Can One Predict Coronal Mass Ejection Arrival Times With Thirty‐Minute Accuracy? by Gábor Tóth, Bart van derHolst, Ward Manchester IV

“…We also show that the probability of getting these accurate arrival time predictions with a model with a standard deviation exceeding 2 hr is less than 0.1%, indicating that these results cannot be due to random chance. …”
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Harnessing Electronic Health Records and Artificial Intelligence for Enhanced Cardiovascular Risk Prediction: A Comprehensive Review by Ming‐Lung Tsai, Kuan‐Fu Chen, Pei‐Chun Chen

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Improving ENSO Prediction at Longer Lead Times: Role of Off‐Equatorial South Pacific Heat Content by Guang Yang, Yishuai Jin, Yingying Zhao, Emanuele Di Lorenzo, Michael J. McPhaden, Xiaopei Lin

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Predicting the Distribution of Mesophotic Coral Ecosystems in the Chagos Archipelago by Clara Diaz, Kerry L. Howell, Kyran P. Graves, Adam Bolton, Phil Hosegood, Edward Robinson, Nicola L. Foster

“…Using maximum entropy modelling, all models resulted in excellent (> 0.9) performances, for AUC and threshold‐dependent metrics, predicting extensive and previously undocumented MCEs across the entire Archipelago with, however, differences in the predicted extent between the high‐ and low‐resolution models. …”
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Comprehensive Assessment of Indoor Thermal in Vernacular Building Using Machine Learning Model with GAN-Based Data Imputation: A Case of Aceh Region, Indonesia by Muslimsyah Muslimsyah, Safwan Safwan, Andri Novandri

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How spatial scales enhance prediction: an interpretable multi-scale framework for bike-sharing demand prediction by Jiasong Zhu, Jingbiao Chen, Mingxiao Li, Wei Tu

Subjects: “…Bike-sharing demand prediction…”
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Predictive value and risk factors of embryo implantation site for placenta previa by KUANG Na, HE Wenjiao, XIONG Xi

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Assessing the ecological risk and its driving forces on Islands using the Pressure-State-Response model by Meina Xu, Xiaochen Huang, Jiajun Li, Shaojun Qi, Ye Zhang, Xiaojie Zhang

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Non-Linear Prediction Model for the Strength of Medium-to-Low-Grade Phosphate Tailings Cemented Backfill by Weizhong Zhang, Menglai Wang, Shujian Li, Yuandi Xia, Qinrong Kang

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Modeling accumulated degree-days for the invasive aquatic plant Oxycaryum cubense in the southeastern United States by Allison C. Squires, Gray Turnage, Ryan M. Wersal, Christopher R. Mudge, Benjamin P. Sperry

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Development and Validation of a Diagnostic Nomogram Model for Predicting Cognitive Frailty in Acute Coronary Syndrome by Wang S, Sun Y, Tang W, Lu S, Feng F, Hou X, Ma L, Li R, Hu J, Liu B, Xing Y

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Low prognostic nutritional index predicts poor outcome in newly diagnosed angioimmunoblastic T-cell lymphoma by Renqin Li, Wei Zhang, Le Yu, Ping Wu, He Huang, Hongqiang Guo, Tongyu Lin, Tongyu Lin, Huangming Hong, Huawei Weng

“…We further integrated PNI into the IPI and PIT prognostic models, and the predictive accuracy of both models was significantly improved.ConclusionPNI is a simple and easily accessible prognostic indicator for AITL.…”
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Optimization of TCN-BiLSTM for dissolved oxygen prediction based on improved sparrow search algorithm by Pei Shi, Mingjie Tang, Quan Wang, Xiaofei Ma

Subjects: “…Dissolved oxygen prediction…”
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Predicted and final tooth position assessment following indirect bonding planned by a digital system by Fernando César MOREIRA, Helder Baldi JACOB, Guilherme dos Reis Pereira JANSON, Daniela Gamba GARIB

“…Methods: Digital models of the setup (Predicted) and the treated (Treated) groups of 23 subjects with Class I malocclusion were obtained. …”
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…Detailed analysis, utilizing the Taylor Diagram and performance metrics, confirmed that SVR and CatBoost models achieved the highest accuracy in predicting CO2 adsorption. …”
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A Comprehensive Study of Deep Learning Approaches for Predicting Reciprocal Traffic Dynamics and Climate Variability by Abrar Ali, Wadhah R. Baiee

“…Climate variability integrated into traffic models increases the prediction of long-term traffic trends by 12%, justifying the significance of the influence of climate factors in traffic management systems …”
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Development and evaluations of equations to predict empty body weight in pre-weaned hair sheep lambs by C. Jardines-Pozos, R. Salazar-Cuytun, J. Oliva-Hernández, R.J. Leon, R.A. Garcia-Herrera, J.C. Escobar-España, A.L.C. Gurgel, J.C.S. Santana, L.C.V. Ítavo, T.P. Dias-Silva, A.J. Chay-Canul

“…ABSTRACT This research aimed to assess the relationships among shrunk body weight (SBW) and empty body weight (EBW) to develop equations to estimate EBW in 121 pre-weaned hair sheep lambs from different genotypes (Pelibuey, n=39; Katahdin, n=27 and crossbred Pelibuey × Black Belly, n=55), sex (non-castrated male, n=65 and female, n=56) and litter size (single, n=42 and double, n=79). Linear model with intercept, Linear model without intercept and exponential regression models were used for data analysis. …”
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A machine learning–based risk prediction model for atrial fibrillation in critically ill patients by Laith Alomari, MD, Yaman Jarrar, MD, Zaid Al-Fakhouri, MD, Emmanuel Otabor, MBBS, Justin Lam, MD, Jana Alomari

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A machine learning framework for predicting healthcare utilization and risk factors by Yead Rahman, Prerna Dua

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Development and clinical application of an automated machine learning-based delirium risk prediction model for emergency polytrauma patients by Zhenyi Liu, Yihao Huang, Long Li, Yisha Xu, Peng Wu, Zhigang Zhang, Tingyong Han, Liangjie Zhang, Ming Zhang

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