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)

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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)

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The difference in mean score for the five scales of the RISE-Q for breakfast and main meal among study participants (n = 835). by Leila Cheikh Ismail (3152526)

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

Decreasing mean transistor size since 2000. by David Burg (8209752)

CM-DWM-EC chart using 30% decrease in the mean for the E(KeV). by Shumaila Nisar (20114256)

“…<p>CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).</p>…”

Fig 5 - by Dennis Ochola (11626912)

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Means and standard deviations regarding the listening frequency to the five musical dimensions. by Oswaldo Lorenzo-Quiles (9443753)

Sociodemographic characteristics of participants (n = 1482). by Leila Cheikh Ismail (3152526)

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The frequency of consumption of foods among participants (n = 1482). by Leila Cheikh Ismail (3152526)

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Lifestyle characteristics of participants (n = 1482). by Leila Cheikh Ismail (3152526)

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Self-reported eating rate based on BMI categories. by Leila Cheikh Ismail (3152526)

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Disaggregation of consumer biomass response across the food web. by Vianney Guibourd de Luzinais (16871842)

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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)

Mean decrease in accuracy (MDA) of top 15 urine metabolites. by Liam E. Broughton-Neiswanger (8447220)

“…Urine metabolites with a mean decrease in accuracy ≥ 0.004 in at least one post-treatment time point (2–5) were considered for inclusion in the predictive model.…”

Spatial representation of mean annual soil loss increase/decrease derived with the different modeling centers (rows) and time steps (columns) with the SSP5-8.5. by Fabián Santos (8174028)

“…<p>Spatial representation of mean annual soil loss increase/decrease derived with the different modeling centers (rows) and time steps (columns) with the SSP5-8.5.…”

List of Included studies. by Zahra Tajik (20752452)

“…There is no significant difference one month after NSPT in diabetic patients (SMD: -5.83, 95%CI: -15.5, 3.83, p = 0.237, I-square, 97.4%, random effects model, n = 2), but three (SMD: -2.44, 95%CI: -3.37, -1.15, p = 0.001, I-square, 75.9%, random effects model, n = 3) and six months (SMD: -2.41, 95%CI: -3.81, -1.01, p = 0.001, I-square, 78.7%, random effects model, n = 2) after the treatment, a significant decrease is observed in the mean GCF visfatin level. …”

The search strategy in three databases. by Zahra Tajik (20752452)

“…There is no significant difference one month after NSPT in diabetic patients (SMD: -5.83, 95%CI: -15.5, 3.83, p = 0.237, I-square, 97.4%, random effects model, n = 2), but three (SMD: -2.44, 95%CI: -3.37, -1.15, p = 0.001, I-square, 75.9%, random effects model, n = 3) and six months (SMD: -2.41, 95%CI: -3.81, -1.01, p = 0.001, I-square, 78.7%, random effects model, n = 2) after the treatment, a significant decrease is observed in the mean GCF visfatin level. …”

A summary of the included study characteristics. by Zahra Tajik (20752452)

“…There is no significant difference one month after NSPT in diabetic patients (SMD: -5.83, 95%CI: -15.5, 3.83, p = 0.237, I-square, 97.4%, random effects model, n = 2), but three (SMD: -2.44, 95%CI: -3.37, -1.15, p = 0.001, I-square, 75.9%, random effects model, n = 3) and six months (SMD: -2.41, 95%CI: -3.81, -1.01, p = 0.001, I-square, 78.7%, random effects model, n = 2) after the treatment, a significant decrease is observed in the mean GCF visfatin level. …”