Numerical Prediction of Fatigue Life for Landing Gear Considering the Shock Absorber Travel by Haihong Tang, Panglun Liu, Jianbin Ding, Jinsong Cheng, Yiyao Jiang, Bingyan Jiang

“…The results of the stress component interpolation and superposition method show that at least five different SATs of the whole MLG’s FEM are needed to effectively convert the fatigue loads into a stress spectrum. The fatigue life prediction results indicate that the minimum lifespan of the MF is 53164 landings, which means that the fatigue life meets the requirement design.…”
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Prediction of China’s Express Business Volume Based on FGM (1, 1) Model by Chunyan Xiong, Liusan Wu

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Evaluation and Prediction Method of Rolling Bearing Performance Degradation Based on Attention-LSTM by Yaping Wang, Chaonan Yang, Di Xu, Jianghua Ge, Wei Cui

“…It is significant for the evaluation and prediction of the performance degradation of rolling bearings. …”
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From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention by Bin Xuan

“…This review of recent advances from evaluation to prediction of cognitive control interventions suggests that brain modularity may be an important candidate marker for informing clinical decisions regarding suitable interventions. …”
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A Multivariate prediction model for amlodipine therapeutic efficacy in pediatric primary hypertension by Yao Lin, Hui Wang, Yaqi Li, Yang Liu, Yanyan Liu, Hongwei Zhang, Yanjun Deng, Lin Shi

“…BackgroundThere are currently no biomarker-based prediction models for amlodipine therapeutic efficacy in pediatric hypertension. …”
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Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features by Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih, Hussain Alsalman

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Traffic Prediction-Based Fast Rerouting Algorithm for Wireless Multimedia Sensor Networks by Zhiyuan Li, Junlei Bi, Siguang Chen

“…In this paper, we propose a traffic prediction-based fast rerouting algorithm for use between the cluster heads and a sink node in WMSNs (TPFR). …”
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Symptom Status Predicts Patient Outcomes in Persons with HIV and Comorbid Liver Disease by Wendy A. Henderson, Angela C. Martino, Noriko Kitamura, Kevin H. Kim, Judith A. Erlen

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Retracted: Prediction of Coal Mining Subsidence Based on Machine Learning Probability Theory by Journal of Electrical and Computer Engineering

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Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine by Yi Guo, Hua Xu, Fei Wang, Jie Xu, Jiang Bian, Robert Lucero, Mattia Prosperi

“…Introduction While there are guidelines for reporting on observational studies (eg, Strengthening the Reporting of Observational Studies in Epidemiology, Reporting of Studies Conducted Using Observational Routinely Collected Health Data Statement), estimation of causal effects from both observational data and randomised experiments (eg, A Guideline for Reporting Mediation Analyses of Randomised Trials and Observational Studies, Consolidated Standards of Reporting Trials, PATH) and on prediction modelling (eg, Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis), none is purposely made for deriving and validating models from observational data to predict counterfactuals for individuals on one or more possible interventions, on the basis of given (or inferred) causal structures. …”
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Traffic Status Prediction of Arterial Roads Based on the Deep Recurrent Q-Learning by Wei Hao, Donglei Rong, Kefu Yi, Qiang Zeng, Zhibo Gao, Wenguang Wu, Chongfeng Wei, Biljana Scepanovic

“…The continuous training and memory storage of the training sets are used to improve the system sensitivity, and then, the test sets are predicted based on the accumulated experience pool to obtain high-precision prediction results. …”
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Cross-domain entity identity association analysis and prediction based on representation learning by Mingcheng Gao, Ruiheng Wang, Lu Wang, Yang Xin, Hongliang Zhu

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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

“…To evaluate the model, 13,095 data sets of desiccant wheel operation data were collected. The focus was on predicting the outlet temperature and humidity ratio. …”
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The Alteration of Carnitine Metabolism in Second Trimester in GDM and a Nomogram for Predicting Macrosomia by Man Sun, Baihui Zhao, Sainan He, Ruopeng Weng, Binqiao Wang, Yunping Ding, Xinwen Huang, Qiong Luo

“…Carnitine metabolism abnormality could predict macrosomia complicated with GDM.…”
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Risk-Aware Stochastic Vehicle Trajectory Prediction With Spatial-Temporal Interaction Modeling by Yuxiang Feng, Qiming Ye, Eduardo Candela, Jose Javier Escribano-Macias, Bo Hu, Yiannis Demiris, Panagiotis Angeloudis

Subjects: “…Stochastic trajectory prediction…”
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Application of SIMETAW simulation model for prediction of climate parameters in different regions of Iran by Hooshmand Ataei, Mahsa Ravarian, Seyed Alireza Tashakori Hashemi

“…In this research, Simetaw simulation model predicts different climate parameters such as solar radiation, minimum and maximum temperature, wind speed, dew point, precipitation and evapotranspiration potential in four different semi-arid climate zones (Mashhad). …”
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Milk Composition Is Predictive of Low Milk Supply Using Machine Learning Approaches by Xuehua Jin, Ching Tat Lai, Sharon L. Perrella, Xiaojie Zhou, Ghulam Mubashar Hassan, Jacki L. McEachran, Zoya Gridneva, Nicolas L. Taylor, Mary E. Wlodek, Donna T. Geddes

“…Machine learning algorithms were employed to develop prediction models integrating milk composition and maternal and infant characteristics. …”
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A Novel Index for Prompt Prediction of Severity in Patients with Unstable Angina Pectoris by Mustafa Bolatkale, Ahmet Cagdas Acara

“…The aim of this study was to investigate the predictive value of platelet-lymphocyte ratio (PLR) levels and compare with the modified heart score (m-HS) and stress testing to predict the severity of high-risk patients with unstable angina pectoris (UAP) in the ED. …”
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Utilizing Artificial Neural Network for Load Prediction Caused by Fluid Sloshing in Tanks by Hossein Goudarzvand Chegini, Gholamreza Zarepour

“…In this research, neural network models were used to predict the action of sloshing phenomena in a tank containing fluid under harmonic excitation. …”
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Cardioembolic but Not Other Stroke Subtypes Predict Mortality Independent of Stroke Severity at Presentation by Latha Ganti Stead, Rachel M. Gilmore, M. Fernanda Bellolio, Anunaya Jain, Alejandro A. Rabinstein, Wyatt W. Decker, Dipti Agarwal, Robert D. Brown

“…Cardioembolic ischemic stroke subtype determined by TOAST criteria predicts long-term mortality, even after adjusting for age and stroke severity.…”
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