Incorporating stand parameters in nonlinear height-diameter mixed-effects model for uneven-aged Larix gmelinii forests by Muhammad Junaid Ismail, Tika Ram Poudel, Akber Ali, Lingbo Dong

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Subsystem-Based Fault Detection in Robotics via <italic>L2</italic> Norm and Random Forest Models by Elham Abdullah Alamoudi

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Numerical assessments of scour depth predictions downstream of box culverts under various flow and blockage conditions by Kaywan Othman Ahmed, Mohammad Reza Kavianpour, Ata Amini, Younes Aminpour

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Evaluation of drug release from topical dosage forms and permeability prediction through the skin barrier (review) by N. B. Melnikova, I. A. Sheferov, A. A. Emasheva, A. A. Sheferova, D. A. Panteleev, A. I. Slivkin

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Identification of biomarkers based on ubiquitin-correlated genes for predicting immune profile and drug sensitivity in lung adenocarcinoma by Yue Li, Wei Tian, Chen Chen, Hailin Liu, Zhenfa Zhang, Changli Wang

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A Data-Driven Approach Based on Deep Neural Network Regression for Predicting the Compressive Strength of Steel Fiber Reinforced Concrete by Nhat-Duc Hoang, Van-Duc Tran

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Evaluating Remote Sensing Resolutions and Machine Learning Methods for Biomass Yield Prediction in Northern Great Plains Pastures by Srinivasagan N. Subhashree, C. Igathinathane, John Hendrickson, David Archer, Mark Liebig, Jonathan Halvorson, Scott Kronberg, David Toledo, Kevin Sedivec

“…The top-ranked features (52 tested) from recursive feature elimination (RFE) were short-wave infrared 2, normalized difference moisture index, and average turf soil temperature in the machine learning (ML) model developed. The random forest (RF) model produced the highest accuracy (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.83</mn></mrow></semantics></math></inline-formula>) among others tested for biomass yield prediction. …”
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A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study by Jing Xu, Wenjin Zhang, Wenli Liu

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Rapid Classification and Quantitative Prediction of Aflatoxin B₁ Content and Colony Counts in Nutmeg Based on Electronic Nose by Ruiqi Yang, Keyao Zhu, Yuanyu Zhao, Xingyu Guo, Yushi Wang, Jiayu Wang, Huiqin Zou, Yonghong Yan

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Development and validation of a hypoxia-immune-based microenvironment gene signature for predicting survival in non-small cell lung cancer by Xiangwu Zhang, Rongxian Zhou, Guangqiang Zhao, Wanling Chen, Ping Zhao, Yunchao Huang, Qiubo Huang, Lianhua Ye

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Development and validation of a prediction nomogram for adverse pregnancy outcomes among urban Chinese women with hypothyroxinemia during early pregnancy by Yulai Zhou, Zixuan Huang, Jiabin Ren, Chunxiao Liu, Tiantian Yu, Weibin Wu, Jianxia Fan

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Development and validation of a spontaneous preterm birth risk prediction algorithm based on maternal bioinformatics: A single-center retrospective study by Yu Chen, Xinyan Shi, Zhiyi Wang, Lin Zhang

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Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in China by Lang Huang, Weihao Yao, Xu Xiao, Yang Zhang, Rui Chen, Yanbing Yang, Zhi Li

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Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation by Alexander R. Anim-Mensah, Alexander R. Anim-Mensah

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Machine learning algorithms to predict feeding practices during diarrheal disease and its determinants among under-five children in East Africa by Tirualem Zeleke Yehuala, Nebebe Demis Baykemagn, Bewuketu Terefe

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Prediction of pathological complete response after neoadjuvant chemotherapy for HER2-negative breast cancer patients with routine immunohistochemical markers by Lothar Häberle, Ramona Erber, Paul Gass, Alexander Hein, Melitta Niklos, Bernhard Volz, Carolin C. Hack, Rüdiger Schulz-Wendtland, Hanna Huebner, Chloë Goossens, Matthias Christgen, Thilo Dörk, Tjoung-Won Park-Simon, Andreas Schneeweiss, Michael Untch, Valentina Nekljudova, Sibylle Loibl, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching

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Development and validation of an interpretable nomogram for predicting the risk of the prolonged postoperative length of stay for tuberculous spondylitis: a novel approach for risk... by Parhat Yasin, Haopeng Luan, Cong Peng, Xinghua Song

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ADHD Prediction via Time Series Ensemble fed Driving Simulator Data by David Grethlein, Aleksanteri Sladek, Santiago Ontañón

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Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

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Agricultural production structure adjustment based on a multi-objective control in the Tiaoxi watershed by YE Zhennan, WANG Fei’er, JI Lingye, YU Jie

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