Videofluoroscopic swallowing study predicts clinical outcomes in critically Ill children with dysphagia: a retrospective observational study by Yoonju Na, Jaeyoung Choi, Jihong Choi, Su Mi Oh, Hyuna Jang, Suein Choi, Joongbum Cho, Jeong-Yi Kwon

“…It suggests that VFSS findings, such as silent aspiration, can aid in predicting patient outcomes, including LOS and the delay in oral feeding.…”
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Evolution of the “Production-Living-Ecological” space of urban trituration and its prediction of carbon mitigation potential–The case of Xi’an by Jinzhao Song, Jie Lei, Peijia Wang

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Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China by Yaling Xiao, Rangjiao Liu, Shaobo Wang, Yuxiang Wang, Weimin Miao, Meiwei Chen, Xiaowen Liu, Yan Chen, Yongchun Wen, Zhongping Deng, Lizhong Dai, Zenghui Mao, Jun He

“…This article explores methods to predict the risks of high-grade precancerous cervical lesions based on high-risk HPV typing. …”
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Assessing the reliability of laboratory test procedures for predicting concrete field performance against alkali-aggregate reaction (AAR) by Ana Bergmann, Leandro F.M. Sanchez

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Applying social cognitive theory to predict physical activity and dietary behavior among patients with type-2 diabetes by Ann Tresa Sebastian, Eslavath Rajkumar, P Tejaswini, R Lakshmi, J Romate

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Development of a nomogram for predicting early visual acuity outcomes and reoperation rate in patients with open globe injury by Luqian Yang, Shuming Ji, Yan Zhao, Yue Song, Xueni Liu, Hongpei Ji

“…Abstract Objective We aimed to investigate the occurrence and factors influencing early visual acuity (VA) outcomes and reoperation rates in patients with open globe injuries (OGI) and develop a nomogram for predicting early visual acuity outcomes and reoperation rate. …”
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Prediction of the Influential Factors on Eating Behaviors: A Hybrid Model of Structural Equation Modelling-Artificial Neural Networks by Maryam M. Kheirollahpour, Mahmoud M. Danaee, Amir Faisal A. F. Merican, Asma Ahmad A. A. Shariff

“…However, in reality, the presence of nonlinearity among these factors causes a bias in the prediction models. The aim of this study was to explore the potential of a hybrid model to predict the eating behaviors. …”
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Short-Term Traffic Flow Prediction of Expressway: A Hybrid Method Based on Singular Spectrum Analysis Decomposition by Chunyan Shuai, Zhengyang Pan, Lun Gao, HongWu Zuo

“…Real-time expressway traffic flow prediction is always an important research field of intelligent transportation, which is conducive to inducing and managing traffic flow in case of congestion. …”
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Clean-Room Air Conditioning Control Based on Improved Min-Max Robust Model Predictive Control Algorithm by Qiang Luo, Ting Wang

“…The Min-Max robust model predictive control algorithm was 0.73 at the lowest and 4.3 at the highest. …”
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A Hybrid LSTM-Based Ensemble Learning Approach for China Coastal Bulk Coal Freight Index Prediction by Wei Xiao, Chuan Xu, Hongling Liu, Xiaobo Liu

“…And in daily, weekly, and monthly forecasting cases, the LSMT-EL approaches have higher prediction accuracy and a greater trend complying ratio than the relevant single ensemble learning algorithm. …”
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Predictive Factors for Access-Site Pain Chronicity after Percutaneous Coronary Intervention via Radial Artery Access by Liuda Brogiene, Giedre Baksyte, Agne Klimaite, Martynas Paliokas, Andrius Macas

“…The aim of this study is to assess the prevalence and predictive factors for developing chronic access-site (A-S) pain after percutaneous coronary intervention (PCI) via radial artery access. …”
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K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles by Jin Sung Kim, Ying Shuai Quan, Chung Choo Chung, Woo Young Choi

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A Hybrid Model for Prediction in Asphalt Pavement Performance Based on Support Vector Machine and Grey Relation Analysis by Xuancang Wang, Jing Zhao, Qiqi Li, Naren Fang, Peicheng Wang, Longting Ding, Shanqiang Li

“…Pavement performance prediction is a crucial issue in big data maintenance. …”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…Accurately predicting key engineering properties, such as compressive and tensile strength, remains a significant challenge in high-performance concrete (HPC) due to its complex and heterogeneous composition. …”
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Generalisation of EEG-Based Pain Biomarker Classification for Predicting Central Neuropathic Pain in Subacute Spinal Cord Injury by Keri Anderson, Sebastian Stein, Ho Suen, Mariel Purcell, Maurizio Belci, Euan McCaughey, Ronali McLean, Aye Khine, Aleksandra Vuckovic

“…<b>Conclusions:</b> An SVM classifier with HFD features showed the best robustness, and normalisation improved the accuracy of predicting future neuropathic pain well above the chance level.…”
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Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data. by Chunjie She, Hefeng Liu

“…The objective of this study was to develop and validate a nomogram for the prediction of osteoporosis risk in patients with CKD.…”
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A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network by Ming Jiang, Zhiwei Liu, Yan Xu

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Landslide Susceptibility Zonation Mapping Using Machine Learning Algorithms and Statistical Prediction at Hunza Watershed Basin, Pakistan by A. Khan, G. Khan, M. Minhas, S. A. Hussain Gardezi, J. Ahmed and N. Abbas

Subjects: “…seed cell area index, intuitionistic fuzzy divergence karakoram highway, susceptibility mapping, prediction rate curve…”
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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by RAHMAT, Munirul ula, Zara Yunizar

“…This study evaluates the effectiveness of Gated Recurrent Units (GRU) and Double Moving Average (DMA) in predicting USDT (Tether Coin) prices using historical data from 2017 to 2024, sourced from Investing.com. …”
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Kinetic pH Titration to Predict the Acid and Hydrothermal Conditions for the Hydrolysis of Disaccharides: Use of a Microcapillary System by Toshinori Shimanouchi, Ryota Mano, Yu Yoshioka, Ayaka Fukuda, Kyung-Min Park, Yukitaka Kimura

“…Finally, the calculation of the electron density around the oxygen atom of the glycosidic bond between saccharides was found to roughly predict the pHamb value required for the progression of hydrolysis.…”
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