High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization حسب Stephanos Karafiludis (12902591)

"…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…"

High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization حسب Stephanos Karafiludis (12902591)

"…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…"

Statistical analysis of DGEP vs. standard GEP. حسب Kejia Liu (5699651)

"…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …"

High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization حسب Stephanos Karafiludis (12902591)

"…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…"

RNA sequencing analysis and screening of anoikis-related signature genes. حسب Yanfeng Xue (465345)

<b>Supplementary material for "Modified nonlocal strain gradient theory for static bending, free vibration and buckling analysis of functionally graded piezoelectric nanoplates"</b... حسب Phạm Văn Vinh (19543726)

"…Both nonlocal (softening) and strain gradient (hardening) effects are considered simultaneously in this novel theory. …"

Schematic representation of selected data from the Allen Institute dataset. حسب Saeed Mohammadzadeh (13492285)

Application of explainable clustering on cell features for unsupervised organization scoring. حسب Saeed Mohammadzadeh (13492285)

This figure presents the performance of a Support Vector Regression (SVR) model on predicting cellular structural organization scores. حسب Saeed Mohammadzadeh (13492285)

Data Sheet 1_A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning.pdf حسب Congyang Li (10012877)

"…Objective<p>Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ankle fracture surgery using various machine learning algorithms to facilitate early identification of high-risk patients.…"

Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline حسب Fenglin Tian (6002957)

"…This study presents an interactive visualization algorithm designed for the spatio-temporal correlated ocean unsteady flow field utilizing dynamic adaptive pathlines. …"

Monthly averages of ED2 model simulations initialised with airborne lidar structure, Jan 1981-Dec 2018, Brazilian Amazon حسب Marcos Longo (1928929)

"…Sub-grid information include data aggregated by plant functional type, by plant size, by disturbance history, and by edaphic characteristics (soil texture or soil depth).…"

ProSAAS is expressed in multiple cell types in a mixed species meta-analysis. حسب Nicholas Schaffer (21376843)

Enrichment results of gly-DEGs. حسب Ziyang Liu (242055)

Table 1_White matter hyperintensity burden and infarct volume predict functional outcomes in anterior choroidal artery stroke: a multimodal MRI study.docx حسب Weiwei Gao (51947)

"…</p>Conclusion<p>In patients with AChA territory infarction, both WMH burden and infarct volume can independently predict functional outcomes at 90 days. …"

Table 2_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.xlsx حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 3_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 1_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 2_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"

Image 7_A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer.tif حسب Hanzhang Lyu (22163404)

"…</p>Results<p>Plexin-A3 (PLXNA3) emerged as a top risk gene within the ensemble model, which achieved strong predictive performance, surpassing conventional clinical indicators. …"