Table 1_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx حسب Zixiang Li (7014416)

"…</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …"

Table 7_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx حسب Ting Wu (106368)

"…This study aimed to investigate the molecular mechanisms underlying cell and metabolic reprogramming biomarkers in ARDS.</p>Methods<p>Using transcriptomic data from whole blood samples, candidate genes were identified through differential expression analysis and weighted gene co-expression network analysis (WGCNA) in conjunction with MRRGs. …"

Image 1_Integrated analysis of N-glycosylation and Alzheimer’s disease: identifying key biomarkers and mechanisms.tif حسب Hao Zhang (15339)

"…</p>Methods<p>A bibliometric analysis of Web of Science literature spanning 2001–2025 was performed using VOSviewer, CiteSpace, and R. Transcriptomic data were analyzed with LIMMA to identify DEGs. …"

Supplementary file 1_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx حسب Zixiang Li (7014416)

"…</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …"

Table 2_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx حسب Zixiang Li (7014416)

"…</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …"

Table 10_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx حسب Ting Wu (106368)

"…This study aimed to investigate the molecular mechanisms underlying cell and metabolic reprogramming biomarkers in ARDS.</p>Methods<p>Using transcriptomic data from whole blood samples, candidate genes were identified through differential expression analysis and weighted gene co-expression network analysis (WGCNA) in conjunction with MRRGs. …"

Table 4_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx حسب Ting Wu (106368)

"…This study aimed to investigate the molecular mechanisms underlying cell and metabolic reprogramming biomarkers in ARDS.</p>Methods<p>Using transcriptomic data from whole blood samples, candidate genes were identified through differential expression analysis and weighted gene co-expression network analysis (WGCNA) in conjunction with MRRGs. …"

An explainable machine learning model in predicting vaginal birth after cesarean section حسب Ming Yang (109148)

"…</p> <p>Models based on ML algorithms can be used to predict VBAC. The CatBoost model showed best performance in this study. …"

Dataset on impacts of land cover and climate change on Indian birds حسب Vishesh L. Diengdoh (10738896)

"…Then, an ensemble of machine learning algorithms - random forest, k-nearest neighbour, artificial neural network, support vector machine, and gradient boosting model - were used to project habitat suitability of each species under present conditions (2015) and future scenarios (2100) under two Shared Socio-economic Pathways (SSP3–7.0 and SSP5–8.5). …"

Peer Review Fundamentals: Enhancing Quality and Integrity in Scholarly Publishing حسب Thaer Al-Jadir (12237572)

"…</li><li>Checklist: clarity of research question, reproducibility of methods, ethical compliance, and data/code availability.</li></ul><h3>6. <b>Use of AI in Peer Review</b></h3><ul><li>AI tools support plagiarism screening, reference checks, and image/data anomaly detection.…"

Processed Dataset for “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism” حسب Lingling Hu (22555691)

"…<p dir="ltr">This dataset contains the anonymized and processed production data used in the study titled “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism,” submitted to <i>Applied Sciences</i>.…"

Image 2_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg حسب Dibash Basukala (20772110)

"…</p>Methods<p>This work used retrospective anonymized breast MRI data (302 patients) from three sites employing three different software utilizing least-squares segmented algorithms and Bayesian fit to estimate 1_st order radiomics of IVIM parameters perfusion fraction (f_p), pseudo-diffusion (D_p) and tissue diffusivity (D_t). …"

Image 4_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg حسب Dibash Basukala (20772110)

"…</p>Methods<p>This work used retrospective anonymized breast MRI data (302 patients) from three sites employing three different software utilizing least-squares segmented algorithms and Bayesian fit to estimate 1_st order radiomics of IVIM parameters perfusion fraction (f_p), pseudo-diffusion (D_p) and tissue diffusivity (D_t). …"

Image 3_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg حسب Dibash Basukala (20772110)

"…</p>Methods<p>This work used retrospective anonymized breast MRI data (302 patients) from three sites employing three different software utilizing least-squares segmented algorithms and Bayesian fit to estimate 1_st order radiomics of IVIM parameters perfusion fraction (f_p), pseudo-diffusion (D_p) and tissue diffusivity (D_t). …"

Image 1_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg حسب Dibash Basukala (20772110)

"…</p>Methods<p>This work used retrospective anonymized breast MRI data (302 patients) from three sites employing three different software utilizing least-squares segmented algorithms and Bayesian fit to estimate 1_st order radiomics of IVIM parameters perfusion fraction (f_p), pseudo-diffusion (D_p) and tissue diffusivity (D_t). …"

Image 5_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg حسب Dibash Basukala (20772110)

"…</p>Methods<p>This work used retrospective anonymized breast MRI data (302 patients) from three sites employing three different software utilizing least-squares segmented algorithms and Bayesian fit to estimate 1_st order radiomics of IVIM parameters perfusion fraction (f_p), pseudo-diffusion (D_p) and tissue diffusivity (D_t). …"

Table 1_Predicting the potential distribution of major marine mammals in the Cosmonaut Sea.docx حسب Yufei Dai (621612)

"…The Cosmonaut Sea, notable for its dynamic sea ice and rich biological activity, remains one of the least explored regions in the Southern Ocean, with limited data on its marine mammal populations. This study conducted during the 38th Chinese National Antarctic Research Expedition (CHINARE) from January to March 2022, collected systematic data on marine mammal occurrences. …"

Table 1_Advances in the application of human-machine collaboration in healthcare: insights from China.docx حسب Wuzhen Wang (20675405)

"…“Human–machine collaboration” is based on an intelligent algorithmic system that utilizes the complementary strengths of humans and machines for data exchange, task allocation, decision making and collaborative work to provide more decision support. …"

Unsupervised machine learning with different sampling strategies and topographic factors for distinguishing between landslide source and runout areas to improve landslide inventory... حسب Jhe-Syuan Lai (19733974)

"…Because of practical challenges associated with the inability to determine whether remote sensing results correspond to landslide sources or runout areas, the first sampling strategy was used to test the feasibility of the adopted algorithms. …"

Table 1_The quintenary influence of industrial wastes on the compressive strength of high-strength geopolymer concrete under different curing regimes for sustainable structures; a... حسب Cesar Garcia (17935273)

"…However, repeated experimental trials costs a huge budget, hence the prediction and validation of the strength behavior of the GPC mixed with some selected industrial wastes. Data gathering and analysis of a total 249 globally representative datasets of a high-strength geopolymer concrete (HSGPC) collected from experimental mix entries has been used in this research work. …"