Numerical Modeling of Unsteady Cavitating Flows around a Stationary Hydrofoil by Antoine Ducoin, Biao Huang, Yin Lu Young

“…The objective of this paper is to evaluate the predictive capability of three popular transport equation-based cavitation models for the simulations of partial sheet cavitation and unsteady sheet/cloud cavitating flows around a stationary NACA66 hydrofoil. …”
Get full text

DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation by Mingxin Gan, Hang Zhang

“…In addition, we further explore the relative importance of various item metadata information on improving the rating prediction performance towards personalized product recommendation, which is extremely valuable for feature extraction in practice.…”
Get full text

A Novel Continuous Fracture Network Model: Formation Mechanism, Numerical Simulation, and Field Application by Zixi Guo, Jinzhou Zhao, Xinhao Sun, Chengwang Wang, Dali Guo, Haoran Hu, Hongna Wang, Qinggang Zeng

“…Compared with the traditional Meyer software, the average error of prediction was reduced by 7.86%.…”
Get full text

Elucidating genetic intersections: Co-differentially expressed genes in myasthenia gravis and idiopathic inflammatory myopathies and their role in comorbid pathogenesis by Wenqu Yang, Feng Liang

“…The nomogram model, incorporating three of these co-DEGs, showed high predictive accuracy for MG with IIM complications, with an area under the ROC curve of 0.94. …”
Get full text

Using Improved XGBoost Algorithm to Obtain Modified Atmospheric Refractive Index by Yanbo Mai, Zheng Sheng, Hanqing Shi, Qixiang Liao

“…Finally, the mean absolute percentage error (MAPE) and root mean-squared error (RMSE) are used as evaluation criteria to compare the prediction results of improved XGBoost algorithm with backpropagation (BP) neural network and traditional XGBoost algorithm. …”
Get full text

Analysis Method for Ground Settlement Induced by Ultra-Deep Excavation in Hangzhou Soft Clay Considering Time-Space Effect by XIONG Yifan, YING Hongwei, ZHANG Jinhong, CHENG Kang, LI Binghe

“…Finally, a rapid approach was proposed for predicting ground settlements while accounting for the temporal and spatial influences. …”
Get full text

In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability by Azhar Ali Khaked, Nobuyuki Oishi, Daniel Roggen, Paula Lago

“…Deep learning (DL)-based Human Activity Recognition (HAR) using wearable inertial measurement unit (IMU) sensors can revolutionize continuous health monitoring and early disease prediction. However, most DL HAR models are untested in their robustness to real-world variability, as they are trained on limited lab-controlled data. …”
Get full text

Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study by Kanthida Kusonmano, Michael Netzer, Christian Baumgartner, Matthias Dehmer, Klaus R. Liedl, Armin Graber

“…Guidelines are derived to identify an optimal pooling scheme for obtaining adequate predictive power and, hence, to motivate a study design that meets best experimental objectives and budgetary conditions, including time constraints.…”
Get full text

Genome Stability Pathways in Head and Neck Cancers by Glenn Jenkins, Kenneth J. O'Byrne, Benedict Panizza, Derek J. Richard

“…Targeted inhibition of signalling receptors has proven to be a clinically-validated therapy, and protein expression of other DNA repair and signalling molecules associated with cancer behaviour could potentially provide a more refined clinical model for prognosis and treatment prediction. Development and expansion of current genomic stability models is furthering our understanding of HNSCC pathophysiology and uncovering new, promising treatment strategies.…”
Get full text

Spelling correction with large language models to reduce measurement error in open-ended survey responses by Maxwell B. Allamong, Jongwoo Jeong, Paul M. Kellstedt

“…Then, to highlight the potential benefits and limitations of spelling correction we show improved out-of-sample prediction accuracy from a text-based machine learning classifier. …”
Get full text

A chromosome-level genome assembly of wild silkmoth, Bombyx mandarina by Jung Lee, Takashi Kiuchi, Katsushi Yamaguchi, Shuji Shigenobu, Atsushi Toyoda, Toru Shimada

“…., transcriptome-based gene prediction, Assay for Transposase-Accessible Chromatin (ATAC)-seq, and PIWI-interacting RNA (piRNA)-targeted small RNA-seq. …”
Get full text

Computational Perspectives into Plasmepsins Structure—Function Relationship: Implications to Inhibitors Design by Alejandro Gil L., Pedro A. Valiente, Pedro G. Pascutti, Tirso Pons

“…The high structural flexibility of plasmepsins, revealed by their X-ray structures and molecular dynamics simulations, made even more complicated the prediction of putative binding modes, and therefore, the use of common computational tools, like docking and free-energy calculations. …”
Get full text

Numerical Simulation of Helicopter Rotor Performance Degradation in Natural Rain Encounter by Guozhi Li, Yihua Cao

“…In this article, in order to quickly understand the influence of rainfall aiming at the engineering application, an approach to predict helicopter rotor performance degradation in heavy rain encounters is presented. …”
Get full text

A Rare Case of Meconium Periorchitis Diagnosed in Utero by Daigo Ochiai, Sayu Omori, Toshiyuki Ikeda, Kazumi Yakubo, Tatsuro Fukuiya

“…To date, clinical significance of meconium periorchitis for the prenatal diagnosis of meconium peritonitis and prediction for postnatal surgery remains to be determined. …”
Get full text

Analysis and Discussion of Atmospheric Precursor of European Heat Summers by Christine Träger-Chatterjee, Richard W. Müller, Jörg Bendix

“…The prediction of summers with notable droughts and heatwaves on the seasonal scale is challenging, especially in extratropical regions, since their development is not yet fully understood. …”
Get full text

Using EEG technology to enhance performance measurement in physical education by Zhaofeng Zhai, Zhaofeng Zhai, Lu Han, Wei Zhang

“…APEO combines biomechanical modeling, engagement prediction through recurrent neural networks, and reinforcement learning to tailor physical activity interventions. …”
Get full text

Recapitulation of previously reported associations for type 2 diabetes and metabolic traits in the 126K East Asians by Ji-Young Choi, Hye-Mi Jang, Sohee Han, Mi Yeong Hwang, Bong-Jo Kim, Young Jin Kim

“…However, previous GWAS were mostly conducted in European populations, and these biased results for non-Europeans may result in a significant reduction in risk prediction for non-Europeans. An issue with the early GWAS was the winner’s curse problem, which led to misleading results when constructing the polygenic risk scores (PRS). …”
Get full text

Quality Indexes Design for Online Monitoring Polymer Injection Molding by Jian-Yu Chen, Chien-Chou Tseng, Ming-Shyan Huang

“…Also, various quality indexes for online quality monitoring and prediction purposes based on the pressure, viscosity, and energy features extracted from the pressure profiles obtained at the load cell, nozzle, and molding cavity, respectively, are compared. …”
Get full text

Pore Structure and Permeability Variations during Gas Displacement in Unconsolidated Sandstone Reservoirs through CT Reconstruction Analysis by Yuqiang Zha, Bao Cao, Fengying Li, Qing Ye, Shaopeng Zhu, Wei Zhou, Runfu Xiong

“…These investigations will contribute to more accurate reserve evaluation and productivity prediction.…”
Get full text

Investigating the Relationship between Screen Time and Green Time with Academic Engagement and Academic Performance by Davod Ghaderi, Omid Ebrahimi Shahed

“…Objective: This study investigated the relationship between screen time and green time with academic engagement and academic performance of secondary school students in Tabriz city.Methods: The present study was part of cross-sectional and descriptive studies of the correlation and prediction type. Three hundred eighty-five people from Tabriz secondary school students were selected in the first semester of the 2022-2023 academic year by multi-stage cluster sampling based on Morgan's table. …”
Get full text