A Representative example of organ surface data before and after editing. حسب Takashi Kimura (178058)

Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ₀, and different frequencies, , at different cutoff-values, δ_scan ∊ [3... حسب Guillermo Pérez-Hernández (21156182)

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)

Data features examined for potential biases. حسب Harry Hochheiser (3413396)

"…<div><p><b>Objective:</b> To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score.…"

Analysis topics. حسب Harry Hochheiser (3413396)

"…<div><p><b>Objective:</b> To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score.…"

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

Application to Drosophila gastrulation. حسب Sophie Theis (4126453)

Catalogue of compact radio sources in Messier-82 from e-MERLIN observations حسب Sibongumusa Shungube (21197363)

"…The table includes the following columns:</p><p dir="ltr">(1) Source Number (sequential identifier)</p><p dir="ltr">(2) Source Name</p><p dir="ltr">(3) Right Ascension Offset (arcseconds from 09h55m00s J2000)</p><p dir="ltr">(4) Declination Offset (arcseconds from 69d40m00s J2000)</p><p dir="ltr">(5) Peak 1.5 GHz Flux Density (mJy/beam)</p><p dir="ltr">(6) Integrated 1.5 GHz Flux Density (mJy)</p><p dir="ltr">(7) Signal-to-Noise Ratio</p><p dir="ltr"><b>Note: </b>For a subset of sources (2, 12, 18, and 36), where the initial Gaussian fit yielded an integrated flux density lower than the peak flux density, the peak flux density was adopted as the representative integrated flux density for these entries.…"

Overview of the <i>B</i>. <i>subtilis</i> iModulon structure. حسب Anand V. Sastry (6619310)

<i>Spherical Textures</i> and machine-learning classifications of <i>C. elegans</i> germline nuclei. حسب Oane Gros (20636735)

Automatic classification of germline nuclei provides quantifications of meiotic progression. حسب Oane Gros (20636735)

Results derived from <i>D</i>-SPR analysis at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script; <i>error</i> column reports the standard deviation values and represents the variability within the mean of four experimental replicates. حسب Gabriele Antonio Zingale (12463357)

"…<p>Results derived from <i>D</i>-SPR analysis at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script; <i>error</i> column reports the standard deviation values and represents the variability within the mean of four experimental replicates.…"

Introduction to the iModulonMiner using public <i>B</i>. <i>subtilis</i> RNA-seq data as a case study. حسب Anand V. Sastry (6619310)

Representative MSD plots, Fig. 6c,d حسب Hirotake Udono (21008660)

Representative examples of scanned intake forms. حسب Yojiro Umezaki (5916593)

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.…"

Modeling lung cancer AST network and its perturbation with a SOX2 degrader. (A) Lung Cancer AST Network and the corresponding stochastic equations. Parameters are , , , , , , , , w... حسب Ziyan Jin (21021976)

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

Segmentation module training details. حسب Khelina Fedorchuk (19130089)

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