Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF. by Valentin Brusseau (12769704)

Variable importance plot (mean decrease accuracy and mean decrease Gini). by Fernando Martinez-Taboada (8655132)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Subjects:

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Subjects:

Comparison of mean differences in temperature decreases. by Hans-Jörg Gillmann (8460585)

Atmospheric Chlorine Wet Deposition in China: National Decreases but Localized Increases in Urban Agglomerations by Yue Xi (22336201)

Numbers of all fractures, arranged in order of decreasing mean age and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures, arranged in order of decreasing mean age and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”

Wet-to-dry ratio. by Annelie Barrueta Tenhunen (9268152)

Subjects:

The wetting feature of compound solutions. by Xinhui Luo (11880086)

Expression of ApoB-50 decreased lipid accumulation and inhibited HCV production. by Bei Wang (116772)

Standardized mean effect differences between wet-lab experiment and model simulations. by Rachael Miller Neilan (10678614)

“…<p>Hedges’ <i>g</i> standardized mean effect differences were calculated between different groups from our wet-lab experiments and three models (60:40, 50:50, and 30:70) which differed based on the PKC<i>δ</i>:SOM ratio. …”

Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”

Numbers of all fractures occurring in women, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures occurring in women, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”

Boxplots comparing KGE_mean values of every scenario group (a-e) for calibration, where the black star is showing the mean. by Fabian Mitze (21084251)

Subjects:

Participants suggestions for reducing self-wetting in children. by Mahbub-Ul Alam (3566816)

Identification of Gut Microbiota Biomarker Genera Distinguishing Wild and Captive Animals (A) Top 50 discriminative genera selected by random forest classifier, ranked by mean decrease accuracy. by Lin Xu (94491)

First and second mean values and intraclass correlation coefficients (ICCs) of each parameter in pattern electroretinogram. by Soo Ji Jeon (3364214)

The calculation process of severe drying-wetting alternation. by Jianjun Dong (1790398)

Subjects:

BPN values at wet and slippery bends. by Qiang Pan (3818617)

“…<div><p>In order to study the change law of the anti sliding performance of desert highway in the wet and slippery state of the curve, two different curves and straight roads of the same highway were selected for the field test through the method of field test. …”

MTD values at wet and slippery bends. by Qiang Pan (3818617)

“…<div><p>In order to study the change law of the anti sliding performance of desert highway in the wet and slippery state of the curve, two different curves and straight roads of the same highway were selected for the field test through the method of field test. …”