Python file of the computational framework. by Benoit Haut (9753029)

BlueRecording simulates hippocampal LFP. by Joseph James Tharayil (21416715)

BlueRecording simulates whisker-flick EEG. by Joseph James Tharayil (21416715)

System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool by Pavel Izosimov (20096259)

“…</li></ul><h2>Integration with Other Tools</h2><p dir="ltr">The System Hardware ID Generator Script is part of the broader suite of tools offered by the <a href="https://xn--mxac.net/" target="_blank">Alpha Beta Network</a>, dedicated to enhancing security and performance in <a href="https://xn--mxac.net/" target="_blank">Python programming</a>.</p><ul><li>For advanced <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Python code protection tools</a>, consider using the <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Local Python Code Protector Script</a>. …”

An example of how segmentation corrects tracking during execution. by Khelina Fedorchuk (19130089)

Fig 3 - Using artificial intelligence tools to automate data extraction for living evidence syntheses by Evan Mitchell (20995743)

Fig 4. - mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data by Guillermo Pérez-Hernández (21156182)

Estimating dopamine effects on humans. by Domenico Guarino (20428000)

Prism and scutoid cell shape. by Sophie Theis (4126453)

Dentate granule cells have polarised responses to neuromodulators switch spiking behaviour under neuromodulation. by Domenico Guarino (20428000)

Procedure for aligning the NeuroRat head model underlying the FEM simulations with the BBP circuit model. by Joseph James Tharayil (21416715)

RMSF results of the ligands within the receptor during the simulation. by Kassim Folorunsho Adebambo (22806479)

RMSD results of the ligands during the molecular dynamics simulation study. by Kassim Folorunsho Adebambo (22806479)

Intersection and distinction of essential compounds and targets from 5 primary sources. by Gyaltsen Dakpa (21439920)

“…<b>(B)</b> UniProt and SwissTarget Prediction-predicted target proteins and 658 actives are intersected using the Jvenn Python to plot the intersection of targets in which Purple represents <i>R. officinalis</i>, Green indicates S. officinalis, Orange represents <b><i>T.…”

Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout. by Adel Heydarabadipour (22290905)

“…<p>Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. …”

Model fitting to neighborhood-level COVID-19 case data. by Renquan Zhang (13167533)

“…Simulated cases were aggregated to the city level and are compared with the daily confirmed cases in NYC (red line). The shaded blue area represents the 95% credible interval, obtained from 500 independent simulations, without adding the Gaussian observation error (i.e., it only reflects the uncertainty in the latent deterministic trajectories). …”

Bayesian Changepoint Detection via Logistic Regression and the Topological Analysis of Image Series by Andrew M. Thomas (712104)

“…The method also successfully recovers the location and nature of changes in more traditional changepoint tasks. An implementation of our method is available in the Python package bclr.…”

[ relative elevation model data visualization for Data Bloom 2024 ] by Rusmiya Aqid (22189850)

“…The main river stream is shown in a bright yellow color, and the 'borders' of it are cyan/blue, representing a higher elevation depicting runoff or remnants of floods.…”

Tracking when the number of individuals in the video frame changes. by Hirotsugu Azechi (20700528)

“…The yellow box in the schematic represents the processes using multi-animal tracking tools, while the green box represents the processes using single-animal tracking tools. …”

Table 1_Analysis of distribution equilibrium and influencing factors for older adult meal service facilities in mainland China.xlsx by Feng Wang (44414)

“…Objective<p>Analyze the distribution equilibrium of older adult meal service facilities in mainland China and explore the factors influencing their distribution.</p>Methods<p>Use Python to obtain data on older adult meal service facilities, and analyze the equity of older adult meal services using descriptive statistics, the Lorenz curve, the Gini coefficient, and the Spatial Mismatch Index (SMI). …”