Proportion of clusters recovered between different mixtures of pol and wgs sequences and all wgs based on overlap coefficient, full dataset. by August Guang (9975678)

Proportion of clusters recovered between different mixtures of pol and wgs sequences and all wgs based on overlap coefficient, subset dataset. by August Guang (9975678)

Adjusted mutual information (AMI) boxplot between phylogenetic clustering of different mixtures of pol and wgs sequences and all wgs, full dataset. by August Guang (9975678)

Adjusted mutual information (AMI) boxplot between phylogenetic clustering of different mixtures of pol and wgs sequences and all wgs, subset dataset. by August Guang (9975678)

Data correlated and used in the study. by Joseph Kagabo (20405114)

“…Analysis of collected data was performed using Xgboost (gain) and Random Forest (mean decrease in accuracy), machine learning techniques, to construct models that evaluate and categorize the importance of all physico-chemical properties on the presence and abundance of intermediate host snails (IHS).…”

Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

“…The reduction in SSC may influence chlorophyll-a (Chl-a) concentrations in water, thereby further affecting the aquatic ecological environment. …”

Bidimensional High-Low Frequency (HF, LF) plane representation of the interaction among Phase and High-Low Clarity Groups_: In the Low Clarity (LC) group there was a larg... by David Vagni (8060432)

Distribution of patients in the 4 age groups, mean value of IC-volume from both sides and separately for the left and right ICs. by Pingling Kwok (14896191)

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)

Comparison of the systolic , mean and diastolic pressure values at different locations for the normotensive and hypertensive scenarios. by Eduardo G. Zilves (22209247)

MAE values under STL model and PCA principal component analysis model. by Xiangjuan Liu (618000)

Characteristics of the participants (mean ± SD): Age and biomarkers. by Chul-young Bae (14709766)

Characteristics of the participants (mean ± SD): Lifestyle (numeric). by Chul-young Bae (14709766)

Confusion Metrics: Presenting classification results on the test set. by Muhammad Zubair (728141)

Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

Data sets for model creation and external validation. by Junichi Kushioka (12236447)

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

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

Flowchart of patient selection in this study. by Kazuyoshi Ohkawa (836847)

“…Among the letrozole-treated patients, the mean FIB-4 index tended to decline during letrozole treatment; a significant decrease was observed at 18 and 24 months compared with the baseline values (p = 0.044 and p = 0.013). …”