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

“…The higher the value of mean decrease accuracy or mean decrease Gini score, the higher the importance of the variable in the model.…”

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

“…<p>Patients are grouped according to receiving either dipyrone (blue; n = 341) or acetaminophen (red; n = 71) versus patients receiving no antipyretic treatment (n = 315). Graphs display mean differences in temperature decreases between each two comparators (no medication versus dipyrone, no medication versus acetaminophen and dipyrone versus acetaminophen) with their respective 95% confidence intervals. …”

Histograms of mean anti-mumps antibody titers and seropositivity by vaccine dose and age (0-25 years). by Zixia Qian (21474969)

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

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)

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Reasons for decreasing fear towards COVID-19. by Misganu Endriyas (5581679)

HPK1-IN-3 decreased T lymphocyte activation. by Min Jeong Ahn (18886882)

Does Mean Platelet Volume Decrease in the presence of Coronary Artery Fistula? by Isa Sincer (7234577)

“…Several studies have shown the association between mean platelet volume (MPV) and cardiovascular diseases. …”

The variation trend of |BD| value with age: With the increase of age, the |BD| values decreased significantly (p<0.01). by Yunmeng Da (707943)

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.…”

The means pre-death food intake of all participants and each 4 groups for 24 weeks to death (Range 1-10). by Sakiko Fukui (387048)

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Tax expression is associated with decreased cellular motility. by Saumya Ramanayake (7879091)

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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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Trend of TI values with age: The TI values decreased significantly with the increase of age, * p<0.01 vs other groups. by Yunmeng Da (707943)

Pairwise correlations in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

RNAi of electron transport chain components in glutamate neurons decreases nighttime activity in 10 day old flies. by Jessie E. Landis (16378731)

“…(B) Targeting <i>CG9172</i> and <i>CG5389</i> by RNAi leads to a decrease in average activity during the dark phase of a 24 hour LD cycle by 64% and 69% (p < 0.0001), respectively. …”

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.…”

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)