An Analysis of Variance of the Pantheon+ Dataset: Systematics in the Covariance Matrix? by Ryan E. Keeley, Arman Shafieloo, Benjamin L’Huillier

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A lithofacies modeling method based on a new integrated algorithm and its application by LEI Cheng,CUI Bingkai,ZHAI Guanghua,YE Yu,XU Qingyan,ZHANG Jinlin

“…It is currently the mainstream method of reservoir analysis. However, in the traditional combination of seismic data and logging data, the weight of the constraints on the final lithofacies is difficult to control. …”
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Study of the Indoor Model Test and CEL Simulation of Jacking Force in the Vertical Tunnelling Method by Xinjiang Wei, Shuyuan Zhang, Xiao Wang, Liangliang Lu, Zhi Ding

“…The jacking force is one of the important parameters affecting the construction process in the vertical tunnelling method. To study the dynamic changing process of jacking force with the jacked distance and the influencing factors of the maximum jacking force, both the indoor model test and numerical simulation were conducted. …”
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Variant Design of Modular Products Using Functional Modelling and Multi-Criteria Evaluation Method by Mirko Pastović, Mirko Karakašić, Željko Ivandić, Ivan Grgić

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End-to-end throughput evaluation model and optimization method for dual-mode mesh network by SU Zhan, WEN Bo, ZHU Xiaorong

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Analyzing Crash Severity: Human Injury Severity Prediction Method Based on Transformer Model by Yalan Jiang, Xianguo Qu, Weiwei Zhang, Wenfeng Guo, Jiejie Xu, Wangpengfei Yu, Yang Chen

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Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd by CHEN Li juan, WU Jian jun, WANG Gang, DAI Zi kuo, LIU Zhen dong, TAN Yu hua, ZHOU Yul ong

“…Finally, through the example analysis and calculation, the failure rate model established in this paper has a high precision and has a certain value of engineering application.…”
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Prediction method of sugarcane important phenotype data based on multi-model and multi-task. by Jihong Sun, Chen Sun, Zhaowen Li, Ye Qian, Tong Li

“…Furthermore, an analysis of the sugarcane intelligent prediction model's performance under a specialized data environment, incorporating self-prepared data, reveals that the XGBoost algorithm exhibits greater stability. …”
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A prediction method for radiation proctitis based on SAM-Med2D model by Ning Zhang, Haifeng Ling, Wenyu Zhang, Mei Zhang

“…In this study, we propose a novel paradigm that leverages deep learning models for initial segmentation, followed by detailed radiomics analysis. …”
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Thermal conductivity evaluation of C/C-foam sandwich based on multiscale modeling method by Zhixin Peng, Yuchao Yuan, Wenyong Tang

“…PBCs are defined and the finite element homogenization method is used to study the thermal conductivity of RVE model. …”
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Breast mass lesion area detection method based on an improved YOLOv8 model by Yihua Lan, Yingjie Lv, Jiashu Xu, Yingqi Zhang, Yanhong Zhang

“…Compared with the traditional YOLOv8 method, the three new models improved and achieved F1 scores of 98.38%, 98.8%, and 98.57%, while the number of parameters reduced by 42.9%, 46.64%, and 2.8%. …”
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THE POSSIBILITY OF STUDYING SUPERSONIC FLOW PROFILE CLOSE TO THE SCREEN BY THE METHOD OF HYDRAULIC ANALOG MODELING by D. T. Aliakbarov, A. A. Kukin, V. V. Trofimov

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A Novel Learning-Based MPC Method via Basic-Residual Cooperative Model by Yuesheng Liu, Zhongxian Xu, Ning He, Lile He, Fuan Cheng

“…This study proposes a novel model predictive control (MPC) method based on the basic-residual cooperative model. …”
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Weighted Fusion Method of Marine Gravity Field Model Based on Water Depth Segmentation by Zhaoyu Chen, Qiankun Liu, Ke Xu, Xiaoyang Liu

“…Among the marine gravity field models derived from satellite altimetry, the Scripps Institution of Oceanography (SIO) series and Denmark Technical University (DTU) series models are the most representative and are often used to integrate global gravity field models, which were inverted by the deflection of vertical method and sea surface height method, respectively. …”
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Multiple model visual feature embedding and selection method for an efficient ocular disease classification by Isha Kansal, Vikas Khullar, Preeti Sharma, Supreet Singh, Junainah Abd Hamid, A. Johnson Santhosh

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Modelling Infiltration Based on Source‐Responsive Method for Improving Simulation of Rapid Subsurface Stormflow by Xuhui Shen, Jintao Liu, Xiaole Han, Hai Yang, Hu Liu, Feiyu Ni

“…In this study, based on the source‐responsive method that divides the soil into source‐responsive and diffusive domains, the allocation ratio of infiltrated water in macropores recharging the matrix were derived and it was coupled with PIHM (Penn State Integrated Hydrologic Model) as PIHM‐SRM (PS). …”
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Fitting method of concrete damage Poisson’s ratio model based on Kolmogorov-Arnold network by Yu Yang, Jiahui Xu, Qiangbing Zhou, Shichao Kong, Keyi Lin

“…This study proposes a combination of the Kolmogorov-Arnold Network (KAN), which can fit complex nonlinear relationships with high precision, and the Finite Element Method (FEM) to address this challenge. The research first summarizes the influencing factors of the concrete damage Poisson’s ratio model from classical theories, then uses data obtained from measurements and finite element analysis to train the KAN to develop the concrete damage Poisson’s ratio prediction model. …”
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Integrative analysis of gene expression and DNA methylation through one‐class logistic regression machine learning identifies stemness features in medulloblastoma by Hao Lian, Yi‐Peng Han, Yu‐Chao Zhang, Yang Zhao, Shan Yan, Qi‐Feng Li, Bao‐Cheng Wang, Jia‐Jia Wang, Wei Meng, Jian Yang, Qin‐Hua Wang, Wei‐Wei Mao, Jie Ma

“…Here, we employed a trained stemness index model based on an existent one‐class logistic regression (OCLR) machine‐learning method to score MB samples; we then obtained two stemness indices, a gene expression‐based stemness index (mRNAsi) and a DNA methylation‐based stemness index (mDNAsi), to perform an integrated analysis of MB stemness in a cohort of primary cancer samples (n = 763). …”
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Study on Calibration Method of Micromechanical Parameters for Discrete Element Model of Moderately Consolidated Sandstones by Wenhong Zhang, Zhengchao Ma, Hantao Zhao, Tianyu Wang, Panpan Zhang, Jiacheng Dai, Shouceng Tian

“…As an effective research tool, the discrete element method (DEM) encounters challenges during the modeling phase, such as a large number of micromechanical parameters, low modeling efficiency, and unclear coupling mechanisms among multiple parameters. …”
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Listract Test: A Standardized Assessment Method for Isolated Lisfranc Instability in Cadaver Models by Vasundhara Mathur, David Osei-Hwedieh, Sayyed Hadi Sayyed Hosseinian, Fernando Raduan, Philip B Kaiser, Gregory R Waryasz, Lorena Bejarano-Pineda, John Y Kwon, Hamid Ghaednia, Soheil Ashkani-Esfahani

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