bluuebunny/crossref_metadata_2025_split huggingface dataset:
Specific and conserved patterns of microbiota-structuring by maize benzoxazinoids in the field
Authors: Cadot Selma , Guan Hang , Bigalke Moritz , Walser Jean-Claude , Jander Georg , Erb Matthias , van der Heijden Marcel , Schlaeppi Klaus 
Published: May 2020

ABSTRACTBackgroundPlants influence their root and rhizosphere microbial communities through the secretion of root exudates. However, how specific classes of root exudate compounds impact the assembly of these root-associated microbiotas is not well understood. Maize roots secrete benzoxazinoids (BXs), a class of indole-derived defense compounds, and thereby impact the assembly of their microbiota. Here, we investigated the broader impacts of BX exudation on root and rhizosphere microbiotas of adult maize plants grown under natural conditions at different field locations in Europe and the US. We examined the microbiotas of BX-producing and multiple BX-defective lines in two genetic backgrounds across three soil types.ResultsOur analysis showed that the secretion of BXs affected community composition of rhizosphere and root microbiota, with the most pronounced effects observed for root fungi. The impact of the two genetic backgrounds was weaker than that of the presence or absence of BXs, suggesting that BX exudation is a key trait by which maize structures its associated microbiota. BX-producing plants were not consistently enriching microbial lineages across the three soil types. Instead, BX exudation consistently depletedFlavobacteriaceaeandComamonadaceae, and enriched various plant pathogenic fungi in the roots.ConclusionsThese findings reveal that BXs have a selective impact on root and rhizosphere microbiota composition across different field locations. Taken together, this study identifies the BX pathway as an interesting breeding target to manipulate plant-microbiome interactions.
PhenomNet: Bridging Phenotype-Genotype Gap: A CNN-LSTM Based Automatic Plant Root Anatomization System
Authors: Yasrab Robail , Pound Michael P , French Andrew P , Pridmore Tony P 
Published: May 2020

AbstractThis research will explore the phenotype-genotype gap by bringing two very diverse technologies together to predict plant characteristics. Currently, there are several studies and tools available for plant phenotype and genotype analysis. However, there is no existing single system that offers both capabilities in one package. Usually, Convolution Neural Networks used for plant phenotyping analysis and Recurrent Neural Networks used for genotype analysis. Both of these machine leanring methods require different input data for feature extraction, analysis and learning. Building a machine learning system for plant data that can make use of both graphic (for phenotype) and time-series (for genotype) is critical and challenging, especially when the system has to predict sensitive information regarding plant growth, accession and types. In this study, the proposed system will solve these problems by bringing two very different technologies, analysis methods and datasets. The proposed research aims to bridge the phenotype-genotype gap using CNN-LSTMs to process graphic and temporal data of plant roots. The proposed system “PhenomNet” offers segmentation of plant roots along with the classification of the given dataset into different accessions. The experiment results have shown that proposed CNN-LSTM architecture provides very high accuracy in comparison to manual or semi-automated approaches.
Lateral autonomous carrier-landing control with high-dimension landing risks consideration
Authors: Wang Lipeng , Zhang Zhi , Zhu Qidan , Jiang Xingwei 
Published: May 2020

PurposeThis paper aims to propose a novel model predictive control (MPC) with time varying weights to develop a lateral control law in an automatic carrier landing system (ACLS), which minimizes landing risk and improves flight quality.Design/methodology/approachFirst, a nonlinear mathematic model of an F/A-18 aircraft during lateral landing is established. Then the landing model is linearized in the form of state deviations on the equilibrium points. Second, landing risk windows are proposed and a high-dimensional landing risk model is addressed through a back propagation (BP) neural network. The trained samples are acquired based on a pilot behavior model. Third, time varying weights created from the lateral landing risk are introduced into the performance function of MPC. Optimal solution is solved quicker and some state deviations are focused on and eliminated. Fourth, the algebraic inequalities are substituted by the linear matrix inequalities (LMIs), which are easily calculated by the computers.FindingsOn a semi-physical platform, the proposed method compares with a traditional MPC algorithm and a modified MPC with an additional term. The test results indicate that the proposed algorithm brings about an excellent landing performance as well as an ability of eliminating landing risk.Practical implicationsThe landing phase of a carrier-based aircraft is one of the most dangerous and complicated stages, and the algorithm proposed by this paper plays a vital role in the lateral landing.Originality/valueThis paper establishes a lateral landing risk model, which considers not only the current landing state but also the future touchdown point. This lateral landing risk is integrated into the time varying weights of the MPC algorithm so that the state deviations and landing risk can be both reduced in the rolling optimization.
Online customer-to-customer interactions, customer–firm affection, firm-loyalty and participation intention
Authors: Choi Beomjoon , Kim Hyun Sik 
Published: May 2020

PurposeThis study aims to investigate the impact of three types of online customer-to-customer interaction qualities on customers' participation intention through customer–firm affection in online mass service contexts to address the influence of several types of intercustomer interactions.Design/methodology/approachThe data were amassed using retrospective experience sampling. The hypothesized relationships were examined utilizing structural equation modeling.FindingsThe results demonstrate that the perceived quality of the friend-interaction (e.g. [non-]verbal online interaction with friends), neighboring customer-interaction (e.g. [non-]verbal online interaction with stranger users) and the audience-interaction (crowding) has a significant impact upon customer participation intention, mediated by customer–firm affection.Research limitations/implicationsThis research was performed in the situation of online mass services (e.g. massively multiplayer online role-playing games). Future studies could extend the findings by conducting further studies across various types of services and by comparing results across different categories of mass services (e.g. hedonic vs utilitarian).Practical implicationsOnline mass service marketers should focus on facilitating all three types of online customer-to-customer interactions (i.e. friend-, neighboring customer-, and audience-interaction). For example, online game developers may need to require users to communicate and collaborate with not only friends but also stranger users to progress and succeed in online multiplayer games.Originality/valueThe current study differs from prior research by addressing the influences of not only online intercustomer interaction qualities but also customer–firm affection on customer participation intention.
Facilitators and barriers to developing firefighter resilience
Authors: Conway Rebecca Rose , Waring Sara 
Published: May 2020

PurposeDeveloping resilience is vital for firefighters and other practitioners exposed to trauma as part of their day-to-day work in maintaining physical and mental resilience. However, further understanding of what factors facilitate and hinder the development of firefighter resilience and why is needed. The current study evaluates efficacy of support mechanisms currently in place and develops an evidence base for interventions to support development of firefighter resilience.Design/methodology/approachSemi-structured interviews were conducted with 12 firefighters from across two regions in the United Kingdom, the Northwest and Southeast of England. Thematic analysis was used to analyse transcripts, highlighting themes within, and across, services to identify what factors affect development of firefighter resilience and why.FindingsThematic analysis highlighted four key themes shared by firefighters across regions: “informal support”, “formal support”, “basic welfare measures” and “trust”. Importantly, how effective formal measures are perceived to be and the willingness for firefighters to access these resources was dependent upon the level of trust held in senior management. Firefighters across locations highlighted levels of trust were affected by industrial actions which created divides. Accordingly, one way firefighter resilience may be further promoted is by altering how formal support mechanisms are accessed.Originality/valueAlthough existing research has found factors which promote resilience of firefighters, evaluation of specific services is lacking. The current research highlights areas among two UK services where resilience is effectively being promoted and areas for potential improvement.
The impact of board diversity and voluntary risk disclosure on financial outcomes. A case for the manufacturing industry
Authors: Reguera-Alvarado Nuria , Bravo-Urquiza Francisco 
Published: May 2020

Purpose
The purpose of this paper is to analyse how board diversity affects firm financial outcomes through the way in which this diversity helps to improve voluntary disclosures.

Design/methodology/approach
The partial least squares (PLS) technique is used, and a sample of the manufacturing firms listed in Standard and Poor’s 500 for 2009 is studied. In relation to board diversity, two specific characteristics are considered, namely, gender diversity and ethnic diversity. Content analysis techniques are used to measure risk disclosures.

Findings
The results show that there is a positive association between board diversity and firms’ financial outcomes, which is explained by disclosing risk information.

Research limitations/implications
The results indicate that the effect of boards of directors on firm outcoumes is influenced by the board involvement in specific strategies, thereby providing encouraging opportunities for future research.

Practical implications
These findings have implications both for companies, when selecting board members, and for policymakers, when establishing requirements concerning board composition. Moreover, the evidence highlights the role of disseminating risk information, which has direct implications for managers and regulators, who may better understand the value-relevance of risk disclosures.

Originality/value
The use of PLS technique is one of the novelties of this paper. The novelty of this approach provides fresh insights into the literature, highlighting that the effect of boards on firm outcomes may be mediated by director involvement in specific disclosure strategies.
Utilizing a privacy impact assessment method using metrics in the healthcare sector
Authors: Makri Eleni-Laskarina , Georgiopoulou Zafeiroula , Lambrinoudakis Costas 
Published: May 2020

Purpose
This study aims to assist organizations to protect the privacy of their users and the security of the data that they store and process. Users may be the customers of the organization (people using the offered services) or the employees (users who operate the systems of the organization). To be more specific, this paper proposes a privacy impact assessment (PIA) method that explicitly takes into account the organizational characteristics and employs a list of well-defined metrics as input, demonstrating its applicability to two hospital information systems with different characteristics.

Design/methodology/approach
This paper presents a PIA method that employs metrics and takes into account the peculiarities and other characteristics of the organization. The applicability of the method has been demonstrated on two Hospital Information Systems with different characteristics. The aim is to assist the organizations to estimate the criticality of potential privacy breaches and, thus, to select the appropriate security measures for the protection of the data that they collect, process and store.

Findings
The results of the proposed PIA method highlight the criticality of each privacy principle for every data set maintained by the organization. The method employed for the calculation of the criticality level, takes into account the consequences that the organization may experience in case of a security or privacy violation incident on a specific data set, the weighting of each privacy principle and the unique characteristics of each organization. So, the results of the proposed PIA method offer a strong indication of the security measures and privacy enforcement mechanisms that the organization should adopt to effectively protect its data.

Originality/value
The novelty of the method is that it handles security and privacy requirements simultaneously, as it uses the results of risk analysis together with those of a PIA. A further novelty of the method is that it introduces metrics for the quantification of the requirements and also that it takes into account the specific characteristics of the organization.
Transformative interaction capability: the mediating role between quality of work life and teamwork performance
Authors: Qamari Ika Nurul , Ferdinand Augusty Tae , Dwiatmadja Christantius , Yuniawan Ahyar 
Published: May 2020

Purpose
This paper aims to present a conceptual model of transformative interaction capability (TIC) to fill the research gap between the quality of work–life (QWL) and teamwork performance (TP). Statistical testing in the study used four variables, namely, QWL, TIC, team resilience (TR) and TP.

Design/methodology/approach
A conceptual model was developed and empirically tested through a survey. The 240 respondents in this study were made of supervisors, managers, directors and strategic staffs who were a part of new product development teams in service business companies. Note that there were banking, printing, publishing, training, financial institutions, outsourcing, projects and event organizing companies involved in this research. These companies were based in the Special Region of Yogyakarta and Province of Central Java Indonesia.

Findings
The research adapted the time interaction performance (TIP) theory, a theory of groups. It revealed that TIC was inserted in the research model. It was to mediate the influence of QWL on TP. Furthermore, the Sobel test results showed that TIC was a mediator of QWL and TP and was pertinent in improving TP.

Research limitations/implications
The three limitations of this study are as follows: first, the survey was conducted only in the service business industry in the Special Region of Yogyakarta and Province of Central Java, Indonesia; second, as this study focuses on TIC as the main mediator, it does not consider variables from other theories such as dominant logic service theory and social exchange theory; third, this research survey only captures the perception of the team.

Practical implications
From a practical perspective, the relationship between QWL, TIC and TP provides clues about how companies can pursue QWL to encourage TIC, which, in turn, affect TR and improve TP.

Originality/value
Using a theory of the TIP approach and theory of groups, the study proposing the concept of TIC can potentially improve TP.
Research trends in quality management in years 2000-2019
Authors: Wawak Sławomir , Rogala Piotr , Dahlgaard-Park Su Mi 
Published: May 2020

PurposeThis study aims to demonstrate the suitability of text-mining toolset for the discovery of trends in quality management (QM) literature in 2000-2019. The hypothesis was formulated that as the field of study is mature, the most important trends are related to deepening and broadening of the knowledge.Design/methodology/approachA novel approach to trend discovery was proposed. The computer-aided analysis of full-texts of papers led to increased reliability and level of detail of the achieved results and helped significantly reduce researchers’ bias. Overall, 4,833 papers from 8 journal dedicated to QM were analysed.FindingsTrends discovery led to the identification of 45 trends: 17 long-lasting trends, 4 declining trends, 11 emerging trends and 13 ephemeris trends. They were compared to the results of earlier studies. New trends and potential gaps were discussed.Practical implicationsThe results highlight the trends that gain or lose popularity, thus they can be used to focus studies, as well as find new subjects, which are not so popular yet. The knowledge about emerging trends is also important for those quality managers who strive for improvement of their efficiency.Originality/valueThe research was designed to bypass the limitations of previous studies. The use of text mining methods and analysis of full texts of papers delivered more detailed and reliable data. Resignation from predefinition of classification criteria significantly reduced researchers’ bias and allowed the discovery of new trends, not identified in previous studies.
Utilization of a forensic accountant to investigate financial exploitation of older adults
Authors: Dauenhauer Jason , Heffernan Kristin , Webber Karen , Smoker Kari , Caccamise Paul , Granata Allison 
Published: May 2020

Purpose
The purpose of this paper is to describe the results of an online program evaluation survey conducted in the USA in 2018 which was designed to understand how members of an enhanced multidisciplinary team (E-MDT) use the expertise of a forensic accountant (FA) in suspected cases of elder financial exploitation.

Design/methodology/approach
This paper analyzes responses to an online survey from 54 E-MDT members. Narrative responses to open-ended questions were analyzed by using cross-case thematic analysis. Data from demographic questions and those with nominal response options were analyzed using descriptive statistics.

Findings
Overwhelmingly, the E-MDT members described how useful the FA’s expertise and subsequent detailed reports are in helping determine whether financial exploitation is taking place and providing information needed to continue an investigation and pursue criminal charges.

Practical implications
The increasing longevity and sheer number of older adults present ongoing challenges in the fight to address financial exploitation. Findings suggest that FAs working with E-MDTs can help identify signs, collect evidence and help investigate cases of suspected financial abuse of older adults. The development of training programs focused on educating accountants to fill a need in a growing area of forensic accounting may be needed.

Originality/value
This paper adds to the growing evidence of multidisciplinary teams as an effective model for investigating cases of financial elder exploitation by focusing specifically on the expertise of an FA.
A comparative approach of stochastic frontier analysis and data envelopment analysis estimators: evidence from banking system
Authors: Sakouvogui Kekoura 
Published: May 2020

PurposeThe consistency of stochastic frontier analysis (SFA) and data envelopment analysis (DEA) cost efficiency measures using a sample of 650 commercial and domestic banks in the United States is investigated based on cluster analysis while accounting for the yearly variation in banks.Design/methodology/approachDue to the importance of efficiency measures for policy and managerial decision-making, the cost efficiency measures of SFA and DEA estimators are examined according to four criteria: levels, rankings, stability over time and stability over clustering groups. In this paper, we present two clustering methods, Gap Statistic and Dindex, that involve SFA and DEA cost efficiency measures. The clustering approach creates homogeneous groups of banks offering a similar mix of efficiency levels. Hence, each evaluated bank knows the cluster to which it belongs. Furthermore, this paper provides nonparametric statistical tests of SFA and DEA cost efficiency measures estimated with and without a clustering approach.FindingsThe results suggest that the clustering approach plays a considerable role in the rankings of US banks. Furthermore, the average SFA and DEA cost efficiency measures over time of the homogeneous US banks are substantially higher than those of the heterogeneous US banks.Originality/valueThis research is the first to provide comparative efficiency measures needed for desirable policy conclusions of heterogeneous and homogeneous US banks.
Confirming the links between socio-economic variables and digitalization worldwide: the unsettled debate on digital divide
Authors: Mubarak Farooq , Suomi Reima , Kantola Satu-Päivi 
Published: May 2020

Purpose
This study aims to statistically verify the links of income and education with information and communication technology (ICT) diffusion across 191 countries of the world taking into account a total of 9 indicators best representing the socio-economic variables.

Design/methodology/approach
Multivariate regression analysis was used as a prime method to rigorously test the relationships of income and education with ICT diffusion across 191 countries. Statistical Package for the Social Sciences (V. 22) was used to analyze and predict patterns in the data.

Findings
The results support the hypotheses that income and education are positively related to ICT diffusion. The findings statistically confirm that poverty is a leading cause of digital divide worldwide.

Research limitations/implications
Academic, policy and practice groups should work in collaboration to fight against digital divide. Present results also imply that digital divide shall never end but rather it can be controlled to an extent with multiple collaborative efforts.

Originality/value
Prior research assignments on the digital divide concentrate on exploring the links between few socio-economic and ICT variables in select few regions theoretically. The present work addresses this literature gap by developing and testing two hypotheses to statistically investigate the relationships between a broad set of socio-economic and ICT indicators.