Overview of one حسب Guillermo Pérez-Hernández (21156182)

Code حسب Baoqiang Chen (21099509)

"…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"

High-resolution images of <i>C. elegans</i> germlines shown in Fig. 5A for representative images from three genotypes (Wild-type, <i>zim-2</i>, <i>syp-4</i>) with manually annotate... حسب Oane Gros (20636735)

Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... حسب Ziyan Jin (21021976)

الموضوعات:

RNA Velocity model simulation results. (A) Simulation results for RNA Velocity model without delay ( samples). The simulation is composed of an up-regulation phase (both production... حسب Ziyan Jin (21021976)

الموضوعات:

A list of all facial muscle movements mentioned in the chimpFACS manual [5] and considered in our present study. حسب Aisha Mahmoud (20623732)

A list of all facial muscle movements mentioned in the catFACS manual [14] and considered in our present study. حسب Aisha Mahmoud (20623732)

Comparison of tools with features similar to <i>bmdrc,</i> and a descriptions of the modules within the <i>bmdrc</i> package.  حسب David J. Degnan (13886280)

"…The smaller boxes within the larger boxes represent individual functions within the <i><i>bmdrc</i></i> Python library.…"

A) Schematic representation of the extended SEIR model, incorporating additional compartments to account for disease-related mortality. حسب Nicolò Gozzi (8837522)

Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research حسب Temitope Omogbene (18615415)

"…<p dir="ltr">This collection contains supplementary datasets generated during the machine learning–assisted bibliometric workflow for metabolomics and phytochemical research. The datasets represent sequential outputs derived from the integration and harmonisation of bibliographic metadata from <b>Scopus</b>, <b>Web of Science (WoS)</b>, and <b>Dimensions</b>, processed via R and Python environments.…"

Computing speed and memory usage. حسب David Berling (22170661)

"…Evaluation of the original model for different spatial volumes was not possible due to hard coding of these parameters in the published application. …"

6. Motif Code Theory حسب William Terry (22279591)

"…<p dir="ltr">The Motif Code Theory (MCT) simulation code, mct_unified_code.py, is a Python 3.9 script that models the universe as a time-dependent directed multigraph G(t) = (V(t), E(t)) with N=10^7 vertices (representing quantum fields/particles) and edges (interactions). …"

Tracking module training details. حسب Khelina Fedorchuk (19130089)

CompuCrawl: Full database and code حسب Richard Haans (6324669)

"…</li><li><i>08 Word2Vec work with aligned models.py</i>: Python script which loads the trained Word2Vec models to trace the development of the embeddings for the terms “sustainability” and “profitability” over time.…"

Differences in compartment weights explain differences between EEG and ECoG. حسب Joseph James Tharayil (21416715)

Simplified calculation methods produce inaccurate signals. حسب Joseph James Tharayil (21416715)

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

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

Replication package for Exploring the relation between source code commit information and SonarQube issues حسب Liviu Marian Berciu (17797934)

"…<p dir="ltr">This item represents a replication package/dataset for the article `Exploring the relation between source code commit information and SonarQube issues`. …"

Five Operator Lattice Simulation حسب James McDaniel (22522571)

"…</p><p dir="ltr">Running the included file <code>five_operator_lattice_sim.py</code> (Python 3.14 + NumPy 2.1) reproduces the dynamic interactions and figures reported in Appendix A of the paper, generating time-series data that demonstrate operator balance, instability, and renewal cycles.…"