Time domain diagram of speech signal. حسب Li Jiashen (20552690)

"…The algorithm enhances the traditional Stockwell transform (S-transform) by incorporating a low-pass filtering function and introducing two adjustable parameters. …"

Behavioral results. حسب Sam Hall-McMaster (10343795)

Decoding results. حسب Sam Hall-McMaster (10343795)

Evolution of the rescaled hydraulic diameter () and complexity () in both simulations and seal tomograms as a function of simulation timestep and relative age (). حسب Jonathan E Kings (20818367)

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"

The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"

Selected optimal solutions from the QLNSGA-II algorithm. حسب Zhongfeng Li (3965060)

Subject characteristics. حسب Dominique Vincent-Genod (20552594)

"…<div><p>Among the 32 items of the Motor Function Measure scale, 3 concern the assessment of hand function on a paper-based support. …"

Research data. حسب Dominique Vincent-Genod (20552594)

"…<div><p>Among the 32 items of the Motor Function Measure scale, 3 concern the assessment of hand function on a paper-based support. …"

The data for Example 5 are sampled from the peaks function. حسب Yushi Liu (173457)

Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model. حسب Turgay Şengül (12801990)

"…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model.…"

Data Sheet 1_A modified A* algorithm combining remote sensing technique to collect representative samples from unmanned surface vehicles.docx حسب Lei Wang (6656)

"…This study proposed a modified A* algorithm that combined remote sensing technique while considering both path length and the representativeness of collected samples. …"

Visual comparison of the resulting tractograms. From top to bottom line: iFOD2, PTT, iFOD2 with prior, PTT with prior, iFOD2 with BST priors and PTT with BST priors. حسب Thomas Durantel (20933812)

The impact of extrinsic noise sources on the measured SNR is plotted for both CW and TG against varying optical filter magnitudes. حسب Nicholas H. Vitale (20469289)

Raw data of Cell experiments. حسب Jie Chu (293795)

"…The characteristics of the immune microenvironment were assessed using the CIBERSORT R package. Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…"

GSEA analysis. حسب Jie Chu (293795)

"…The characteristics of the immune microenvironment were assessed using the CIBERSORT R package. Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…"

Baseline data table. حسب Jie Chu (293795)

"…The characteristics of the immune microenvironment were assessed using the CIBERSORT R package. Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…"

KEGG analysis. حسب Jie Chu (293795)

"…The characteristics of the immune microenvironment were assessed using the CIBERSORT R package. Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…"

Analysis process. حسب Jie Chu (293795)

"…The characteristics of the immune microenvironment were assessed using the CIBERSORT R package. Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…"

Ablation comparison experimental data. حسب Tengfei Ma (597633)

"…Specifically, it achieves faster iteration speeds across four different environments, with the planned path length after escaping local optima being shortened by an average of 7.55175 m (16.291%) compared to other optimization algorithms. These results confirm OP-ZOA’s enhanced optimization capability, significantly improving both escape efficiency from local optima and solution reliability.…"