A Validation of the Ultrasound Wave Velocity Method to Predict Porosity of Dry and Saturated Cement Paste by Zhenting Zou, Jay N. Meegoda

“…Then back-calculated elastic moduli values from finite element simulations were used to compute the wave velocities of both fully saturated and dry cement paste with different porosities. The predicted ultrasound velocities with porosity for both dry and saturated cement paste are compared well with the laboratory measurements.…”
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Model Predictive Voltage Control with Optimal Duty Cycle for Three-Phase Grid-Connected Inverter by Shahrouz Ebrahimpanah, Qihong Chen, Liyan Zhang, Misbawu Adam

“…This paper proposes a model predictive voltage control (MPVC) strategy with duty cycle control for grid-connected three-phase inverters with output LCL filter. …”
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Prediction of Adhesively Bonded Polyurethane-to-Steel Double Butt Joint Failure Using Uncertainty Analysis by Xiaofu Li, Chuanpeng Ji, Zhi Zhang, Shiwei Zhang, Hongqin Liu, Shulin Wang

“…A comparison of the prediction with the experiment reveals the inability of a deterministic approach for accurately predicting the load-bearing capability of the joint and the failure propagation route. …”
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Thermodynamic properties prediction of Mg-Al-Zn melts based on the atom and molecule coexistence theory by Zhang Man-Cang, Duan Sheng-Chao, Xu Rong-Huan, Zou Ming, Dong Shi-Wen, Guo Han-Jie, Guo Jing

Subjects: “…thermodynamic prediction model…”
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The Importance of Cognitive and Mental Factors on Prediction of Job Performance in Chinese High-Speed Railway Dispatchers by Zizheng Guo, Jiaming Zou, Chuanning He, Xi Tan, Chongshuang Chen, Guo Feng

“…This study examined the relationship between cognitive and mental factors and job performance among Chinese high-speed railway dispatchers and established a predictive model for the job performance of dispatchers. …”
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e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver Transplantation by Viniyendra Pamecha, MS, MRCS, FRCS, FEBS, Nilesh Sadashiv Patil, MS, MCh, Tharun Gattu, MS, Guresh Kumar, MSc, MPhil, PhD, Bramhadatta Pattnaik, MS, MCh, Nihar Mohapatra, MS, MCh, Gaurav Sindwani, MD, PDCC, Ashok Choudhury, MD, DM

“…This study aimed to analyze risk factors and develop a predictive model for early allograft loss due to early graft dysfunction (EGD) in adult live-donor liver transplantation (LDLT). …”
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Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel by Christine Ahrends, Mark W Woolrich, Diego Vidaurre

“…Predicting an individual’s cognitive traits or clinical condition using brain signals is a central goal in modern neuroscience. …”
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Depletion of key gut bacteria predicts disrupted bile acid metabolism in inflammatory bowel disease by Daniel Peterson, Christopher Weidenmaier, Sonia Timberlake, Rotem Gura Sadovsky

“…Here, we analyzed hundreds of stool samples with paired metagenomic and metabolomic data from IBD patients and controls and found that the abundance of the bai operon in metagenomic samples was highly predictive of that sample’s high- or low-SBA metabolic state. …”
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Application of VIS/NIR Spectroscopy and SDAE-NN Algorithm for Predicting the Cold Storage Time of Salmon by Ting Wu, Nan Zhong, Ling Yang

“…It is highlighted that the algorithm is efficient and accurate and that the salmon meat would be more suitable for predicting freshness than the salmon skin. VIS/NIR spectroscopy combined with the SDAE-NN algorithm can be widely used to predict the freshness of various agricultural products.…”
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Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

Subjects: “…crop yield prediction, machine learning, deep learning, artificial neural networks, optimization algorithms…”
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Ki67 Predicts Progression in Early CIN: Validation of a Multivariate Progression-Risk Model by Rosella Silvestrini

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Iraqi Stock Market Prediction Using Artificial Neural Network and Long Short-Term Memory by Sama Hayder Abdulhussein AlHakeem, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra Atee, Mahmod Muhamad Amrir

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Method for predicting the risk of type 2 diabetes mellitus development in persons with visceral obesity and prediabetes by Yulia V. Nelaeva, Alsu A. Nelaeva, Anna E. Yuzhakova, Ivan M. Petrov, Igor F. Sholomov

“…To create a mathematical model, which will predict the development of type 2 diabetes mellitus (DM 2) in individuals with visceral obesity and/or prediabetes. …”
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The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia by Ilija Doknić, Mirjana Mitrović, Zoran Bukumirić, Marijana Virijević, Nikola Pantić, Nikica Sabljić, Darko Antić, Živko Bojović

“…This thesis explores the potential of data science (DS) methods for predicting venous thrombosis in patients with acute myeloid leukemia. …”
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Optimal selection of machine learning algorithms for ciprofloxacin prediction based on conventional water quality indicators by Shenqiong Jiang, Xiangju Cheng, Baoshan Shi, Dantong Zhu, Jun Xie, Zhihong Zhou

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Predictive factors for extubation success in very low and extremely low birth weight preterm infants by Nilson Willamy Bastos de Souza Júnior, Tathiane Ribeiro Rosa, Jane Cecília Kreling Cerântola, Ligia Silvana Lopes Ferrari, Vanessa Suziane Probst, Josiane Marques Felcar

“…GA and post-extubation arterial partial pressure of carbon dioxide (PaCO~2~) were predictive of extubation success. Infants from FG had lower GA and BW, while those from SG had higher weight at extubation and lower post-extubation PaCO~2~…”
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ChromaFold predicts the 3D contact map from single-cell chromatin accessibility by Vianne R. Gao, Rui Yang, Arnav Das, Renhe Luo, Hanzhi Luo, Dylan R. McNally, Ioannis Karagiannidis, Martin A. Rivas, Zhong-Min Wang, Darko Barisic, Alireza Karbalayghareh, Wilfred Wong, Yingqian A. Zhan, Christopher R. Chin, William S. Noble, Jeff A. Bilmes, Effie Apostolou, Michael G. Kharas, Wendy Béguelin, Aaron D. Viny, Danwei Huangfu, Alexander Y. Rudensky, Ari M. Melnick, Christina S. Leslie

“…We therefore present ChromaFold, a deep learning model that predicts 3D contact maps, including regulatory interactions, from single-cell ATAC sequencing (scATAC-seq) data alone. …”
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Impact of a multiple oversampling technique-based assessment framework on shallow rockburst prediction models by Guozhu Rao, Guozhu Rao, Yunzhang Rao, Yunzhang Rao, Yangjun Xie, Qiang Huang, Jiazheng Wan, Jiyong Zhang

Subjects: “…shallow rockburst intensity prediction…”
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Study on Tensile Properties of Nanoreinforced Epoxy Polymer: Macroscopic Experiments and Nanoscale FEM Simulation Prediction by Zhenqing Wang, Fang Liu, Wenyan Liang, Limin Zhou

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COVID-19 death toll predictions show that triggering counterfactual thinking deteriorates judgmental performance by Matthias Seifert, Jeeva Somasundaram

“…Results Here we show that individuals who engaged in thinking about “interventions that could have led to an alternative evolution of the death toll” prior to making forecasts exhibit greater judgmental bias in their predictions compared to the control group. Specifically, subjects in the treatment group tend to generate upward counterfactuals and underestimate the death toll, potentially due to anchoring on more favorable scenarios and insensitivity to trend changes. …”
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