bluuebunny/crossref_metadata_2025_split huggingface dataset:
Remodeling of the maternal gut microbiome during pregnancy is shaped by parity
Authors: Berry Alexander SF , Pierdon Meghann K , Misic Ana M. , Sullivan Megan C. , O’Brien Kevin , Chen Ying , Baldassano Robert N , Parsons Thomas D , Beiting Daniel P 
Published: December 2020

AbstractBackgroundThe maternal microbiome has emerged as an important factor in gestational health and outcome and is associated with risk of preterm birth and offspring morbidity. Epidemiological evidence also points to successive pregnancies – referred to as maternal parity – as a risk factor for preterm birth, infant mortality, and impaired neonatal growth. Despite the fact that both the maternal microbiome and parity are linked to maternal-infant health, the impact of parity on the microbiome remains largely unexplored, in part due to the challenges of studying parity in humans.ResultsUsing synchronized pregnancies and dense longitudinal monitoring of the microbiome in pigs, we describe a microbiome trajectory during pregnancy and determine the extent to which parity modulates this trajectory. We show that the microbiome changes reproducibly during gestation and that this remodeling occurs more rapidly as parity increases. At the time of parturition, parity was linked to the relative abundance of several bacterial species, includingTreponema bryantii, Lactobacillus amylovorus, andLactobacillus reuteri. Strain tracking carried out in 18 maternal-offspring ‘quadrads’ – each consisting of one mother sow and three piglets – linked maternal parity to altered levels ofAkkermansia muciniphila, Prevotella stercorea, andCampylobacter coliin the infant gut 10 days after birth.ConclusionsCollectively, these results identify parity as an important environmental factor that modulates the gut microbiome during pregnancy and highlight the utility of a swine model for investigating the microbiome in maternal-infant health. In addition, our data show that the impact of parity extends beyond the mother and is associated with alterations in the community of bacteria that colonize the offspring gut early in life. The bacterial species we identified as parity-associated in the mother and offspring have been shown to influence host metabolism in other systems, raising the possibility that such changes may influence host nutrient acquisition or utilization. These findings, taken together with our observation that even subtle differences in parity are associated with microbiome changes, underscore the importance of considering parity in the design and analysis of human microbiome studies during pregnancy and in infants.
Are you a good borrower? Mining interpretable pattern structures in credit scoring
Authors: Kuznetsov Sergei O. , Masyutin Alexey , Ageev Aleksandr 
Published: December 2020

Purpose
The purpose of this study is to show that closure-based classification and regression models provide both high accuracy and interpretability.

Design/methodology/approach
Pattern structures allow one to approach the knowledge extraction problem in case of partially ordered descriptions. They provide a way to apply techniques based on closed descriptions to non-binary data. To provide scalability of the approach, the author introduced a lazy (query-based) classification algorithm.

Findings
The experiments support the hypothesis that closure-based classification and regression allow one to both achieve higher accuracy in scoring models as compared to results obtained with classical banking models and retain interpretability of model results, whereas black-box methods grant better accuracy for the cost of losing interpretability.

Originality/value
This is an original research showing the advantage of closure-based classification and regression models in the banking sphere.
Measuring semantic distances using linked open data and its application on music recommender systems
Authors: Yang Hsin-Chang , Lee Chung-Hong , Liao Wen-Sheng 
Published: December 2020

PurposeMeasuring the similarity between two resources is considered difficult due to a lack of reliable information and a wide variety of available information regarding the resources. Many approaches have been devised to tackle such difficulty. Although content-based approaches, which adopted resource-related data in comparing resources, played a major role in similarity measurement methodology, the lack of semantic insight on the data may leave these approaches imperfect. The purpose of this paper is to incorporate data semantics into the measuring process.Design/methodology/approachThe emerged linked open data (LOD) provide a practical solution to tackle such difficulty. Common methodologies consuming LOD mainly focused on using link attributes that provide some sort of semantic relations between data. In this work, methods for measuring semantic distances between resources using information gathered from LOD were proposed. Such distances were then applied to music recommendation, focusing on the effect of various weight and level settings.FindingsThis work conducted experiments using the MusicBrainz dataset and evaluated the proposed schemes for the plausibility of LOD on music recommendation. The experimental result shows that the proposed methods electively improved classic approaches for both linked data semantic distance (LDSD) and PathSim methods by 47 and 9.7%, respectively.Originality/valueThe main contribution of this work is to develop novel schemes for incorporating knowledge from LOD. Two types of knowledge, namely attribute and path, were derived and incorporated into similarity measurements. Such knowledge may reflect the relationships between resources in a semantic manner since the links in LOD carry much semantic information regarding connecting resources.
It’s a question of talent! The interplay of design complexity and talent information on consumers’ product design responses
Authors: Grein Marcel , Wiecek Annika , Wentzel Daniel 
Published: December 2020

PurposeExisting research on product design has found that a design’s complexity is an important antecedent of consumers’ aesthetic and behavioural responses. This paper aims to shed new light on the relationship between design complexity and perceptions of design quality by taking the effects of consumers’ naïve theories into account.Design/methodology/approachThe hypotheses of this paper are tested in a series of three experiments.FindingsThe findings from three studies show that the extent to which consumers prefer more complex product designs to simpler ones depends on the extent to which they believe that the complexity of a design is indicative of the effort or of the talent of the designers involved in the design process. These competing naïve theories, in turn, are triggered by contextual information that consumers have at their disposal, such as the professional background of a designer or the brand that is associated with a particular design.Research limitations/implicationsThis research was limited to a design's complexity as the central design element and to the effects of two naïve theories. Future research may also take other design factors and consumer heuristics into account.Practical implicationsThis research reveals that the extent to which managers may successfully introduce both complex and simple designs may depend on the reputation of a company’s designers and the prestige of a brand.Originality/valueThis research examines design complexity from a novel theoretical perspective and shows that the effect of design complexity on perceptions of design quality is contingent on two specific naïve theories of consumers.
A review of antecedents of employee turnover in the hospitality industry on individual, team and organizational levels
Authors: Han Jung Woo 
Published: December 2020

PurposeThe article is to review recent literature studies of employee turnover to identify antecedents of employee turnover in the hospitality sector to reduce the literature gaps and present a wider scope of turnover factor and understanding of employee motivational factors in their job decision.Design/methodology/approachThe recent literature studies published over the last two decades were reviewed and structured into the three levels of employee turnover factors, including individual, team and organizational level.FindingsThe antecedents on organizational levels were frequently studied and suggested as strong predictors to employee turnover in the hospitality sectors. The team and organizational factors also influence employee turnover, yet the factors on the team level may not have a significant direct impact but rather an indirect impact through the organizational or individual level. The factors of the individual level may not explain the fundamental reasons behind the turnover. Yet, it might be a more reliable predictor of employee turnover as factors on the other levels are often mediated by individual factors.Originality/valueThe article contributes to the knowledge base by articulating a wide range of updated employee turnover factors in the hospitality that brings an updated insight into employee motivational factors in the hospitality sector.
Transcending adversity: resilience in volunteer firefighters
Authors: Blaney Leigh McCarley , Wilde David , Hill Rowena 
Published: December 2020

PurposeThe purpose of this paper is to present a theory of psychological resilience in volunteer firefighters.Design/methodology/approachUsing a constructivist grounded theory (CGT) approach, the qualitative study engaged a purposive sample of eight firefighters in Canada, conducted in-depth interviews and analysed the data using comparative methods.FindingsThe results provided unique insights into resilience in firefighters and revealing resilience as multidimensional, complex, dynamic and contextual. Six core concepts interrelate to construct resilience: relationships, personal resources, meaning-making, leadership, culture and knowledge.Practical implicationsThe findings of this research offer a framework for practical integration of resilience theory into workplace health policy and practice. The theory was co-created with firefighters hence is contextually sound to this population, but applicable to other emergency and health services.Originality/valueVolunteer firefighters are under-represented in the literature, despite facing intermittent and frequently intense work-related stressors; this research begins to address the gap in the literature. As well, previous resilience theories have noted relationships between some components, but there is little evidence linking categories; this theory more patently represents the complex nature of resilience in volunteer firefighters.
Indigenous context of vertigo: translation and validation of dizziness handicap inventory for diagnosis and evaluation of patients in Pakistani hospitals
Authors: Ahmed Ammar , Aqeel Muhammad , Chughtai Naeem Aslam 
Published: December 2020

PurposeThe purpose of this paper is to focus on the indigenous need for public health challenges being faced by the patients in Pakistan because of vertigo symptoms. Vertigo or benign paroxysmal positional vertigo is described as short episodes of dizziness (spinning sensations) that are caused because of movements of head in varying directions. Various published accounts have linked vertigo to psychological and psychiatric symptoms, which include stress, anxiety and depression. The aim of present study is to examine the validity and reliability of Dizziness Handicap Inventory (DHI) Urdu version that is vital in the diagnosis, evaluation and treatment of patients coming in hospitals.Design/methodology/approachThis present study included two segments, namely, preliminary and main study. Preliminary study results indicated that the overall scale had high internal consistency of DHI Urdu versionα= 0.95. The overall scale retained a high test-retest correlation tested over a period of 15 days (r =0.93). Main study was performed on 222 vestibulocochlear disorder patients having chief complaints of tinnitus and vertigo, age ranged from 18 to 89 (M = 46.14; SD = 16.64) and recruited from various hospitals of Islamabad and Rawalpindi, Pakistan. Purposive sampling technique was applied based on cross-sectional design.FindingsSignificant correlations were noted between dizziness symptoms rating on the translated scale. Confirmatory factor analysis was used to determine the structure of the scales; an orthogonal rotation (Varimax) was conducted on the data collected from patients. A three-factor solution was obtained for DHI, the factors obtained were associated to the subscales vestibular handicap, vestibular disability and visuo-vestibular disability, demonstrating a strong factorial validity in the Pakistani cultural context.Originality/valueVertigo is a symptom that initiates various psychological issues among vestibulocochlear disorder patients (patients having ear related problems) around the world and therefore the investigated inventory offers an initial assessment for the severity of dizziness. Current research will help in the development of indigenous measures to ascertain the severity of the symptoms triggering various other mental health-related issues.
Does Sharia compliance affect financial reporting quality? An evidence from Muslim majority countries
Authors: Can Gökberk 
Published: December 2020

Purpose
Sharia compliance states that the compliant company operates not only under regulations but also to the restrictions and permission of Islam. This study aims to reveal whether Sharia compliance enhances the financial reporting quality.

Design/methodology/approach
The sample is constructed from 15 Muslim majority countries, 2,300 companies for the periods between 2005 and 2017 with 23,810 firm*year observations. Financial reporting quality is measured with discretionary accruals and audit aggressiveness. Discretionary accruals is the absolute of Kothari, Leone and Wasley’s (2005) “performance matched discretionary accruals model.” Audit aggressiveness is calculated with Gul, Wu and Yang’s (2013) model.

Findings
This study reveals the behavioral differences in financial reporting quality between Sharia-compliant and non-compliant companies. According to the analyzes, Sharia compliance increases the financial reporting quality by decreasing the discretionary accruals and audit aggressiveness. This result is supported by the robustness tests.

Practical implications
Sharia compliance is not limited to business activity, financial restrictions and supervisory board for Sharia-compliant companies. It also enhances the companies’ financial reporting quality. Robustness analysis also showed that the International Financial Reporting Standards (IFRS) increases the financial reporting quality by reducing discretionary accruals and audit aggressiveness.

Originality/value
This study contributes to the accounting literature by providing an insight on the use of Islamic financial instruments. The empirical results also show that the use of IFRS and Islamic financial instruments decreases the discretionary accruals and audit aggressiveness.
Strengthening digital collaboration to enhance social innovation capital: an analysis of Italian small innovative enterprises
Authors: Chierici Roberto , Tortora Debora , Del Giudice Manlio , Quacquarelli Barbara 
Published: December 2020

PurposeThe study aims to investigate whether and how digital transformation, in terms of digital collaboration, joint efforts with internal/external partners to achieve common goals and the adoption of digital tools supporting this practice, affect social innovation capital in the context of small innovative enterprises (SIEs).Design/methodology/approachThe research hypotheses derived from the analysis of the literature, evaluating how sharing resources, sharing intensity and digital patterns affect the collective capacity of SIEs to innovate, were investigated by applying multiple regression analysis. Data were retrieved from a sample of Italian SIEs through an online survey.FindingsThe main findings suggest that the propensity to spread resources and the sharing intensity positively affect the collective capacity of SIEs to innovate. Also, the effect of resources sharing on collective innovation increases as more digital patterns are used as tools. The connection is weaker for the intensity of resources sharing.Research limitations/implicationsThe study is conducted on Italian SIEs, a particular cluster of small and medium enterprises (SMEs). It would be interesting to compare and contrast the results of an analysis of a large sample of international companies, of different sizes and belonging to digital and non-digital sectors.Originality/valueThe results enrich the existing literature on social innovation capital, by clarifying its competitive benefits on the characteristic context of the SIEs and underlining the mediating role of the digital patterns.
Valuation of initial margin using bootstrap method
Authors: Seitshiro Modisane Bennett , Mashele Hopolang Phillip 
Published: December 2020

Purpose
The purpose of this paper is to propose the parametric bootstrap method for valuation of over-the-counter derivative (OTCD) initial margin (IM) in the financial market with low outstanding notional amounts. That is, an aggregate outstanding gross notional amount of OTC derivative instruments not exceeding R20bn.

Design/methodology/approach
The OTCD market is assumed to have a Gaussian probability distribution with the mean and standard deviation parameters. The bootstrap value at risk model is applied as a risk measure that generates bootstrap initial margins (BIM).

Findings
The proposed parametric bootstrap method is in favour of the BIM amounts for the simulated and real data sets. These BIM amounts are reasonably exceeding the IM amounts whenever the significance level increases.

Research limitations/implications
This paper only assumed that the OTCD returns only come from a normal probability distribution.

Practical implications
The OTCD IM requirement in respect to transactions done by counterparties may affect the entire financial market participants under uncleared OTCD, while reducing systemic risk. Thus, reducing spillover effects by ensuring that collateral (IM) is available to offset losses caused by the default of a OTCDs counterparty.

Originality/value
This paper contributes to the literature by presenting a valuation of IM for the financial market with low outstanding notional amounts by using the parametric bootstrap method.
A systematic literature review of data science, data analytics and machine learning applied to healthcare engineering systems
Authors: Salazar-Reyna Roberto , Gonzalez-Aleu Fernando , Granda-Gutierrez Edgar M.A. , Diaz-Ramirez Jenny , Garza-Reyes Jose Arturo , Kumar Anil 
Published: December 2020

PurposeThe objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems.Design/methodology/approachA systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors and content.FindingsFrom the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field.Research limitations/implicationsThe use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors' previous knowledge and the nature of the publications were used to select different platforms.Originality/valueTo the best of the authors' knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining and machine learning applied to healthcare engineering systems.
Application of complex network theory in identifying critical elements of CRH2 train system
Authors: Zhang Huiru , Jia Limin , Wang Li , Qin Yong 
Published: December 2020

Purpose
Based on complex network theory, a method for critical elements identification of China Railway High-speed 2 (CRH2) train system is introduced in this paper.

Design/methodology/approach
First, two methods, reliability theory and complex theory, are introduced, and the advantages and disadvantages for their application in identifying critical elements of high-speed train system are summarized. Second, a multi-layer multi-granularity network model including virtual and actual nodes is proposed, and the corresponding fusion rules for the same nodes in different layers are given.

Findings
Finally, taking CRH2 train system as an example, the critical elements are identified by using complex network theory, which provides a reference for train operation and maintenance.

Originality/value
A method of identifying key elements of CRH2 train system based on integrated importance indices is introduced, which is a meaningful extension of the application of complex network theory to identify key components.
Come on, network! Empowering employees to use Web-based interorganizational learning platforms in research and development
Authors: Reichenbach Rebecca , Eberl Christoph , Lindenmeier Jörg 
Published: December 2020

PurposeAn interorganizational learning (IOL) Web-based platform provides an ambidextrous working area, where employees can switch between exploration and exploitation-related activities. This study aims to present new indications on how to increase the acceptance and use of Web-based platforms for IOL. Specifically, it proposes how acceptance rates can be increased by focusing on the key mechanisms in Web-based platforms that are important from the users’ perspective.Design/methodology/approachSurvey data were collected from employees in universities, companies, government agencies and research and technological development performers. Data analysis applies a multi-group analysis (MGA) based on the partial least squares structural equation modeling.FindingsPerformance expectancy is important in explorative, exploitative and ambidextrous organizations. Moreover, effort expectancy is an important driver of platform acceptance in explorative organizations, facilitating conditions in exploitative organizations and hedonic motivation in ambidextrous organizations.Originality/valueThis study contributes to the IOL literature by analyzing specific acceptance characteristics of potential users of a Web-based IOL platform for research and development. As the first paper published in this research context, it explicitly considers explorative, exploitative and ambidextrous organizations based on interactive and integrative interorganizational ambidexterity.