The mean ERSPs time-locked to the presentation of target stimuli in visual and auditory conditions are showing IC cluster mean differences in log spectral EEG power (dB) relative t... by Hanni Kiiski (133537)

Effect of contraction mode on inorganic phosphate. by Luke R. Arieta (10517126)

A graphical comparison of the effect of ankle and hip strength on the mean calculated quasistatic active feasible balance region (FBR) for OLB in women (left) and men (right) of di... by Payam Mirshams Shahshahani (5459369)

Effect of sequencing depths on estimates of ANOSIM R and 95% confidence intervals based on Bray-Curtis dissimilarity indices. by Ryoko Oono (4691824)

Overall effects for pH. by Luke R. Arieta (10517126)

Experimental speed change detection paradigm and example PSTHs. by Udo A. Ernst (11690163)

Composition of <i>Symbiodinium</i> cells of different morphology expelled from corals. by Lisa Fujise (672628)

<i>Symbiodinium</i> density <i>in hospite</i>. by Lisa Fujise (672628)

Administrative map of Bénin, showing the location of the leprosy treatment centres in the departments. by Ronald Sètondji Gnimavo (12914868)

Cell-specific TOC removal. by Anna K. James (3812875)

Effect of contraction mode on pH. by Luke R. Arieta (10517126)

BAI as a percent release at pH 4.5. by Ruchika Kishor Jain (19704102)

“…After BAI-RCD treatment, both cell lines showed a decrease in antioxidant stress measures (SOD, CAT, and GSH) and a significant (<i>p</i> < 0.001) increase in oxidative stress parameters (NADPH, MPO, LPO, and PC). …”

Study characteristics. by Luke R. Arieta (10517126)

“…Participant characteristics, contraction mode (isometric, dynamic), and final pH and [Pi] were extracted. A random-effects model was used to calculate the mean difference (MD) and 95% confidence interval (CI) for pH and [Pi] across age groups. …”

Paeameter ranges and optimal values. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Datasets used in the study area. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Evaluation of the improved random forest model. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Comparison of model metrics. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Flowchart of population spatialization. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Data_Sheet_1_Comparing Log-Linear and Best-Fit Models to Evaluate the Long-Term Persistence of Enteric Markers in Sewage Spiked River Water.docx by Yolanda M. Brooks (2835941)

“…The decay of molecular measurements of FIB does not follow a log-linear pattern. This study examined the factors associated with the persistence of Escherichia coli uidA, enterococci 23S rDNA, and Bacteroides thetataiotaomicron 1,6 alpha mannanase in microcosms containing 10% (vol/vol) sewage spiked river water stored at 4°C for up to 337 days. …”