Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Iron-based nanoparticles (FeNPs) demonstrate potential in alleviating Cd phytotoxicity; however, whether the response mechanisms vary from inside to outside the roots remains poorly understood. Here, ...

PCA was applied to transform the high-dimensional descriptor space into principal components, retaining maximum variance in a low-dimensional space. The first two principal components were further ...

Fashion-MNIST Unsupervised Clustering This project applies unsupervised learning techniques on the Fashion-MNIST dataset to explore the effectiveness of different combinations of dimensionality ...

(C) PCA analysis utilizing presence and absence data for 4262 gene families with an average coverage of 0.5 or greater. The DBSCAN plot employs PC1 and PC2 coordinates for density-based clustering, ...

Over the past years, the emergence of complex and bandwidth-hungry applications has charged the efforts to ensure the reliability of optical networks. Moreover, network scalability issues pose ...

Kernel Density Plot Tool This is a Python implementation of the Kernel Plot Tool that generates SNP density and closest neighbor plots from FASTA files.

Qualitative discrimination was reported by dimensionality reduction and clustering of analytes in principal component analysis (PCA) plots. The quality of clustering was benchmarked with silhouette ...

The increasing global demand for antidepressants (ADs) has led to their widespread presence in wastewater and aquatic environments, posing risks to ecosystems and human health. In this study, a ...