of disease incidence and determine mechanisms for disease prevention.
Global value chain and growth convergence: Applied especially to China
Authors: Cheng Dazhong , Wang Jian , Xiao Zhiguo 
Published: April 2020

AbstractWe propose a new convergence potential indicator for standard growth convergence regressions: the global value chain (GVC) position index, measured by the contribution of high‐skilled labour in total domestic value added. Our convergence indicator can avoid the lagged dependent variable problem discussed in Barro (2015 and 2016) and deliver more accurate forecasts for China’s GDP growth than GDP per capita does. Using the GVC position index, we predict that China’s growth potential remains at 7–8% between 2010 and 2015, while the predictions using GDP per capita as the convergence potential indicator are much lower.
Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals
Authors: De Vrieze Jo , De Mulder Thijs , Matassa Silvio , Zhou Jizhong , Angenent Largus T. , Boon Nico , Verstraete Willy 
Published: April 2020

SummaryPure (single) cultures of microorganisms and mixed microbial communities (microbiomes) have been important for centuries in providing renewable energy, clean water and food products to human society and will continue to play a crucial role to pursue the Sustainable Development Goals. To use microorganisms effectively, microbial engineered processes require adequate control. Microbial communities are shaped by manageable deterministic processes, but also by stochastic processes, which can promote unforeseeable variations and adaptations. Here, we highlight the impact of stochasticity in single culture and microbiome engineering. First, we discuss the concepts and mechanisms of stochasticity in relation to microbial ecology of single cultures and microbiomes. Second, we discuss the consequences of stochasticity in relation to process performance and human health, which are reflected in key disadvantages and important opportunities. Third, we propose a suitable decision tool to deal with stochasticity in which monitoring of stochasticity and setting the boundaries of stochasticity by regulators are central aspects. Stochasticity may give rise to some risks, such as the presence of pathogens in microbiomes. We argue here that by taking the necessary precautions and through clever monitoring and interpretation, these risks can be mitigated.
Identifying error and accurately interpreting environmental DNA metabarcoding results: A case study to detect vertebrates at arid zone waterholes
Authors: Furlan Elise M. , Davis Jenny , Duncan Richard P. 
Published: April 2020

AbstractEnvironmental DNA (eDNA) metabarcoding surveys enable rapid, noninvasive identification of taxa from trace samples with wide‐ranging applications from characterizing local biodiversity to identifying food‐web interactions. However, the technique is prone to error from two major sources: (a) contamination through foreign DNA entering the workflow, and (b) misidentification of DNA within the workflow. Both types of error have the potential to obscure true taxon presence or to increase taxonomic richness by incorrectly identifying taxa as present at sample sites, but multiple error sources can remain unaccounted for in metabarcoding studies. Here, we use data from an eDNA metabarcoding study designed to detect vertebrate species at waterholes in Australia's arid zone to illustrate where and how in the workflow errors can arise, and how to mitigate those errors. We detected the DNA of 36 taxa spanning 34 families, 19 orders and five vertebrate classes in water samples from waterholes, demonstrating the potential for eDNA metabarcoding surveys to provide rapid, noninvasive detection in remote locations, and to widely sample taxonomic diversity from aquatic through to terrestrial taxa. However, we initially identified 152 taxa in the samples, meaning there were many false positive detections. We identified the sources of these errors, allowing us to design a stepwise process to detect and remove error, and provide a template to minimize similar errors that are likely to arise in other metabarcoding studies. Our findings suggest eDNA metabarcoding surveys need to be carefully conducted and screened for errors to ensure their accuracy.