Impact of frame shifts on tracking model performance. by Owen M. O’Connor (11965460)

Subjects:

Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

“…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”

Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

“…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”

Verification of the in-line PS function. by Raul Castañeda (13932971)

Examples of the Fresnel and Fresnel-Bluestein propagation approaches to numerically focus holograms using a rectangular mask to filter the object frequencies from the hologram spec... by Raul Castañeda (13932971)

Utilizing variable background weight maps for training the model on debris. by Owen M. O’Connor (11965460)

Subjects:

Loss history of segmentation model trained over 600 epochs. by Owen M. O’Connor (11965460)

Subjects:

Schematic showing how the tracking model uses the inputs to make predictions. by Owen M. O’Connor (11965460)

Subjects:

Python code for ray-tracing through Cartesian surfaces by Alberto Silva (8373543)

Schematic of the pixelwise binary cross-entropy loss function used to train the segmentation and tracking models. by Owen M. O’Connor (11965460)

Subjects:

Table_1_FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria.xlsx by Thiago Castanheira Merigueti (6912842)

“…The web application was developed in Python using COBRApy and Django.</p><p>Results: The proposed method was demonstrated to be robust enough to process even non-curated, incomplete, or imprecise metabolic networks, in addition to integrated host-pathogen models. …”

DataSheet_2_FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria.zip by Thiago Castanheira Merigueti (6912842)

“…The web application was developed in Python using COBRApy and Django.</p><p>Results: The proposed method was demonstrated to be robust enough to process even non-curated, incomplete, or imprecise metabolic networks, in addition to integrated host-pathogen models. …”

DataSheet_1_FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria.xlsx by Thiago Castanheira Merigueti (6912842)

“…The web application was developed in Python using COBRApy and Django.</p><p>Results: The proposed method was demonstrated to be robust enough to process even non-curated, incomplete, or imprecise metabolic networks, in addition to integrated host-pathogen models. …”

A Cell-Based, Dynamic Flow Direction Model (DFD Model) for Water Balance Calculations Simulating Overland Runoff through Depressions Implemented using Python and GIS by Zhentao Wang (13042179)

“…<p>A Cell-Based, Dynamic Flow Direction Model (DFD Model) for Water Balance Calculations Simulating Overland Runoff through Depressions Implemented using Python and GIS</p>…”

Parameters and units for the Microbial Consumer Resource Model. by Robert Marsland (8616483)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Reproducible implementation for article: Reproducibility study of the modular and reusable model of epithelial transport in the proximal convoluted tubule by Leyla Noroozbabaee (14301173)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”

Python programming code for the stochastic inference of disease interval distributions. by Günter Schneckenreither (10099380)

Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization by Huichao Yin (14589020)

“…<p dir="ltr">Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization.…”