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

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

Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)

“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i>₀ = 5, <i>p</i> = 0.1 <b>(a)</b> and Barabási-Albert networks with parameter <i>m</i> = 5 <b>(b)</b> using the Python wrapper of our C++ implementation and compare its performance with the Python library from Ref. …”

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

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. by 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.…”

Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ₀, and different frequencies, , at different cutoff-values, δ_scan ∊ [3... by 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... by Oane Gros (20636735)

Results derived from <i>D</i>-SPR analysis of the lysozyme (349μM) at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script described previously; the <i>error</i> column reports the standard deviation values and represents the variability within the mean of four experimental replicates; values are consistent with the ones reported in the existing literature [13]. by Gabriele Antonio Zingale (12463357)

“…<p>Results derived from <i>D</i>-SPR analysis of the lysozyme (349μM) at 25°C: <i>D</i>-SPR values refer to the <i>D</i> calculated with the Python script described previously; the <i>error</i> column reports the standard deviation values and represents the variability within the mean of four experimental replicates; values are consistent with the ones reported in the existing literature [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312594#pone.0312594.ref013" target="_blank">13</a>].…”

(a) System dynamics: schematic representation of all the reactions in the Tree model, which are aging, reproduction, color cycle, and competition. by Fabricio Cravo (21387854)

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

SparcleQC: Automated Input File Creation for QM/MM Studies of Protein:Ligand Complexes by Caroline S. Glick (21561990)

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... by Hector Torres (11708207)

“…Interactive features include hover tooltips displaying cell metadata, legend control, and zoom functionality, enabling rapid exploration of cell- and cluster-level properties. <b>(c)</b> High-resolution screenshots from a representative spatial transcriptomics dataset (~3,000 cells) illustrate the SpatioView interface, with labeled control panels, legends, and zoom options. …”

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... by Ziyan Jin (21021976)

Schematic of the approach: This schematic illustrates the entire workflow of the project. by Enock Niyonkuru (21246879)

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

“…</li><li><b>Dataset 1B (sampled_data.xlsx):</b> A stratified random sample generated in Python for pretraining and manual annotation.</li><li><b>Dataset 1C (sample_data_pretrained.xlsx):</b> Annotated sample dataset manually screened according to inclusion and exclusion criteria.…”

MMRT Main test screen. by Pedro C. Martínez-Suárez (21192459)

Memory monitoring recognition test workflow. by Pedro C. Martínez-Suárez (21192459)

Voice recognition workflow. by Pedro C. Martínez-Suárez (21192459)

Memory monitoring recognition test main screen. by Pedro C. Martínez-Suárez (21192459)

Task descriptions. by Pedro C. Martínez-Suárez (21192459)