Table 3_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب 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 1_Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions.docx حسب 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.…"

Is There a Universal Dimensionality Reduction Technique for Feature Extraction? – A Comparative Analysis حسب Anandkumar Balasubramaniam (22474380)

"…<p>The demand for high-dimensional data processing in machine learning has led to the increasing use of dimensionality reduction techniques. …"

Table 2_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.xlsx حسب Hongxing Zhang (209372)

"…A panel of 101 machine learning algorithms was employed to screen diagnostic genes, with ROC curves used for validation. …"

Image 2_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.tif حسب Siyu Tong (12905585)

"…</p>Methods<p>We identified BC differentially expressed genes via the GEO database, constructed a weighted co-expression network to determine BC pathogenesis-related key modules. Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"

Image 3_The osteosarcoma immune microenvironment in progression: PLEK as a prognostic biomarker and therapeutic target.tif حسب Yunpeng Zou (3723007)

"…</p>Methods<p>We conducted differential expression and survival analyses using OS transcriptomic datasets and TCGA/GTEx data. …"

Table 3_Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence.xl... حسب Xiaoyin Wu (15279940)

"…Single-cell RNA sequence data was used to identify cell subtypes and interactive signals. …"

Image 2_The osteosarcoma immune microenvironment in progression: PLEK as a prognostic biomarker and therapeutic target.tif حسب Yunpeng Zou (3723007)

"…</p>Methods<p>We conducted differential expression and survival analyses using OS transcriptomic datasets and TCGA/GTEx data. …"

Image 4_The osteosarcoma immune microenvironment in progression: PLEK as a prognostic biomarker and therapeutic target.tif حسب Yunpeng Zou (3723007)

"…</p>Methods<p>We conducted differential expression and survival analyses using OS transcriptomic datasets and TCGA/GTEx data. …"

Table 10_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx حسب Shengjie Xiong (21216725)

"…Protein-protein interaction (PPI) network analysis and intersection of four algorithms were used to identify key candidate genes. …"

Table 4_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx حسب Shengjie Xiong (21216725)

"…Protein-protein interaction (PPI) network analysis and intersection of four algorithms were used to identify key candidate genes. …"

Table 3_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx حسب Siyu Tong (12905585)

"…</p>Methods<p>We identified BC differentially expressed genes via the GEO database, constructed a weighted co-expression network to determine BC pathogenesis-related key modules. Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"

Image 5_The osteosarcoma immune microenvironment in progression: PLEK as a prognostic biomarker and therapeutic target.tif حسب Yunpeng Zou (3723007)

"…</p>Methods<p>We conducted differential expression and survival analyses using OS transcriptomic datasets and TCGA/GTEx data. …"

Image 1_The osteosarcoma immune microenvironment in progression: PLEK as a prognostic biomarker and therapeutic target.tif حسب Yunpeng Zou (3723007)

"…</p>Methods<p>We conducted differential expression and survival analyses using OS transcriptomic datasets and TCGA/GTEx data. …"

Table 6_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx حسب Shengjie Xiong (21216725)

"…Protein-protein interaction (PPI) network analysis and intersection of four algorithms were used to identify key candidate genes. …"

Table 1_Older people and stroke: a machine learning approach to personalize the rehabilitation of gait.docx حسب Elvira Maranesi (8839496)

"…Gait analysis was conducted using the GaitRite system, measuring 39 spatio-temporal parameters.…"

A dataset mapping the temperate savanna in Northeastern China (2022) حسب Xiaoya Li (19531363)

"…</p><p dir="ltr">We develop a new temperate savanna identification method for mapping the temperate savanna in Northeastern China within a minimum identifiable area of 5000 m² by integrating Unmanned Aerial Vehicle(UAV) imagery with high-resolution satellite imagery of Sentinel-1 and Sentinel-2 by using Random Forest regression and Classification and Regression Tree algorithms. …"

Table 2_Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence.xl... حسب Xiaoyin Wu (15279940)

"…Single-cell RNA sequence data was used to identify cell subtypes and interactive signals. …"

Table 1_Predicting the risk of postoperative avascular necrosis in patients with talar fractures based on an interpretable machine learning model.docx حسب Jian Zhang (1682)

"…Six machine learning algorithms were employed to construct the prediction models. …"

Table 1_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx حسب Siyu Tong (12905585)

"…</p>Methods<p>We identified BC differentially expressed genes via the GEO database, constructed a weighted co-expression network to determine BC pathogenesis-related key modules. Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …"