Training-induced changes in bipedal stance. by Cristina Dolciotti (16317330)

Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS. by Cristina Dolciotti (16317330)

Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity. by Cristina Dolciotti (16317330)

Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

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TITAN increaser macroinvertebrate heatmap Heatmap of tolerant (i.e., <i>z</i>+) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number... by Brent J. Bellinger (21156150)

Estimation and prediction of the incidence <i>I</i>(<i>t</i>) in synthetic data. by Oscar Fajardo-Fontiveros (20469421)

“…For each of these scenarios, we consider four testing and reporting models (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012687#sec009" target="_blank">Methods</a> for details): constant reporting exponent <i>n</i> = −1 and testing that grows indefinitely with incidence (left column); constant reporting exponent <i>n</i> = −2 and testing that grows indefinitely with incidence (center-left column); variable reporting exponent <i>n</i> = −<i>α</i> log <i>C</i> and testing that grows indefinitely with incidence (center-right column); variable reporting exponent <i>n</i> = −<i>α</i> log <i>C</i> and testing that saturates at high incidence values (right column). …”

Statistical details of data presented in Fig 16. by Piotr Popik (292215)

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Statistical details of data presented in Fig 17. by Piotr Popik (292215)

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Distribution of <i>L</i>(<i>p</i>) with an absolute error when a single observation is randomly sampled at each time point, with the smallest observation (blue) and the largest obs... by Hyeontae Jo (20469463)

“…As the <i>L</i>(<i>p</i>) distribution associated with the larger observation tends to have higher overall values, the likelihood of it being ultimately selected decreases.…”

A sample precision curve of "anogenital sniffing" classifier shows its maximum F1 = 0.77 at Detection Threshold ~ 0.3. by Piotr Popik (292215)

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A 3-D plot showing the mean time (s) of fighting behavior in the dark-to-light transition sessions at different days, in 1-minute epochs. by Piotr Popik (292215)

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A frame from the final video containing human-hearable audio track showing grooming behavior and FM USV call at frame #50. by Piotr Popik (292215)

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A 3-D plot showing the mean time (s) of fighting behavior in the light-to-dark transition sessions at different days, in 1-minute epochs. by Piotr Popik (292215)

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Lymphocytes decreased in mouse pneumonia model. by Qi Xu (134661)

Decreased <i>Notch3</i> asymmetry in <i>Nodal</i> mutants. by Tobias Holm Bønnelykke (20968460)

The values calculated for the inhibitor dissociation constant, as detailed in Eqs 10 and 11 and approximated values for the binding rate constants of the inhibitors. by J. Roadnight Sheehan (20141887)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

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Bidimensional Low-High Frequency Normalized Difference and High-Low Frequency Power (LHFND, LHFP) plane representation of the interaction among Phase and High-Low Authoritativeness... by David Vagni (8060432)

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Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

Average Time Between Successive R-wave Peaks (RR Intervals) across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: RR decreases fr... by David Vagni (8060432)

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