Exploratory factor analysis of PCL-5. by Josleen Al Barathie (12274065)

“…Understanding PCL-5’s structural factors is crucial, as it directly impacts diagnostic algorithms in clinical and research settings and informs knowledge about PTSD’s comorbidities. …”

Scree plot. by Josleen Al Barathie (12274065)

“…Understanding PCL-5’s structural factors is crucial, as it directly impacts diagnostic algorithms in clinical and research settings and informs knowledge about PTSD’s comorbidities. …”

Descriptive statistics by genders. by Josleen Al Barathie (12274065)

“…Understanding PCL-5’s structural factors is crucial, as it directly impacts diagnostic algorithms in clinical and research settings and informs knowledge about PTSD’s comorbidities. …”

Landscape17 by Vlad Carare (22092515)

“…Transition states are defined as first-order saddle points with exactly one negative eigenvalue, corresponding to a local maximum along the reaction coordinate, with positive curvature in the orthogonal eigendirections (aside from the zero eigenvalues corresponding to overall rotation and translation). These stationary points can be represented by weighted graphs, known as kinetic transition networks (KTNs), where minima serve as nodes and edges connect minima that are directly linked by transition states. …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…The described extracted features were used to predict leaf betalain content (µg per FW) using multiple machine learning regression algorithms (Linear regression, Ridge regression, Gradient boosting, Decision tree, Random forest and Support vector machine) using the <i>Scikit-learn</i> 1.2.1 library in Python (v.3.10.1) (list of hyperparameters used is given in <a href="#sup1" target="_blank">Supplementary Data S5</a>). …”