bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phylogenomic relationships and historical biogeography in the South American vegetable ivory palms (Phytelepheae)
Authors: Escobar Sebastián , Helmstetter Andrew J. , Montúfar Rommel , Couvreur Thomas L. P. , Balslev Henrik 
Published: September 2020

AbstractThe vegetable ivory palms (Phytelepheae) form a small group of Neotropical palms whose phylogenetic relationships are not fully understood. Three genera and eight species are currently recognized; however, it has been suggested that Phytelephas macrocarpa could include the species Phytelephas seemannii and Phytelephas schottii because of supposed phylogenetic relatedness and similar morphology. We inferred their phylogenetic relationships and divergence time estimates using the 32 most clock-like loci of a custom palm bait-kit formed by 176 genes and four fossils for time calibration. We additionally explored the historical biogeography of the tribe under the recovered phylogenetic relationships. Our fossil-dated tree showed the eight species previously recognized, and that P. macrocarpa is not closely related to P. seemanii and P. schottii, which, as a consequence, should not be included in P. macrocarpa. The ancestor of the vegetable ivory palms was widely-distributed in the Chocó, the inter-Andean valley of the Magdalena River, and the Amazonia during the Miocene at 19.25 Ma. Early diversification in Phytelephas at 5.27 Ma can be attributed to trans-Andean vicariance between the Chocó/Magdalena and the Amazonia. Our results support the role of Andean uplift in the early diversification of Phytelephas under new phylogenetic relationships inferred from genomic data.
Genomic analyses of two Italian oyster mushroomPleurotus pulmonariusstrains
Authors: de Ulzurrun Guillermo Vidal-Diez , Lee Yi-Yun , Stajich Jason E. , Schwarz Erich M. , Hsueh Yen-Ping 
Published: September 2020

AbstractPleurotusmushrooms are among the most cultivated fungi in the world and are highly valuable for food, medicine and biotechnology industries. Furthermore,Pleurotusspecies are carnivorous fungi; they can rapidly paralyze and kill nematodes when nutrient-deprived. The predator-prey interactions betweenPleurotusand nematodes are still widely unexplored. Moreover, the molecular mechanisms and the genes involved in the carnivorous behavior ofPleurotusmushrooms remain a mystery. We are attempting to understand the interactions betweenPleurotusmushrooms and their nematode prey through genetic and genomic analyses. Two single spores (ss2 and ss5) isolated from a fruiting body ofPleurotus pulmonariusexhibited significant differences in growth and toxicity against nematodes. Thus, using PacBio long reads, we assembled and annotated two high-quality genomes for these two isolates ofPleurotus pulmonarius. Each of these assemblies contains 23 scaffolds, including 6 (ss2) and 8 (ss5) telomere-to-telomere scaffolds, and they are among the most complete assembled genomes of thePleurotusspecies. Comparative analyses identified the genomic differences between the twoP. pulmonariusstrains. In sum, this work provides a genomic resource that will be invaluable for better understanding the Italian oyster mushroomP. pulmonarius.
Bayesian Connective Field Modeling: a Markov Chain Monte Carlo approach
Authors: Invernizzi Azzurra , Haak Koen V. , Carvalho Joana C. , Renken Remco J. , Cornelissen Frans W. 
Published: September 2020

AbstractThe majority of neurons in the human brain process signals from neurons elsewhere in the brain. Connective Field (CF) modeling is a biologically-grounded method to describe this essential aspect of the brain’s circuitry. It allows characterizing the response of a population of neurons in terms of the activity in another part of the brain. CF modeling translates the concept of the receptive field (RF) into the domain of connectivity by assessing the spatial dependency between signals in distinct cortical visual field areas. Standard CF model estimation has some intrinsic limitations in that it cannot estimate the uncertainty associated with each of its parameters. Obtaining the uncertainty will allow identification of model biases, e.g. related to an over- or under-fitting or a co-dependence of parameters, thereby improving the CF prediction. To enable this, here we present a Bayesian framework for the CF model. Using a Markov Chain Monte Carlo (MCMC) approach, we estimate the underlying posterior distribution of the CF parameters and consequently, quantify the uncertainty associated with each estimate. We applied the method and its new Bayesian features to characterize the cortical circuitry of the early human visual cortex of 12 healthy participants that were assessed using 3T fMRI. In addition, we show how the MCMC approach enables the use of effect size (beta) as a data-driven parameter to retain relevant voxels for further analysis. Finally, we demonstrate how our new method can be used to compare different CF models. Our results show that single Gaussian models are favoured over differences of Gaussians (i.e. center-surround) models, suggesting that the cortico-cortical connections of the early visual system do not possess center-surround organisation. We conclude that our new Bayesian CF framework provides a comprehensive tool to improve our fundamental understanding of the human cortical circuitry in health and disease.Highlights□ We present and validate a Bayesian CF framework based on a MCMC approach.□ The MCMC CF approach quantifies the model uncertainty associated with each CF parameter.□ We show how to use effect sizebetaas a data-driven threshold to retain relevant voxels.□ The cortical connective fields of the human early visual system are best described by a single, circular symmetric, Gaussian.
The labor share and income inequality: some empirical evidence for the period 1990-2015
Authors: Erauskin Iñaki 
Published: September 2020

PurposeThe purpose of this paper is to analyze empirically the relationship between the labor share and income inequality, as measured by the Gini coefficient and by the income shares for different quintiles, during the period 1990–2015 for 62 developed and developing countries.Design/methodology/approachThis study uses panel data techniques to analyze empirically the relationship between the labor share and income inequality.FindingsThis paper finds that a lower labor share is associated with a higher Gini coefficient. A lower labor share is found to be strongly associated with a smaller income share for the lowest two quintiles and larger income share for the highest quintile and weakly associated with a smaller income share for the third and fourth quintiles. Moreover, this paper finds that the lower the quintile, the stronger the impact of the labor share on the income share of the quintile.Social implicationsPolicymakers should take into account the evolution of the labor share. Public policies that improve labor market outcomes, such as those aimed to promote participation in the labor market and strengthen the human capital of low-income groups, seem necessary to prevent the rise in economic inequalities. Moreover, as the digital transformation of society progresses, policies to promote skill deepening may have an important role in reversing excessive inequalities.Originality/valueHow changes in the labor share are associated with changes in the Gini coefficient, and how this is driven by income shares for different quintiles, for a broad range of countries during the most recent period, has not been comprehensively studied using panel data techniques.
A contribution to the empirics of food price behavior: the case of rice price dynamics in Italy
Authors: Barboza Gustavo , Gavinelli Laura , Pede Valerien , Mazzucchelli Alice , Di Gregorio Angelo 
Published: September 2020

PurposeThe purpose is to detect the nonlinearity wholesale rice price formation process in Italy in the 1995–2017 period.Design/methodology/approachA nonlinear smooth transition autoregressive (STAR)-type dynamics model is used.FindingsWholesale rice prices are significantly affected by variations in the international price of rice as well as variations in Arborio price.Research limitations/implicationsThe limitations include policy recommendations for the production and commercialization of rice in Italy.Practical implicationsUnderstanding rice pricing dynamics and nonlinearity behavior is pivotal for the survival of the entire European and Italian rice supply chain.Originality/valueIn the extant literature, no evidence exists on non-linearity of rice prices in Italy.
The COVID-19 crisis and sustainability in the hospitality industry
Authors: Jones Peter , Comfort Daphne 
Published: September 2020

Purpose
This paper offers some reflections on changes in the relationships between sustainability and the hospitality industry following the onset of the Coronavirus Disease 2019 (COVID-19) crisis. (Covid-19 is officially a pandemic, but the term “COVID-19 crisis” is used throughout this paper because the authors feel that it captures the wider impacts of the crisis, rather than just focussing on the disease itself).

Design/methodology/approach
The paper describes the COVID-19 crisis, emphasises the role of hospitality in economic and social life and reviews how the crisis has changed the relationships between sustainability and the hospitality industry.

Findings
The paper reveals the dramatic effect the crisis has had on sustainability in the hospitality industry. That said, though the crisis has offered a vision of a more sustainable future, this vision may pose a major challenge for the industry and for many of its traditional customers.

Research limitations/implications
The paper outlines some of the theoretical, operational, strategic and research implications of the crisis for the hospitality industry and for hospitality scholars.

Originality/value
This paper provides a reflective review of changes in the relationships between sustainability and the hospitality industry following the onset of COVID-19.
Students' choice of international branch campus in Malaysia: a gender comparative study
Authors: Sim Adriel K.S. , Tan Kim-Lim , Sia Joseph Kee-Ming , Hii Ivy S.H. 
Published: September 2020

PurposeIn the last decade, female students' enrolment in higher education has experienced significant growth. However, male and female students still differ in criteria set of choosing higher education institutions. While several studies have been disentangled in developed countries in analyzing gender differences in pursuing higher education, a similar area of studies conducted in developing countries is scarce. The purpose of this study is to examine gender differences and the factors that influence first-year students' choice of higher education in a developing country.Design/methodology/approachThe study involved 575 students who were either enrolled in an undergraduate or foundation program of an international branch campus. We tested the hypotheses using partial least squares multigroup analysis (PLS-MGA).FindingsOur results revealed that graduate employability, information sources, program characteristics, institution characteristics and campus safety were influential factors affecting the students' institutional choice. The MGA results also indicated that gender differences exist in selecting higher education institutions. Male students are more strongly influenced by information sources such as family, friends, media compared with female students.Originality/valueVery few international branch campus choice studies explore gender differences in developing countries. This study enriches the current literature of institutional choice through the lens of an Asian developing country and extends the discourse regarding the role of gender in influencing students' institutional choice, of which they are commonly overlooked in most literature. The study has significant implications for student recruitment managers in higher education institution to develop marketing strategies targeting to potential male and female students.
Innovations in veterinary markets: opinion leaders’ social capital
Authors: Kulkov Ignat , Barner-Rasmussen Wilhelm , Ivanova-Gongne Maria , Tsvetkova Anastasia , Hellström Magnus , Wikström Kim 
Published: September 2020

PurposeThis study aims to identify how the personal social capital of opinion leaders contributes to the market adoption of start-up innovations.Design/methodology/approachA design-oriented case study is undertaken with a start-up company focusing on the development and commercialization of innovations in the veterinary market. Based on a literature review, the authors examine the social capital in value creation and the role of opinion leaders and use qualitative methodology and semi-structured in-depth interviews to collect data.FindingsThe adoption of innovations could start with opinion leaders that will later share their experience with other members of the professional community. In turn, social capital allows for creating a collaboration between start-ups and leaders based on a number of specific parameters.Originality/valueThis paper contributes to marketing literature by providing new insights regarding collaboration between start-ups and opinion leaders. The collaboration between opinion leaders and start-ups could be implemented not only in the veterinary industry but also in other industries with minor adaptations. Authors demonstrate how the social capital of external stakeholders may be used as a resource of the company for business development. The main contribution of this study is to demonstrate that social capital could be used as a parameter for the adoption of innovations. The key parameters that allow creating cooperation between start-up and opinion leader have been identified.
Bring your own device to work: how serious is the risk?
Authors: Annansingh Fenio 
Published: September 2020

Purpose
Currently, one of the most significant challenges organizations face is that corporate data is being delivered to mobile devices that are not managed by the information technology department. This has security implications regarding knowledge leakage, data theft, and regulatory compliance. With these unmanaged devices, companies have less control and visibility, and fewer mitigation options when protecting against the risks of cyber-attacks. Therefore, the purpose of this study is to investigate how millennials' use of personal mobile devices for work contributes to increased exposure to cyber-attacks and, consequently, security and knowledge leakage risks.

Design/methodology/approach
This research used a mixed-method approach by using survey questionnaires to elicit the views of millennials regarding the cybersecurity risks associated with bring your own device policies and practices. Interviews were done with security personnel. Data analysis consisted of descriptive analysis and open coding.

Findings
The results indicate that millennials expect to have ready access to technology and social media at all times, irrespective of security and privacy concerns. Companies also need to improve and enforce bring your own device policies and practices to mitigate against knowledge leakage and security risks. Millennials increasingly see the use of personal devices as a right and not a convenience. They are expecting security measures to be more seamless within the full user experience.

Originality/value
This paper can help organizations and millennials to understand the security risks entering the workforce if the threats of using privately owned devices on the job are ignored and to improve organizational performance.
Cultural traits of entrepreneurship education: a cross-national study
Authors: Fleck Emma , Kakouris Alexandros , Winkel Doan 
Published: September 2020

Purpose
This study aims to develop insights on how national culture, gender and field of study can influence the impact of entrepreneurship education toward the development of entrepreneurial intention.

Design/methodology/approach
The entrepreneurship education project gathered data from over 18,000 undergraduate student responses, spanning over 70 countries and 400 universities. The sample used in this research examined eight countries with significantly different national cultures, while a quantitative analysis of a sample of n = 5,033 responses was performed. Beyond correlation analysis, a hierarchical multiple regression model is implemented for intention along with moderation analysis.

Findings
The statistical analysis reveals robust correlations among several entrepreneurial concepts and national cultural indices. As expected, national culture interweaves with all entrepreneurial concepts and more significantly for students of socially oriented disciplines. Gendera and field of the study appear moderators of causal relationships between entrepreneurial constructs. Exerting a strong influence by culture, entrepreneurial identity appears the most significant explanator of intention. Overall, the emergent pattern suggests entrepreneurship is intentional, but in a socially justified and accepted manner closely related to local cultural norms and institutions.

Research limitations/implications
Implications pertain to research for entrepreneurial intention and to educators and educational bodies concerning their goal setting for entrepreneurial programs and appropriate scheduling of effective pedagogies.

Originality/value
The study exploits a large data set from eight countries (Brazil, Colombia, Germany, Lithuania, Malaysia, Mexico, Spain and USA) which permits systematic quantitative search for the influence of culture on the impact of entrepreneurship education. Cross-national studies of entrepreneurship education and the effect of national culture have been scant in literature – a research gap the study responds to. The inclusion of both developing and developed countries contributes in a novel way to a unique understanding of the influence of culture on entrepreneurial concepts through education.
Care of stroke survivors in community: a case study of rural Thai community
Authors: Intamas Usanun , Rawiworrakul Tassanee , Amnatsatsue Kwanjai , Nanthamongkolchai Sutham , Palmer Mary H. 
Published: September 2020

PurposeThis study aims to describe survivors of stroke circumstances, issues with providing care for survivors of stroke and services expected by caregivers and survivors of stroke.Design/methodology/approachA qualitative research design was conducted in Singburi Province. Data collection methods included in-depth interviews, focus groups and participatory observations. Semi-structured in-depth interview guides, quality-of-life scale and depression scale were used to collect data from survivors of stroke, their caregivers, health personnel, local governors and village health volunteers. Naturalistic research tradition was used for qualitative data analysis and descriptive statistics for quantitative data analysis.FindingsThe majority of survivors of stroke had hemiplegic limb and severe deficits in their activities of daily living. Caregivers were family members, and they often developed depression. Issues with providing care to stroke survivors included lack of knowledge about stroke and home care, inadequacy and discontinuity of care and the shortage of stroke care personnel in the community. A stakeholder's expected stroke services included the provision of effective continuing care, community participation in care and enhancing the village health volunteer's capacity.Originality/valueThis study illustrated the stroke service systems in rural Thai communities. The study's findings could be applied when planning future research using community participation to test a model of care for stroke survivors to promote better outcomes and be responsive to the needs of stroke survivors, especially those who are disabled.
Service innovation, customer satisfaction and behavioural intentions: a conceptual framework
Authors: Truong Ngan Tuyet , Dang-Pham Duy , McClelland Robert James , Nkhoma Mathews 
Published: September 2020

Purpose
This paper aims to propose a conceptual framework to investigate the influences of innovative services on customer satisfaction and behavioural intentions. As service innovation has been focusing on the influences of product and technology innovation, this paper provides another insight into service innovation.

Design/methodology/approach
The proposed conceptual framework is based on findings from reviewing key theories and concepts, together with relevant literature in the service operation management, service innovation and hospitality management.

Findings
The proposed conceptual framework can be used to test empirically and explicate customer satisfaction and behavioural intentions towards service innovation of the hospitability operations. There are seven determinants can influence customer satisfaction: innovative mechanic clues, innovative humanic clues and innovative functional clues to influence customer transaction-specific satisfaction; complexity, meaningfulness, novelty and affordability to influence customer overall satisfaction. Customer expectation is formed by social factors, information, knowledge and their need to influence their actual perception, and the comparison between customers’ expectation and actual perception cause their satisfaction. The relationships amongst transaction-specific satisfaction, overall satisfaction and behavioural intentions can explain customer satisfaction comprehensively as a process of before, during and after their perception.

Practical implications
This paper highlights the importance of innovative service delivery and customers’ evaluation to contribute to creating service innovation. A synthetic definition of service innovation emphasised can help practitioners to define key determinants to effectively influence customer satisfaction and their behavioural intentions. Thus, marketing strategy aligned with operation management, can be practised appropriately.

Originality/value
This study provides key determinants to influencing customer satisfaction of service innovation through innovative service delivery in the hospitality operation, based on key theories and relevant literature.