The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance by Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu

“…AI/ML models can use various data sources, such as clinical information, genomic sequences, microbiome insights, and epidemiological data for predicting AMR outbreaks. Although AI/ML are relatively new fields, numerous case studies offer substantial evidence of their successful application in predicting AMR outbreaks with greater accuracy. …”
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Research and Model Prediction on the Performance of Recycled Brick Powder Foam Concrete by Hongyang Xie, Jianjun Dong, Yong Deng, Yiwen Dai

“…The experimental results and prediction models can provide experimental and theoretical references for the research and application of recycled brick powder foam concrete.…”
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New Predictive Models for the Computation of Reinforced Concrete Columns Shear Strength by Anthos I. Ioannou, David Galbraith, Nikolaos Bakas, George Markou, John Bellos

“…Significantly improved predictive models are proposed herein through the implementation of machine learning (ML) algorithms on refined datasets. …”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…One of those areas is the prediction and prevention of consumer churn. There are two basic types of consumer churn, complete churn and partial churn. …”
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The Underwater Projectile Launching Process Prediction Based on Reduced Order Method by Ke Deng, Yi Jiang, Huan-Xing Liu

“…In this paper, computational fluid dynamics (CFD) and reduced order method (ROM) are developed for predicting the velocity time series during the initial stage of projectile launching. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…AimIn this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.Subject and methodsWe sourced GSE9569 and GSE21862 microarray data from the Gene Expression Omnibus. …”
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Fatigue Life Prediction of Half-Shaft Using the Strain-Life Method by Xipei Ma, Xintian Liu, Haijie Wang, Jiachi Tong, Xiaobing Yang

“…Fatigue life prediction is an important part of the reliability and durability analysis of automobile components. …”
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Novel predictive biomarkers for atonic postpartum hemorrhage as explored by proteomics and metabolomics by Jiangxue Qu, Hai Jiang, Huifeng Shi, Nana Huang, Jiawen Su, Yan Zhang, Lian Chen, Yangyu Zhao

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Flexible Model Predictive Control for Bounded Gait Generation in Humanoid Robots by Tianbo Yang, Yuchuang Tong, Zhengtao Zhang

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Investor Attention: Can Google Search Volumes Predict Stock Returns? by Claudia Yoshinaga, Fabio Rocco

“…This paper investigates the role of investor attention in predicting future stock market returns for Brazilian stocks using Google Search Volume (GSV). …”
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“Foreign” language aptitude predicts individual differences in native grammatical proficiency by Llompart Miquel, Dąbrowska Ewa

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A Wake Model for the Prediction of Propeller Performance at Low Advance Ratios by Ye Tian, Spyros A. Kinnas

“…A low order panel method is used to predict the performance of propellers. A wake alignment model based on a pseudounsteady scheme is proposed and implemented. …”
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AI-Based Hybrid Models for Predicting Loan Risk in the Banking Sector by Vikas Kumar, Shaiku Shahida Saheb, Preeti, Atif Ghayas, Sunil Kumari, Jai Kishan Chandel, Saroj Kumar Pandey, Santosh Kumar

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NLO QCD predictions for t t ¯ γ $$ t\overline{t}\gamma $$ with realistic photon isolation by Daniel Stremmer, Malgorzata Worek

“…We quantify the impact of different photon-isolation prescriptions on the integrated and differential cross-section predictions for the LHC at a centre-of-mass energy of s $$ \sqrt{s} $$ = 13.6 TeV. …”
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Predictability of water resources with global climate models. Case of Northern Tunisia by Besbes, Mustapha, Chahed, Jamel

“…The objective of the research is to explore the predictability of water resources directly with GCMs by analysing long-term effects of climate change on Northern Tunisia’s blue and green water. …”
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Predictive role of ABC transporters in the efficacy of enfortumab vedotin for urothelial carcinoma by Toshiki Kijima, Atsuko Takada‐Owada, Hiroki Shimoda, Hidetoshi Kokubun, Toshitaka Uematsu, Kohei Takei, Hironori Betsunoh, Masahiro Yashi, Kazuyuki Ishida, Takao Kamai

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DWNet: Dual-Window Deep Neural Network for Time Series Prediction by Jin Fan, Yipan Huang, Ke Zhang, Sen Wang, Jinhua Chen, Baiping Chen

“…Multivariate time series prediction is a very important task, which plays a huge role in climate, economy, and other fields. …”
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A Decomposed-Ensemble Prediction Framework for Gate-In Operations at Container Terminals by Yifan Shen, Beng Xuan, Hongtao Hu, Yansong Wu, Ning Zhao, Zhen Yang

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Research on Typhoon Prediction by Integrating Numerical Simulation and Deep Learning Methods by Tianyi Lv, Huaming Yu, Liangshi Lin, Yijun Tao, Xin Qi

“…The model predicts maximum wind speeds based on existing atmospheric numerical forecasts, constructs a parametric wind field model from these predictions, and integrates it with the numerical model wind fields to generate an LSTM-optimized wind field. …”
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Monitoring and Prediction of Wild Blueberry Phenology Using a Multispectral Sensor by Kenneth Anku, David Percival, Mathew Vankoughnett, Rajasekaran Lada, Brandon Heung

“…Variable importance showed that NDVI, ENDVI, GLI, VARI, and GRVI contributed significantly to achieving these predicted values, with NDRE showing low effects. (4) Conclusion: This implies that the F4/F5 and F6/F7 stages are good stages for making phenological predictions and estimations about wild blueberry plants.…”
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