PyNoetic’s channel selection module, which supports various channel selection criteria including CSP, correlation, Mutual Information, and Chi-squared. حسب Gursimran Singh (575288)

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Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... حسب Gursimran Singh (575288)

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The results of ICA performed using PyNoetic. حسب Gursimran Singh (575288)

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PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. حسب Gursimran Singh (575288)

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Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. حسب Gursimran Singh (575288)

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Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module. حسب Gursimran Singh (575288)

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A typical BCI system depicting the flow and processing of EEG data. حسب Gursimran Singh (575288)

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Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

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Engineering Various Components of a Magneto-Optical Trap and Simulation of Ultracold Atoms in a Harmonic Potential for the Formation of Bose-Einstein Condensate حسب Rahul Das (22607879)

"…Key experimental components include a magnetic-field compensator, and RF antenna integrated with a Python-based GUI control system. Complementary simulations model atom dynamics in a harmonic potential and cloud evolution under quenches, outlining pathways toward achieving a Bose–Einstein condensate. …"

Scope of our collection of pathogen models of metabolism. حسب Emma M. Glass (13102872)

"…The average MEMOTE score across models is 84% (d–f) Boxplots representing the spread of genes, reactions, and metabolites in each model, classified by phylum. …"

Integrating Scientific GUI Applications into Autoscaled Science Gateway Environments حسب Julien Chastang (640650)

Workflow of a typical Epydemix run. حسب Nicolò Gozzi (8837522)

"…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …"

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... حسب Hector Torres (11708207)

"…<p><b>(a)</b> UMAP, t-SNE, PCA, and Diffmap were first generated using the Python libraries Scikit-learn, UMAP, and PyDiffmap within Jupyter to generate static graphs as a starting point. …"

A free tutorial book from NSF Cybertraining C2D: Cybertraining for Chemical Data scientists حسب Xiangliang Zhang (19460047)

"…In Chapter 2, we guide chemists through setting up a Python environment tailored for data science applications in chemistry. …"

Processing parameters. حسب Hosamane Guruswamy Prashantha Kumar (21433265)

"…An improvement of 33% occurred in the sliding performance after LSP treatment because the COF reduced from 0.30 to 0.20. The constructed Python-based digital twin model employed multi-variable regression analysis for 30 experimental trials yielding an R² value of 0.91 and an RMSE value of 0.026 mm³/N·m. …"

ThermoPred: AI-Enhanced Quantum Chemistry Data Set and ML Toolkit for Thermochemical Properties of API-Like Compounds and Their Degradants حسب Diullio P. Santos (22770713)

"…In this work, we present an open-access quantum-chemistry database of more than 14,500 API-like molecules and their degradation products, all optimized at the M06-2<i>X</i>/6-31G(d) compound model. …"

PTPC-UHT bounce حسب David Parry (22169299)

"…</p><p dir="ltr">Included files:</p><ul><li>Python source code (<code>PTPC_UHT_bounce.py</code>)</li><li>Parameter sets for representative runs (α,β,Tcrit,V(T)\alpha, \beta, T_{\mathrm{crit}}, V(T)α,β,Tcrit​,V(T))</li><li>Output arrays of trajectories across multiple bounces</li><li>Multi-panel plots (PNG/PDF) for a(t)a(t)a(t), H(t)H(t)H(t), T(t)T(t)T(t), S(t)S(t)S(t), R(t)R(t)R(t), and ρT\rho_TρT​</li></ul><p dir="ltr">This dataset ensures full reproducibility of the PTPC simulations and provides a starting point for independent verification, parameter exploration, and future model extensions.…"

Flowchart describing the AI-LES program. حسب Evan Mitchell (20995743)

"…Tools exist to automate the retrieval of relevant journal articles, but pulling data out of those articles is currently still a manual process. In this article, we present a proof-of-concept Python program that leverages artificial intelligence (AI) tools (specifically, ChatGPT) to parse a batch of journal articles and extract relevant results, greatly reducing the human time investment in this action without compromising on accuracy. …"

Topological and functional comparison of the NeKo networks created for the medulloblastoma subgroups using the HURI databases. حسب Marco Ruscone (11747264)

Comparative analysis of WordNet replacement impact on data distribution. حسب Enock Niyonkuru (21246879)