bluuebunny/crossref_metadata_2025_split huggingface dataset:
Expression-Based Inference of Human Microbiome Metabolic Flux Patterns in Health and Disease
Authors: Wang Yiping , Gu Zhenglong 
Published: January 2020

1AbstractMetagenomic sequencing has revealed that the composition of the gut microbiome is linked to several major metabolic diseases, including obesity, type 2 diabetes (T2D), and inflammatory bowel disease (IBD). However, the exact mechanistic link between the gut microbiome and human host phenotypes is unclear. Here we used constraint-based modeling of the gut microbiome, using a gene-expression based algorithm called FALCON, to simulate metabolic flux differences in the microbiome of controls vs. metabolic disease patients. We discovered that several major pathways, previously shown to be important in human host metabolism, have significantly different flux between the two groups. We also modeled metabolic cooperation and competition between pairs of species in the microbiome, and use this to determine the compositional stability of the microbiome. We find that that the microbiome is generally unstable across controls as well as metabolic microbiomes, and metabolic disease microbiomes even more unstable than controls.
Chroococcidiorella tianjinensis, gen. et sp. nov. (Trebouxiophyceae, Chlorophyta), a green alga arises from the cyanobacterium TDX16
Authors: Dong Qing-lin , Xing Xiang-ying 
Published: January 2020

AbstractAll algae documented so far are of unknown origin. Here, we provide a taxonomic description of the first origin-known alga TDX16-DE that arises from theChroococcidiopsis-like endosymbiotic cyanobacterium TDX16 by de novo organelle biogenesis after acquiring its green algal hostHaematococcus pluvialis’s DNA. TDX16-DE is spherical or oval, with a diameter of 2.0-3.6 µm, containing typical chlorophyte pigments of chlorophyll a, chlorophyll b and lutein and reproducing by autosporulation, whose 18S rRNA gene sequence shows the highest similarity of 99.7% to that ofChlorella vulgaris. However, TDX16-DE is only about half the size ofC. vulgarisand structurally similar toC. vulgarisonly in having a chloroplast-localized pyrenoid, but differs fromC. vulgarisin that (1) it possesses a double-membraned cytoplasmic envelope but lacks endoplasmic reticulum and Golgi apparatus; and (2) its nucleus is enclosed by two sets of envelopes (four unit membranes). Therefore, based on these characters and the cyanobacterial origin, we describe TDX16-DE as a new genus and species,Chroococcidiorella tianjinensisgen. et sp. nov., which sets the basis for multidisciplinary research.
Searching for replicable associations between cortical thickness and psychometric variables in healthy adults: empirical facts
Authors: Masouleh Shahrzad Kharabian , Eickhoff Simon B. , Genon Sarah 
Published: January 2020

AbstractThe study of associations between inter-individual differences in brain structure and behaviour has a long history in psychology and neuroscience. Many associations between psychometric data, particularly intelligence and personality measures and local variations of brain cortical thickness (CT) have been reported. While the impact of such findings often go beyond scientific communities, resonating in the public mind, their replicability is rarely evidenced.Here, we empirically investigated the replicability of associations of an extended range of psychometric variables and CT in a large cohort of healthy adults. Our analyses revealed low likelihood of significant associations. Furthermore, significant associations from exploratory analyses showed overestimated effect sizes and were rarely replicable in an independent sample.We discuss the interpretation and implications of these findings within the context of accumulating evidence of the poor replicability of structural-brain-behaviour associations using grey matter volume, and more broadly of the replicability crisis of brain and behaviour sciences.
The microbiome of captive hamadryas baboon
Authors: Li Xuanji , Trivedi Urvish , Brejnrod Asker Daniel , Vestergaard Gisle , Mortensen Martin Steen , Bertelsen Mads Frost , Sørensen Søren Johannes 
Published: January 2020

AbstractHamadryas baboon is a highly social primate that lives in complex multilevel societies exhibiting a wide range of group behaviors akin to humans. Here, we report the comprehensive 16s rRNA gene analyses of group-living baboon microbiota across different body sites. Additionally, we compared the baboon and human microbiome of the oral cavity, gut and vagina. Our analyses show that the baboon microbiome is distinct from the human and baboon cohabitants share similar microbial profiles in multiple body sites. The oral, gut and vagina shared more bacterial ASVs in group-living baboons than in humans. The shared ASVs in baboons had significantly positive correlations, suggesting a potential bacterial exchange throughout the body. No significant differences in baboon gut microbiome composition within the maternity line and between maternity lines were detected, suggesting that the offspring acquire their gut microbiota primarily through bacterial exchange among cohabitants. Besides,Lactobacilluswas not so predominant in baboon vagina as in the human vagina but was the most abundant genus in baboon gut. These data and findings can form the basis of future microbiome studies in baboons and be used as a reference to research where the microbiome is expected to impact human modeling with baboons.
Public innovation through governance in place-based competitiveness policymaking
Authors: Arrona Ainhoa , Franco Susana , Wilson James R. 
Published: January 2020

Purpose
The purpose of this paper is to explore the link between collaborative governance arrangements for place-based competitiveness and public innovation.

Design/methodology/approach
The paper combines a conceptual discussion of the links between collaborative governance, competitiveness policy and public innovation with a case study analysis of a specific governance process that aims at adapting policy to respond to local competitiveness challenges in the Basque province of Biscay.

Findings
The conceptual discussion leads to the hypothesis of a new distinction with respect to how governance relates to public innovation. Innovation can occur in governance, through governance or with governance. The analysis of the case supports this distinction. Multi-actor collaboration for competitiveness policymaking (innovation in governance) has led to policy innovation (innovation through governance). This has also promoted emerging administrative changes that could be conducive to a more innovative public sector in general (innovation with governance). These findings validate arguments posed by proponents of collaborative innovation that suggest that multi-actor collaboration is a driver for public sector innovation.

Originality/value
The value of the paper rests on linking theoretically and empirically two relevant and currently popular phenomena: networked governance for place-based competitiveness policymaking and public sector innovation. The paper provides original insights from the practice of building a process for context-sensitive policymaking that can inspire practitioners with similar problems.
Social capital dimensions and employee creativity: Does cognitive style matter?
Authors: Oussi Rahma , Chtourou Wafi 
Published: January 2020

PurposeThis study aims to investigate the theoretical limitations of the social network theory applied on employee creativity.Design/methodology/approachBy combining the social network theory and componential model of creativity, this study studies the possible impact of social capital through its three dimensions (structural, relational and cognitive dimension) on individual creativity, to explore then the moderating effect of cognitive style as individual characteristic on the structural dimension of social capital such weak ties and employee creativity.FindingsThe results show that, on a sample of 95 employees belonging to four companies in the IT sector, predictions based on the social network theory are only weakly verified. Indeed, the relational and cognitive dimensions of social capital do not have a significant impact on individual creativity.Originality/valueBased on Kimet al.’s (2016) call for future research, this study extends the assumptions of the social network theory announcing that social capital through its structural dimension may have an identical impact on individual creativity in all circumstances.
Ethics, human rights and violence in Chihuahua’s digital journalism
Authors: Villanueva-Ledezma Armando , Machin-Mastromatteo Juan D. , González-Quiñones Fidel , Cordero-Hidalgo Aixchel , Flores-Flores Jorge 
Published: January 2020

Purpose
This paper presents the findings of a project that aims to analyze the ethical treatment of the news, with special attention to the reporting of violent events, as it is carried out by digital news outlets from the State of Chihuahua (Mexico).

Design/methodology/approach
A media observatory was established to collect and analyze the 9,115 news reports of violent events from February to June 2019 and was published by 12 digital news outlets in Chihuahua. Quantitative data analysis was carried out using three analytical axes – ethics, human rights and violence. Each axis was, in turn, subdivided into three criteria, and this paper identifies how compliant were each news outlet and individual news report with those criteria.

Findings
Data analysis established that 5,385 of the news reports (59.1 per cent of the total news analyzed) met all the nine desirable criteria, whereas other subsets did not comply with up to a minimum five criteria. How the observed news outlets and their reports complied with the criteria used is specified in this paper.

Originality/value
The methodology used and the data analyzed seek to develop ethical and socially responsible journalism. Hence, this paper offers various possibilities, such as raising new questions related to journalistic deontology, helps engage responsible journalists and also represents an area of opportunity for library and information professionals who are immersed in digital environments (e.g. digital libraries and library professionals that are the ideal professionals to store, manage and disseminate the records produced by media observatories). Moreover, the data analyzed help to set a maximum limit for the non-compliance with each of the criteria analyzed, which can even lead to the development of an ethical and social responsibility accreditation that can be granted to news outlets with the best practices for journalism.
The influence on export performance of performance ambiguity among foreign sales agents
Authors: Mysen Tore , Tronvoll Bård 
Published: January 2020

PurposeThis paper aims to examine the extent to which exporter difficulties in evaluating foreign sales agent performance affect export performance, either directly or as mediated by opportunism.Design/methodology/approachIn developing the hypotheses, the study integrates transaction cost theory and principal-agent theory. The proposed relationships between the constructs (performance ambiguity, opportunism, and export performance) are examined for a multi-industry sample of Norwegian exporters in their dealings with foreign sales agents. A survey of 410 qualified key informants yielded 101 usable questionnaires – a response rate of 24.6%. Structural equation modeling is used for data analysis and hypothesis testing.FindingsThe analysis finds support for the hypothesis that sales agent performance ambiguity relates negatively to export performance. While performance ambiguity is positively related to sales agent opportunistic behavior, opportunism does not significantly influence export performance. It seems that the adaptation costs created by the evaluation problem are of greater importance in reducing export performance than the costs created by opportunistic behavior.Research limitations/implicationsIn focusing on the core dimensions of sales agent performance in foreign markets, other factors influencing export performance are not included. The fact that small Norwegian firms dominate the sample, further limits application and generalization of the findings. Hence, results should be interpreted with caution and the study considered as investigative. Nevertheless, the results indicate to export managers and theory potentially deteriorating dimensions in the relationship between exporter and foreign independent sales agent.Originality/valueTo the best of the authors’ knowledge, this study is the first to examine how performance ambiguity and opportunistic behavior among foreign sales agents affect export performance. By concentrating on basic deteriorating dimensions, the study adds to the few that focus on inhibiting drivers of exporter – foreign–sales–agent relationships.
Beyond the “like”: customer engagement of brand fans on Facebook
Authors: Maree Tania , van Heerden G. 
Published: January 2020

Purpose
The purpose of this study is to explore customer engagement (CE) in Facebook brand communities. It clusters Facebook brand fans to establish whether an existing typology holds in a diverse sample, and examines the differences in CE between the clusters. The predictive capabilities of CE on an important brand outcome, electronic word-of-mouth (eWOM), are determined.

Design/methodology/approach
In total, 493 respondents participated in an online survey. A two-step cluster analysis was conducted to determine the fan types. ANOVA was used to assess the differences in CE between the clusters. Multiple regression determined the predictive capabilities of CE on eWOM.

Findings
This research confirms the Facebook fan typology on a more diverse sample. Significant differences exist between the fan types on CE (captivation and gratification) and CE significantly predicts eWOM.

Research limitations/implications
Future research could include motivations behind brand fan behavior. Using other CE measures may bring a different view. Theoretical perspectives other than social identity theory (SIT) may elicit other insights.

Practical implications
Insights into brand fan segments’ behavior and engagement allow brand managers to develop targeted marketing interactions. Gratification engagement is a stronger driver of eWOM, suggesting that brands should focus on marketing actions that will encourage gratification.

Originality/value
This research expands on Facebook brand fan typologies and explores CE as a multi-dimensional construct, rather than as a mere “like” action. Additionally, it determines the predictive capabilities of CE dimensions on eWOM. The findings suggest that SIT could be useful when examining CE in brand communities.
Dynamic capabilities for firm performance under the information technology governance framework
Authors: Khalil Sabine , Belitski Maksim 
Published: January 2020

PurposeThis paper aims to investigate the role of dynamic capabilities in the Information Technology (IT) Governance view framework and explores the relationship between three domains of IT governance (Strategy, Management and Operations) and firm performance.Design/methodology/approachIn this study, the authors used a mixed methods approach and using a survey instrument and its validation with interviews, to collect data from 134 successful European SMEs in the multi-country setting of Belgium, Bulgaria, Denmark, Spain and the UK.FindingsThe findings show that various IT governance mechanisms function as dynamic capabilities and are directly associated with firm performance. The impact of each mechanism is different.Originality/valueThis study highlights the relationship between IT governance acumens and organisational performance. It contributes to the field of IT Governance Framework in management, and the results may be generalisable to wider economies and different organisation types.
Corporate failure prediction models in the twenty-first century: a review
Authors: Veganzones David , Severin Eric 
Published: January 2020

Purpose
Corporate failure remains a critical financial concern, with implications for both firms and financial institutions; this paper aims to review the literature that proposes corporate failure prediction models for the twenty-first century.

Design/methodology/approach
This paper gathers information from 106 published articles that contain corporate failure prediction models. The focus of the analysis is on the elements needed to design corporate failure prediction models (definition of failure, sample approach, prediction methods, variables and evaluation metrics and performance). The in-depth review creates a synthesis of current trends, from the view of those elements.

Findings
Both consensus and divergences emerge regarding the design of corporate failure prediction models. On the one hand, authors agree about the use of bankruptcy as a definition of failure and that at least two evaluation metrics are needed to examine model performance for each class, individually and in general. On the other hand, they disagree about data collection procedures. Although several explanatory variables have been considered, all of them serve as complements for the primarily used financial information. Finally, the selection of prediction methods depends entirely on the research objective. These discrepancies suggest fundamental advances in discovery and establish valuable ideas for further research.

Originality/value
This paper reveals some caveats and provides extensive, comprehensible guidelines for corporate failure prediction, which researchers can leverage as they continue to investigate this critical financial subject. It also suggests fruitful directions to develop further experiments.
Phishing web site detection using diverse machine learning algorithms
Authors: Zamir Ammara , Khan Hikmat Ullah , Iqbal Tassawar , Yousaf Nazish , Aslam Farah , Anjum Almas , Hamdani Maryam 
Published: January 2020

Purpose
This paper aims to present a framework to detect phishing websites using stacking model. Phishing is a type of fraud to access users’ credentials. The attackers access users’ personal and sensitive information for monetary purposes. Phishing affects diverse fields, such as e-commerce, online business, banking and digital marketing, and is ordinarily carried out by sending spam emails and developing identical websites resembling the original websites. As people surf the targeted website, the phishers hijack their personal information.

Design/methodology/approach
Features of phishing data set are analysed by using feature selection techniques including information gain, gain ratio, Relief-F and recursive feature elimination (RFE) for feature selection. Two features are proposed combining the strongest and weakest attributes. Principal component analysis with diverse machine learning algorithms including (random forest [RF], neural network [NN], bagging, support vector machine, Naïve Bayes and k-nearest neighbour) is applied on proposed and remaining features. Afterwards, two stacking models: Stacking1 (RF + NN + Bagging) and Stacking2 (kNN + RF + Bagging) are applied by combining highest scoring classifiers to improve the classification accuracy.

Findings
The proposed features played an important role in improving the accuracy of all the classifiers. The results show that RFE plays an important role to remove the least important feature from the data set. Furthermore, Stacking1 (RF + NN + Bagging) outperformed all other classifiers in terms of classification accuracy to detect phishing website with 97.4% accuracy.

Originality/value
This research is novel in this regard that no previous research focusses on using feed forward NN and ensemble learners for detecting phishing websites.
An evolution simulation framework for ecological structure of crowd networks
Authors: Wang Jiwu , Sun Hongbo 
Published: January 2020

Purpose
This paper aims to obtain optimal specialization mode and level for complex network or system structures. In the e-commerce system, this paper studies the changes of each transaction subject in the process of ecological structure based on the income level of each transaction subject.

Design/methodology/approach
This paper aims to research the change of transaction efficiency evolution process of intermediaries. With the improvement of transaction efficiency, intermediaries interact with other transaction subjects at given modes in e-commerce systems. This paper analyzes the relationship between the factors of production and trade and explains the quantitative relationship between them in the form of mathematical modeling. An evolution simulation framework is established to elaborate the simulation process and method of crowd network in e-commerce ecosystem and then sets up the simulation experiment.

Findings
During simulation processes, the changes of data are observed and analyzed to obtain the optimal evolution paths and specialization modes. Furthermore, this paper provides solid supports for the research of the quantitative analysis of ecological structure evolutions.

Originality/value
Evolution simulation of ecological structure is first proposed in the topic of crowd network. It is with the aid of the concept of ecology, the theory and method, simulation of complex network structure and system structure. This paper analyses and researches the evolution process of optimal specialization modes and intelligent level of crowd networks with transaction efficiency changing. The ecological structure optimal evolution paths can be obtained by trend of simulations.
Adoption intention and usage behavior of mHealth services in Bangladesh and China
Authors: Alam Mohammad Zahedul , Hu Wang , Hoque Md Rakibul , Kaium Md Abdul 
Published: January 2020

Purpose
The purpose of this paper was to explore the comparative influential factors affecting the behavioral intention and actual usage of mHealth services in two distinct national environments, i.e. China and Bangladesh, in relation to the international expansion of mHealth services.

Design/methodology/approach
In this study, widely accepted Unified Theory of Acceptance and Use of Technology (UTAUT) with two additional variables, i.e. Perceived Reliability and Price Value have been selected as a theoretical framework. Primary data were collected from existing mHealth users among generation Y in both China and Bangladesh. A total of 296 and 250 questionnaires were deemed as usable for data analysis for Bangladesh and China, respectively.

Findings
Performance expectancy and social influence had significant impact on the adoption intention of mHealth services for both countries. Effort expectancy and price value were insignificant factors for Bangladesh, whereas facilitating condition and perceived reliability were insignificant for China.

Practical implications
The insights from this study could benefit mHealth services providers and those policymakers who seek to enter the Chinese and the Bangladeshi healthcare market. The dimensions identified in the study are based on a full assessment of mHealth usages experiences. Global service providers can use the dimensions identified by the paper to better assess their service performance on an international level.

Originality/value
The paper is unique in that it is one of the first cross-country examinations of influential factors affecting the adoption of mHealth services in two different countries. This study confirms the applicability of extended UTAUT model in the context of mHealth services among the generation Y in developing countries such as China and Bangladesh.