Harnessing unsupervised machine learning with [18F]FDG PET/CT to develop a composite model for predicting overall survival in cervical cancer patients undergoing concurrent chemora... by Jinyu Shi, Lian Wang, Min Zhou, Shushan Ge, Shushan Ge, Bin Zhang, Jiangqin Han, Jihui Li, Shengming Deng, Shengming Deng

“…Background and purpose:This study sought to develop an advanced composite model to enhance the prognostic accuracy for cervical cancer patients undergoing concurrent chemoradiotherapy (CCRT). …”
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Optimizing oil salt analysis in southern Iran: A comprehensive statistical model for ASTM D3230 electrochemical cell device utilizing advanced analytical approaches by M. Shirali, F. Mirhashemi

“…Various statistical tests, including ANOVA, are employed to develop significant regression models that offer an evolutionary and augmented reality perspective on the statistical and experimental data from the D3230 electrochemical cell, Petrotest device, and the IP 77/79 method. …”
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A Model Based on Neural Network to Predict Surface Settlement During Subway Station Construction: A Case Study of the Dongba-Zhongjie Station in Beijing, China by Jiaqi Zhang, Hua Jiang, Jinsen Wang, Jili Feng

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A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index by Jawaria Nasir, Hasnain Iftikhar, Muhammad Aamir, Hasnain Iftikhar, Paulo Canas Rodrigues, Mohd Ziaur Rehman

“…It incorporates LMD (Local Mean Decomposition), SD (Signal Decomposition), and sophisticated machine learning methods. The framework for the NASDAQ Composite Index begins by decomposing the original time series into stochastic and deterministic components using the LMD approach. …”
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Research on the evaluation model of ecological environment change and its internal driving mechanisms by Rui Xu, Junfeng Deng, Youshan He, Guochen Sui, Xunchang Li, Wei Yang

“…To achieve this, the paper not only analyzes the multifaceted social, economic, and natural aspects of the composite ecosystem but also develops an ecological environment change evaluation model employing the topological hierarchy-entropy weight method. …”
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Force and Deformation Analysis of H(t)-T Loaded Pile Based on Pasternak Foundation Model by JIANG Jie, CHEN Lijun, CHAI Wencheng, AI Yonglin, OU Xiaoduo, GONG Jian

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Modeling the penetration of oscillating impulse electromagnetic fields through the screen, made of superconducting materials with time dispersion1 by V. T. Erofeenko, V. F. Bondarenko

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A Neural Network Constitutive Model and Automatic Stiffness Evaluation for Multiscale Finite Elements by Aliki D. Mouratidou, Georgios E. Stavroulakis

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Unveiling the Impact of Processing Methods on In Vitro Protein Digestibility: A Focus on Highland Barley and Its Application in Wine Production by Mengchuan He, Xinjing Zhou, András Koris, Bingyu Chen, Xuchun Zhu, Feiyue Ren, Hongzhi Liu

“…It summarises their composition, digestibility and functional properties. …”
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Hybrid Compensation Method for Non-Uniform Creep Difference and Hysteresis Nonlinearity of Piezoelectric-Actuated Machine Tools Under S-Shaped Curve Trajectory by Dong An, Zicheng Qin, Yixiao Yang, Xiaoyang Yu, Chaofeng Li

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Numerical Analysis and Experimental Verification of Optical Fiber Composite Overhead Ground Wire (OPGW) Direct Current (DC) Ice Melting Dynamic Process Considering Gap Convection H... by Shuang Wang, Long Cheng, Bo Tang, Wangsheng Xu, Zheng Wang

“…To this end, a finite element model of the DC ice melting process of OPGW was established by introducing the mushy zone constant to consider the influence of the convective heat transfer in the gap, and at the same time, the apparent heat capacity method was used to simulate the changes of the physical property parameters of the melted ice layer. …”
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AI-Enhanced Photovoltaic Power Prediction Under Cross-Continental Dust Events and Air Composition Variability in the Mediterranean Region by Pavlos Nikolaidis

“…Using machine learning methods, particularly regression trees, the proposed approach evaluates the impact of key environmental variables on PV performance, with an emphasis on atmospheric dust transport and air composition variability. …”
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Optimization the preparation of whey protein from pasteurized liquid milk using Response Surface Methodology and Artificial Neural Network Model by Md. Anwar Hossain, Kanika Mitra, Md. Munnaf Hossen, Shammi Akhter

“…An optimization technique was done using Central Composite Design (CCD). The ideal Alcalase-hydrolysis settings were optimized for producing whey protein using RSM of DPPH (Association of Official Analytical Chemists (AOAC) method) and amino acid activity (High Performance Liquid Chromatography (HPLC) method). …”
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Effective conductivity of isotropic composite with Kapitza thermal resistance by Nguyen Trung Kien, Nguyen Van Luat, Pham Duc Chinh

“… A simple method is introduced for computing the effective conductivity of isotropic composite with imperfect interface. …”
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Eyaluation of Damage Leyel in Glass-Fabric Reinforced Composite by Andrzej Bełzowski

“…A method is proposed for evaluating the extent of damage in fibre-reinforced polymer composites. …”
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ANALYTICAL AND EXPERIMENTAL DETERMINATION OF STRESSES IN THE PLANE COMPOSITE PLATES by Corneliu MOROIANU, Ilie PATRICHI

“…This work presents the mathematical method for solving the differential equations by means of which we can determine the stresses in the plane composite plates used to build crafts. . …”
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The Impact of Initial Composition on Massive Star Evolution and Nucleosynthesis by Christopher West, Alexander Heger, Benoit Côté, Lev Serxner, Haoxuan Sun

“…We find that the compositions from the GCH model better reproduce the weak s -process peak than the scaled solar models. …”
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Effects of Ply Misalignment in Material Characterization of Composite Laminates by Michael Franz, Racim Radjef, Boris Eisenbart, Sandro Wartzack

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Fast and Intelligent Proportional–Integral–Derivative (PID) Attitude Control of Quadrotor and Dual-Rotor Coaxial Unmanned Aerial Vehicles (UAVs) Based on All-True Composite Motion... by Zhen Wang, Qi Yuan, Yi Zhu, Yifan Hu, Heng Chen, Xingbo Xie, Wenbin Gu

“…The simulation and experimental results show that the proposed all-true composite motion model and controller design method can accurately simulate the dynamic characteristics of the two types of UAVs and maintain stable attitude control, thus providing a valuable reference for the accurate attitude control of rotorcraft UAVs based on all-true composite motion.…”
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Optimization of Structures and Composite Materials: A Brief Review by André Ferreira Costa Vieira, Marcos Rogério Tavares Filho, João Paulo Eguea, Marcelo Leite Ribeiro

“…The main objective of this paper is to present how neural networks can help speed up the process of optimizing the geometries and composition of composite structures (dimension, topology, volume fractions, reinforcement architecture, matrix/reinforcement composition, etc.) compared to the traditional optimization methods. …”
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