ConnectivityDiagram_NN2ER_p10.png from Interaction network effects on position- and velocity-based models of collective motion by Ali Emre Turgut (780622)

ConnectivityDiagram_NN2SF_p02.png from Interaction network effects on position- and velocity-based models of collective motion by Ali Emre Turgut (780622)

ConnectivityDiagram_NN2ER_p02.png from Interaction network effects on position- and velocity-based models of collective motion by Ali Emre Turgut (780622)

Fluid loss and hydration in CON (n = 22) and HOT (n = 17) surgeries; Decrease in body mass in kg (A), decrease in body mass in % of total body mass (B), rate of decrease in body ma... by Zehra Palejwala (7507409)

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. …”

Annual treatment frequencies in all eyes. by Yasuyuki Sotani (20114144)

“…<p>The number of anti-VEGF treatments, STTA, MA-PC, PPV, and total treatments (mean ± SD) significantly decreased from 2.6 ± 1.6, 0.3 ± 0.8, 0.6 ± 0.8, 0.1 ± 0.3, and 3.7 ± 1.7 preoperatively to 0.8 ± 1.9, 0.0 ± 0.2, 0.3 ± 1.0, 0.0, and 1.2 ± 2.2; at year 2 to 0.7 ± 2.0, 0.1 ± 0.6, 0.0 ± 0.2, 0.0 ± 0.2, and 1.0 ± 2.1; and at year 3 to 0.9 ± 2.2, 0.0, 0.2 ± 1.0, 0.0 ± 0.2, and 1.1 ± 3.1 (Kruskal–Wallis test, P < 0.001; Dunn’s test, **P < 0.01). …”

Annual number of outpatient visits in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

“…<p>In the recurrence group, mean outpatient visits (± standard deviation) decreased from 13.6 ± 3.0 to 11.9 ± 5.0, 8.1 ± 3.9, and 7.8 ± 3.2 at 1, 2, and 3 years postoperatively, respectively (Kruskal-Wallis test, P < 0.001; Dunn’s test, **P < 0.01). …”

Annual number of outpatient visits in all eyes. by Yasuyuki Sotani (20114144)

“…<p>Mean visit frequency (mean ± standard deviation) significantly decreased from 11.5 ± 4.3 preoperatively to 8.8 ± 4.1, 5.0 ± 3.4, and 4.4 ± 3.2 visits in the first, second, and third postoperative years, respectively (Kruskal–Wallis test, P < 0.001; Dunn’s test, **P < 0.01). …”

Annual treatment frequencies in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

“…(<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0332941#pone.0332941.g007" target="_blank">Fig 7</a>). Mean outpatient visits in the recurrence group decreased from 13.6 ± 3.0 to 11.9 ± 5.0, 8.1 ± 3.9, and 7.8 ± 3.2 at 1, 2, and 3 years postoperatively, respectively (Kruskal-Wallis test, p < 0.001). …”

List of excluded articles. by Yasmine Makhlouf (17409866)

Fig 5 - by Changhyun Lim (8693979)

T1 vs pelvis pressure. by Søren Kissow Lildal (14636870)

T1 vs accumulated pelvis pressure. by Søren Kissow Lildal (14636870)

Mean observer DCCR (%) and DDR (%) at C2-3 in neutral (n = 22) and flexed (n = 18) neck positions. by Devon England (21262225)

Plasma TNFRSF11B as a New Predictive Inflammatory Marker of Sepsis–ARDS with Endothelial Dysfunction by Dong Zhang (73558)

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