Phospholipid fatty acid biomarkers in a freshwater periphyton community exposed to uranium: discovery by non-linear statistical learning

Webb-Robertson, Bobbie-Jo M.; Bunn, Amoret L.; Bailey, Vanessa

doi:10.1016/j.jenvrad.2010.09.005

Cited by 9 publications

(4 citation statements)

References 42 publications

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“…The results of this analysis revealed that 13 items were classified in a manner consistent with Anderson and Gerbing (1988), Netemeyer et al (2003) and Webb-Robertson et al (2011). These results provided support for the proposed dimensionality of the constructs suggested by Anderson and Gerbing (1988), Netemeyer et al (2003) and Webb-Robertson et al (2011).…”

Section: Scale Developmentsupporting

confidence: 59%

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Factor analysis-validated comprehensive employee job performance scale

Na-Nan

Chaiprasit

Pukkeeree

2018

IJQRM

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Purpose The purpose of this paper is to develop an employee job performance (EJP) scale questionnaire that encompasses the job time, job quality and job quantity dimensions of employee performance. Design/methodology/approach In this study, the questionnaire questions were first validated using exploratory factor analysis (EFA) and then confirmatory factor analysis (CFA) along the three performance dimensions. The research samples were auto-parts assembly line workers. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by the composite reliability (CR) and the average variance extracted (AVE). Findings The questionnaire questions identified three factors of EJP, namely, job time, job quality and job quantity, with 13 items. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by a CR of 0.894 and AVE of 0.739, in addition to χ2=63.340, df=54, p=0.180, goodness of fit index=0.976, adjusted goodness of fit index=0.960, RMSEA=0.021 and root mean square residue=0.014. Research limitations/implications The EJP scale questionnaire was examined using only EFA and CFA. These scales are expected to help academics, researchers and practitioners test theories. Because of the features of the sample, the final results should be considered carefully. Practical implications Importantly, the factor analysis results suggest that the proposed EJP scale questionnaire can be applied to various industries and settings either as is or with minimal modifications. Originality/value The EJP questionnaire is novel and can serve as an excellent EJP tool to measure employees’ behavioral output. The questionnaire can provide empirical data on employee performance output based on the employee’s perspective.

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Section: Scale Developmentsupporting

confidence: 59%

“…To determine whether the items were categorized according to Anderson and Gerbing (1988), Netemeyer et al (2003) and Webb-Robertson et al (2011), an analysis of variance was conducted. First, the mean score for all items on each of the job time, job quality and job quantity scales was calculated.…”

Section: Scale Developmentmentioning

confidence: 99%

Factor analysis-validated comprehensive employee job performance scale

Na-Nan

Chaiprasit

Pukkeeree

2018

IJQRM

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“…Although the initial analysis of the data using standard linear (multiple linear discriminant analysis) statistical tools gives some preliminary information, it failed to reveal clear biological patterns. The error rates found in the RF model, lower than the error rates found in previous applied LDA model, confirmed that nonlinear statistical learning methods, such as RF, can more accurately find patterns related to PAH exposure in soil microbial community, in accordance with Webb‐Robertson et al (2011). Moreover, a particularly attractive feature of RF is that it generates an estimate of which variables are important for the classification and offers the possibility of selecting only a subset that is statistically optimal.…”

Section: Discussionsupporting

confidence: 81%

Investigating natural attenuation of PAHs by soil microbial communities: insights by a machine learning approach

Picariello

Baldantoni

Nicola

2022

Restoration Ecology

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Polycyclic aromatic hydrocarbons (PAHs) due to "long-range atmospheric transport" can reach forest soil in areas far from anthropogenic activities. Information on microorganisms able to metabolize different PAHs helps in developing bioremediation strategies. We focused on the degradation of different molecular weight PAHs (phenanthrene, pyrene, and benzo[a]pyrene) in a biological natural attenuation process. Data on microbial biomass, growth, and enzyme activities, monitored along 360 days in mesocosms with forest soils (holm oak, black pine, and beech) artificially contaminated with the three PAHs, were analyzed by machine learning techniques, a powerful and novel approach in soil microbial ecology, still scantly employed. Nonlinear statistical learning methods (random forests) and linear-based classifiers (linear discriminant analysis) were applied to identify which variables were able to separate distinct groups, independently from time. Random forest was also applied to evaluate the importance of each variable in determining the PAH degradation. Nonlinear statistical learning methods more accurately found patterns related to PAH exposure in soil microbial community than the linear-based classifier. The role of fungi and their related enzymatic activities, laccase in holm oak and peroxidase in beech soil, in phenanthrene and pyrene degradation has been identified, suggesting the importance of myco-remediation in contaminated-site restoration.

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“…Analyses of transcript fluctuations (mRNAs and miRNAs) in kidney cells might provide information about the parent molecular events driving the metabolic outcomes. For contaminated kidneys of males, analysis of RNA expression identified a set of differentially expressed transcripts linked to cell signaling, cell structure, developmental processes, cell proliferation, transport, apoptosis, inflammation, and the metabolism of fatty acids, which NU can target, as previously observed in other studies of uranium as a cell stressor (Sano et al 2000;Dublineau et al 2007;Webb-Robertson et al 2011).…”

Section: Discussionmentioning

confidence: 56%