Numerical Analyses of Static Characteristics of Liquid Annular Seals Based on 2D LBM-LES Model by Zhenjie Zhang, Lulu Zhai, Jia Guo, Zuchao Zhu, Guoyou Chen

“…In this paper, a two-dimensional (2D) mathematical model for predicting the leakage flow rates and static characteristics of liquid seal is established, based on the lattice Boltzmann method (LBM) combined with the D2G9 velocity model for incompressible fluid and large eddy simulation (LES) turbulence model, in which the transformation equation of reference pressure is developed with the Bernoulli equation. …”
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Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos by Shadi Jaradat, Mohammed Elhenawy, Huthaifa I. Ashqar, Alexander Paz, Richi Nayak

“…The framework consists of two key components: a deep learning model to segment video streams and identify potential near-miss or crash incidents and a multimodal large language model (MLLM) to further analyze and extract narrative information from the identified events. …”
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Impact of a Detailed Urban Parameterization on Modeling the Urban Heat Island in Beijing Using TEB-RAMS by Lei Jiang, Lixin Lu, Lingmei Jiang, Yuanyuan Qi, Aqiang Yang

“…The Town Energy Budget (TEB) model coupled with the Regional Atmospheric Modeling System (RAMS) is applied to simulate the Urban Heat Island (UHI) phenomenon in the metropolitan area of Beijing. …”
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Differentiation of Human Embryonic Stem Cells to Sympathetic Neurons: A Potential Model for Understanding Neuroblastoma Pathogenesis by Jane Carr-Wilkinson, Nilendran Prathalingam, Deepali Pal, Mohammad Moad, Natalie Lee, Aishwarya Sundaresh, Helen Forgham, Peter James, Mary Herbert, Majlinda Lako, Deborah A. Tweddle

“…Background and Aims. Previous studies modelling human neural crest differentiation from stem cells have resulted in a low yield of sympathetic neurons. …”
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Research on the Impact of Chinese Total Factor Productivity on the Modern Economic System Based on the Spatial Dubin Model by Qin Tang, Zhi-An Ren, Kang-Feng Zhu, Nai-Ru Xu

“…Thirdly, this paper uses static and dynamic spatial econometric models to empirically analyze the effect of total factor productivity on the improvement degree of the modern economic system. …”
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Well-Testing Model for Dual-Porosity Reservoir considering Stress-Sensitivity and Elastic Outer Boundary Condition by Song Chol Kim, Song Guk Han, Yong Il Song, Jin Sim Kim, Myong Gun Hong

“…The main object of this work is to present a well-testing model for stress-sensitivity dual-porosity reservoir (DPR) with EOB to improve the accuracy of the analysis of well-testing data. …”
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Retracted: Machine Learning Model-Based Applications for Food Management in Alzheimer’s Using Regression Analysis Approach by Journal of Food Quality

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A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems by José-Luis Alfaro-Navarro, Emilio L. Cano, Esteban Alfaro-Cortés, Noelia García, Matías Gámez, Beatriz Larraz

“…The main contribution of this article lies in developing an application for the entire Spanish market that fully automatically provides the best model for each municipality. Real estate property prices in 433 municipalities are estimated from a sample of 790,631 dwellings, using different ensemble methods based on decision trees such as bagging, boosting, and random forest. …”
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The mathematical model and program for Calculation of heat exchange at continuous casting of a strip in the “wheel-belt” mould by E. F. Baranovski, V. A. Pumpur

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Crystal plasticity modeling for grain size and texture effects on laser shock clinching of ultra-thin foils by Yaxuan Hou, Zhong Ji, Haiming Zhang

“…This paper presents a unified crystal plasticity model for the ultra-high strain rate laser shock clinching (LSC) process of ultra-thin foils by integrating the thermal activation theory, dislocation drag effect and dislocation density evolution. …”
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Cellular Signaling in Müller Glia: Progenitor Cells for Regenerative and Neuroprotective Responses in Pharmacological Models of Retinal Degeneration by Yang Liu, Chenguang Wang, Guanfang Su

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Risk Efficiencies of Empirical Bayes and Generalized Maximum Likelihood Estimates for Rayleigh Model under Censored Data by Dinesh Barot, Manhar Patel

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Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka by Miyuru B. Gunathilake, Chamaka Karunanayake, Anura S. Gunathilake, Niranga Marasingha, Jayanga T. Samarasinghe, Isuru M. Bandara, Upaka Rathnayake

“…Accurate streamflow estimations are essential for planning and decision-making of many development activities related to water resources. Hydrological modelling is a frequently adopted and a matured technique to simulate streamflow compared to the data driven models such as artificial neural networks (ANNs). …”
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Development of a dynamic quantitative digital model for the measurement of smart city maturity level in the city of Amman by Murad Kalaldeh, Deyala Tarawneh

Subjects: “…Dynamic quantitative model…”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

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Deformation Monitoring Model of Buried Pipeline Mechanical Parts Based on the Distributed Optical Fiber Monitoring System by Bihua Shen, Xiangchao Wang, Mengya Sun, Wei Qian

“…In this study, a recently developed optical fiber sensing technology was employed to monitor pipeline crossing projects and conduct tests to study the coordination deformation of buried-pipeline-soil systems using a comprehensive deformation monitoring system model based on optical fiber sensing technology developed for the test. …”
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Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients by Yu Zhu, Renrui Liang, Ying Wang, Jian-Jun Yang, Ning Zhou, Cheng-Mao Zhou

“…Methods We applied the LASSO regression model to identify the independent risk factors associated with POD. …”
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Mathematical Modeling of the Propagation of Democratic Support of Extreme Ideologies in Spain: Causes, Effects, and Recommendations for Its Stop by E. De la Poza, L. Jódar, A. Pricop

“…This paper deals with the construction of a discrete population mathematical model for the short-term forecast until January 2016 of the electoral support of extreme ideology parties in Spain. …”
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Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

Subjects: “…Denoising diffusion probabilistic models…”
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State of the Art of CFD-DEM Coupled Modeling and Its Application in Turbulent Flow-Induced Soil Erosion by Jun Xu, Fei Wang, Ruth Abegaz

“…Coupled fluid–soil particle models have emerged as essential tools for understanding the mechanisms underlying fluid–soil interactions. …”
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