Table 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Image 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Table 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Table 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Table 3_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx by Rabie Adel El Arab (14113425)

“…</p>Ethical implications<p>Simultaneously, nurses voiced significant ethical concerns—chiefly around safeguarding patient data privacy, mitigating algorithmic bias, and preserving the compassionate, human-centered essence of nursing in an increasingly automated environment.…”

Image 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Image 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tiff by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Table 7_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Table 1_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx by Rabie Adel El Arab (14113425)

“…</p>Ethical implications<p>Simultaneously, nurses voiced significant ethical concerns—chiefly around safeguarding patient data privacy, mitigating algorithmic bias, and preserving the compassionate, human-centered essence of nursing in an increasingly automated environment.…”

Table 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Image 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Image 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …”

Beyond Borders: The Impact of Transnational News Flows on Public Opinion and Geopolitical Narratives by Asmita Roy (21585298)

“…Ultimately, by offering practical insights into the unseen processes influencing global information flows, our research promotes open knowledge.…”

Ensemble learning approach for accurate virtual borehole prediction in 3D geological modeling by Bingning Guo (19800407)

“…<p>The use of virtual drilling technology can effectively accelerate the establishment process of 3D geological models and improve grid structure and visual performance. …”

Supplementary file 1_How perceived discrimination and trust dynamics influence social integration in acculturation and reacculturation: the case of Chinese international student re... by Tam-Tri Le (21374624)

“…</p>Analysis<p>Employing Bayesian analyses aided by Markov Chain Monte Carlo (MCMC) algorithms on survey data of 1,014 Chinese international student returnees, the study examines the multi-layered influences of perceived discrimination and trust (both generalized and personalized) on social integration.…”

Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach by Siqi Jiang (4092664)

“…Eight machine learning algorithms were used, and model performance was evaluated using various metrics. …”

Image 1_Machine learning-driven exploration of therapeutic targets for atrial fibrillation-joint analysis of single-cell and bulk transcriptomes and experimental validation.tif by Yicheng Wang (810922)

“…Background<p>To explore new therapeutic targets and strategies for atrial fibrillation (AF) by analyzing gene expression profiles of AF patients using machine learning techniques combined with transcriptomic data, and to uncover the potential molecular mechanisms underlying AF.…”

Image 2_Machine learning-driven exploration of therapeutic targets for atrial fibrillation-joint analysis of single-cell and bulk transcriptomes and experimental validation.tif by Yicheng Wang (810922)

“…Background<p>To explore new therapeutic targets and strategies for atrial fibrillation (AF) by analyzing gene expression profiles of AF patients using machine learning techniques combined with transcriptomic data, and to uncover the potential molecular mechanisms underlying AF.…”

Table 4_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”

Table 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx by Manyi Zheng (22221913)

“…</p>Methods<p>Our study utilized the Gene Expression Omnibus (GEO) data for SCI-related MDEG identification. Key hub genes were screened using multiple machine learning(ML) algorithms. …”