Flow chart of included patients and dropouts. by Johanna Rydja (12300797)

Subjects:

Dataset of the analyzed data. by Johanna Rydja (12300797)

Subjects:

Quantitative gait variables, comparisons between the patients and the healthy individuals. by Johanna Rydja (12300797)

Subjects:

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…However, this model can be time-consuming and can only represent a single vessel track. To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”

A range of fits to the human data set across different tuning parameter values with the top 1% of outliers displayed using the method presented in the main text for human data. by Vivaswat Shastry (18176036)

Regionally distinguished demographic estimates for GI-1d-a based on dataset A (all sites). by Isabell Schmidt (6331013)

Values of <i>g</i>(<i>a</i>_<i>i</i>) satisfying Eq (2) for each action rule in <i>A</i> by Hitoshi Yamamoto (738861)

Voxel representation of a 3D binary image (left) and its corresponding graph of connected pore space voxels (right). by Mouad Klai (20818364)

PRISMA flow diagram of study selection. by Masoud Rahmati (16665456)

“…Meta-regression analysis indicated that for every one-year increase in age, ADL performance decreased by an average of 0.0147 units (p < 0.001), while IADL performance declined at a slower rate of 0.0047 units/year (p = 0.031).…”

General characteristics of included studies. by Masoud Rahmati (16665456)

“…Meta-regression analysis indicated that for every one-year increase in age, ADL performance decreased by an average of 0.0147 units (p < 0.001), while IADL performance declined at a slower rate of 0.0047 units/year (p = 0.031).…”

Characteristics of individual studies. by Masoud Rahmati (16665456)

“…Meta-regression analysis indicated that for every one-year increase in age, ADL performance decreased by an average of 0.0147 units (p < 0.001), while IADL performance declined at a slower rate of 0.0047 units/year (p = 0.031).…”

Comparison of Final Palaeolithic Core Areas (based on data A) from GI-1d-a to GS-1. by Isabell Schmidt (6331013)

Graphs showing the mean temperature increase at the positions with the highest mean temperature increase for the MIPS (A) and MONO (B) systems and three drilling protocols (DP1, DP... by Marsel Ganeyev (21453399)

Data from: Large subsurface carbon stocks in a long-term no-tillage site are vulnerable to potential mineralization by Qiuping Peng (20147290)

“…Soil cores were sampled to 153 cm depth at 25 locations representing 5 distinct soil series, a range in landscape positions, and a range in profile organic carbon contents. …”

Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area. by Cristina Dolciotti (16317330)

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

Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

Relation between training-related changes in unipedal and bipedal stance. by Cristina Dolciotti (16317330)

Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)