Comparison of anterior chamber depth measured by three different anterior segment analysis systems by Han Song, Wei Yang, Chunliu Yang, Qing Sun

“…Bland-Altman scatter plots were generated using MedCalc software, with 95 % limits of agreement applied to assess consistency among the datasets. Results: The mean anterior chamber depth (ACD) measured by the Pentacam, Sirius, and IOLMaster 700 was found to be 3.26 ± 0.26 mm, 3.30 ± 0.26 mm and 3.22 ± 0.25 mm, respectively. …”
Get full text

Causal Links Between Brain Functional Networks and Endometriosis: A Large-Scale Genetic-Driven Observational Study by Feng S, Wang Y, Liu S, Zhang Y, He L

“…This study aims to explore these relationships using Mendelian Randomization (MR) analysis.Methods: Data from 191 resting-state functional MRI (rsfMRI) phenotypes and endometriosis genetic datasets were analyzed using both forward and reverse MR approaches. …”
Get full text

Lipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization study by Qun Wang, Yuan Cao, Lianqun Jia

“…Methods A two-sample MR framework was used to investigate the relationship between lipid metabolites and the risk of coronary atherosclerosis. Two GWAS datasets were examined to take intersections of SNPs from 51,589 cases and 343,079 controls, and 14,334 cases and 346,860 controls to determine genetic susceptibility to coronary atherosclerosis. …”
Get full text

Meta-analysis of microarray and RNAseq data reveal OsbZIP52 to mediate salt stress responses in sensitive, tolerant and halophyte rice varieties by Dipankor Chatterjee, Mohammad Umer Sharif Shohan, Nishat Tamanna, Zeba I. Seraj

“…We performed a meta-analysis to screen out candidate genes using stress-related three microarray and one RNASeq datasets from NCBI. As different genotypes of rice and different salinity stress conditions were considered in our analysis, the sensitivity of the results is expected to be multi-fold higher. …”
Get full text

Muscle Architecture of Leg Muscles: Functional and Clinical Significance by Gurpreet Kaur, Rekha Lalwani, Manal M. Khan, Sunita A Athavale

“…There is a paucity of these datasets, especially in the leg muscles. Methods. Sixty muscles of the anterior and lateral compartments from twelve formalin-fixed lower limbs were studied for gross architecture, including the peculiar fibre arrangements and architectural properties of muscles. …”
Get full text

Target miRNA identification for the LPL gene in large yellow croaker (Larimichthys crocea) by Kalim Ullah, Aslam Hossain, Mingyue Cao, Liangyi Xue, Yajun Wang

“…The bioinformatics analysis facilitated the compilation and examination of miRNA datasets specific to these tissues. The investigation culminated in the identification of miR-84a and miR-1231-5p as key miRNAs that modulate fat hydrolysis, highlighting their potential roles in lipid metabolism. …”
Get full text

SLG-Net: Small-Large-Global Feature-Based Multilevel Feature Extraction Network for Ultrasound Image Segmentation by Xinya Fan, Jianwen Hu, Kai Hu

“…Experiments on three public ultrasound datasets indicate that the proposed network accomplishes the prominent performance for ultrasound image segmentation. …”
Get full text

A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction by Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo

“…To verify the effectiveness of the EPNN, we adopt two benchmark datasets in our experiments. The experimental results reveal that the EPNN outperforms the Multilayer Perceptron (MLP) model and our previously developed preliminary pruning neural network (PNN) model in terms of accuracy, convergence speed, and Area Under the Receiver Operating Characteristics (ROC) curve (AUC). …”
Get full text

Investigating the intrinsic top-down dynamics of deep generative models by Lorenzo Tausani, Alberto Testolin, Marco Zorzi

“…To this end, we train iDBN models on well-known datasets containing handwritten digits and pictures of human faces, and show that the ability to generate diverse data prototypes can be enhanced by initializing top-down sampling from “chimera states”, which represent high-level features combining multiple abstract representations of the sensory data. …”
Get full text

A 40-year remote sensing analysis of spatiotemporal temperature and rainfall patterns in Senegal by Catherine Nakalembe, Diana B. Frimpong, Hannah Kerner, Mamadou Adama Sarr

“…We combined CHIRPS precipitation data and ERA5-Land reanalysis datasets for remote sensing analysis and used the Mann–Kendall and Sen's Slope statistical tests for trend detection. …”
Get full text

Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach by Rayees Ahamad, Kamta Nath Mishra

“…The proposed model shows higher accuracy (more than 90% in all cases) on standard bench mark datasets of Twitter, Kaggle, IAM, and Amazon reviews etc. …”
Get full text

Fall detection method based on spatio-temporal coordinate attention for high-resolution networks by Xiaorui Zhang, Qijian Xie, Wei Sun, Ting Wang

“…Experimental results on three typical public datasets show that the proposed method can better extract motion features and improve the accuracy of fall detection.…”
Get full text

Interacting Large Language Model Agents Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…Throughout the paper, we numerically demonstrate the effectiveness of our methods on real datasets for hate speech classification and product quality assessment, using open-source models like LLaMA and Mistral and closed-source models like ChatGPT. …”
Get full text

Simulation-based validation of a method to detect changes in SARS-CoV-2 reinfection risk. by Belinda Lombard, Harry Moultrie, Juliet R C Pulliam, Cari van Schalkwyk

“…To assess the performance of the catalytic model, we simulated reinfection datasets that incorporated different processes that may bias inference, including imperfect observation and mortality. …”
Get full text

A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

“…The DFD model achieves superior performance on eight public NASA and PROMISE datasets (six of which are imbalanced) across five performance indicators, including area under the curve (AUC), geometric mean (G-Mean), F1 score, Matthews correlation coefficient (MCC), and Balance. …”
Get full text

A Hierarchical Local-Sparse Model for Semantic Change Detection in Remote Sensing Imagery by Fachuan He, Hao Chen, Shuting Yang, Zhixiang Guo

“…HLSNet achieves the highest accuracy on the two commonly used SCD datasets, SECOND, and Landsat-SCD, with <inline-formula><tex-math notation="LaTeX">${{F}_{\text {scd}}}$</tex-math></inline-formula> values reaching 62.53&#x0025; and 91.67&#x0025;, respectively.…”
Get full text

Machine learning insights into early mortality risks for small cell lung cancer patients post-chemotherapy by Min Liang, Min Liang, Fuyuan Luo

“…It outperformed comparative models across all datasets, as evidenced by its AUC, KS score, calibration, and DCA results. …”
Get full text

GBS-DP: a bioinformatics pipeline for processing data coming from genotyping by sequencing by A. Y. Pronozin, E. A. Salina, D. A. Afonnikov

“…Our pipeline is able to perform analysis of large datasets (more than 400 samples).…”
Get full text

Soft-Label Supervised Meta-Model with Adversarial Samples for Uncertainty Quantification by Kyle Lucke, Aleksandar Vakanski, Min Xian

“…In addition, a novel training framework using adversarial samples is proposed to explore the decision boundary of the base model and mitigate issues related to training datasets with label imbalance. To validate the effectiveness of our approach, we use two predictive models trained on SVHN and CIFAR10 and evaluate performance according to sensitivity, specificity, an F1-score-style metric, average precision, and the Area Under the Receiver Operating Characteristic curve. …”
Get full text

Integrated Single-Cell and RNA Sequencing Analysis Identifies Key Immune Cell and Dendritic Cells Associated Genes Participated in Myocarditis by Qiang Gong, Jianfeng Huang, Qicai Wu

“…Gene expressions merged from GSE35182 and GSE35182 datasets were subjected to differential expression gene (DEG) analysis and PPI network construction. …”
Get full text