pls modeling
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Toxics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 324
Author(s):  
Kelsey Ha ◽  
Pu Xia ◽  
Doug Crump ◽  
Amandeep Saini ◽  
Tom Harner ◽  
...  

Assessing complex environmental mixtures and their effects is challenging. In this study, we evaluate the utility of an avian in vitro screening approach to determine the effects of passive air sampler extracts collected from different global megacities on cytotoxicity and gene expression. Concentrations of a suite of organic flame retardants (OFRs) were quantified in extracts from a total of 19 megacities/major cities in an earlier study, and levels were highly variable across sites. Chicken embryonic hepatocytes were exposed to serial dilutions of extracts from the 19 cities for 24 h. Cell viability results indicate a high level of variability in cytotoxicity, with extracts from Toronto, Canada, having the lowest LC50 value. Partial least squares (PLS) regression analysis was used to estimate LC50 values from OFR concentrations. PLS modeling of OFRs was moderately predictive of LC50 (p-value = 0.0003, r2 = 0.66, slope = 0.76, when comparing predicted LC50 to actual values), although only after one outlier city was removed from the analysis. A chicken ToxChip PCR array, comprising 43 target genes, was used to determine effects on gene expression, and similar to results for cell viability, gene expression profiles were highly variable among the megacities. PLS modeling was used to determine if gene expression was related to the OFR profiles of the extracts. Weak relationships to the ToxChip expression profiles could be detected for only three of the 35 OFRs (indicated by regression slopes between 0.6 and 0.5 when comparing predicted to actual OFR concentrations). While this in vitro approach shows promise in terms of evaluating effects of complex mixtures, we also identified several limitations that, if addressed in future studies, might improve its performance.


2020 ◽  
Vol 59 (47) ◽  
pp. 20779-20786
Author(s):  
Xinmin Zhang ◽  
Chihang Wei ◽  
Zhihuan Song

2020 ◽  
Vol 9 (2) ◽  
pp. 46
Author(s):  
Heince R. N. Wokas ◽  
David P.E. Saerang ◽  
Jantje J Tinangon ◽  
Ivonne S Saerang

The purpose of this study is to identify the different types of accountability requirements and to determine whether the workload and pressure of accountability requirements affect the auditing performance of the internal auditors' Government Internal Supervisory Apparatus (or called APIP) the Regional Government Inspectorate in North Sulawesi, Indonesia both women and men, with Partial Least Squares (PLS) modeling as an analysis tool used in analyzing and interpreting the data. The results of the study using quantitative analysis showed that the auditing performance of the APIP in North Sulawesi was partly influenced by the negative perceptions of work context in the form of workload and work pressure. The auditing performance is not affected by the dimensions of accountability requirements, work pressure affects the auditing performance, and so does the gender that does not affect the auditing performance.


2020 ◽  
Vol 44 (8) ◽  
Author(s):  
Ana Jurinjak Tušek ◽  
Lucija Marić ◽  
Maja Benković ◽  
Davor Valinger ◽  
Tamara Jurina ◽  
...  

2020 ◽  
Vol 59 (25) ◽  
pp. 11552-11558 ◽  
Author(s):  
Xinmin Zhang ◽  
Manabu Kano ◽  
Zhihuan Song

2018 ◽  
Vol 72 (7) ◽  
pp. 1029-1039 ◽  
Author(s):  
Ammon Williams ◽  
Supathorn Phongikaroon

In this current study, the molten salt aerosol–laser-induced breakdown spectroscopy (LIBS) system was used to measure the uranium (U) content in a ternary UCl3–LiCl–KCl salt to investigate and assess a near real-time analytical approach for material safeguards and accountability. Experiments were conducted using five different U concentrations to determine the analytical figures of merit for the system with respect to U. In the analysis, three U lines were used to develop univariate calibration curves at the 367.01 nm, 385.96 nm, and 387.10 nm lines. The 367.01 nm line had the lowest limit of detection (LOD) of 0.065 wt% U. The 385.96 nm line had the best root mean square error of cross-validation (RMSECV) of 0.20 wt% U. In addition to the univariate calibration approach, a multivariate partial least squares (PLS) model was developed to further analyze the data. Using partial least squares (PLS) modeling, an RMSECV of 0.085 wt% U was determined. The RMSECV from the multivariate approach was significantly better than the univariate case and the PLS model is recommended for future LIBS analysis. Overall, the aerosol-LIBS system performed well in monitoring the U concentration and it is expected that the system could be used to quantitatively determine the U compositions within the normal operational concentrations of U in pyroprocessing molten salts.


2017 ◽  
Vol 29 (2) ◽  
pp. 413-421 ◽  
Author(s):  
Nathan M. Sindt ◽  
Faith Robison ◽  
Mark A. Brick ◽  
Howard F. Schwartz ◽  
Adam L. Heuberger ◽  
...  

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