A Two-Stage Deep Fusion Integration Framework Based on Feature Fusion and Residual Correction for Gold Price Forecasting by Cihai Qiu, Yitian Zhang, Xunrui Qian, Chuhang Wu, Jiacheng Lou, Yang Chen, Yansong Xi, Weijie Zhang, Zhenxi Gong

“…Nonetheless, traditional single prediction models usually suffer from limited predictive performance and fail to capture complex variability of market behavior. …”
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Transforming Building Energy Management: Sparse, Interpretable, and Transparent Hybrid Machine Learning for Probabilistic Classification and Predictive Energy Modelling by Yiping Meng, Yiming Sun, Sergio Rodriguez, Binxia Xue

“…The framework clusters occupancy-driven energy usage patterns using K-means and Gaussian Mixture Models, identifying three distinct household profiles: high-energy frequent occupancy, moderate-energy variable occupancy, and low-energy irregular occupancy. …”
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A 3-dimensional mathematical model of microbial proliferation that generates the characteristic cumulative relative abundance distributions in gut microbiomes. by Lena Takayasu, Wataru Suda, Eiichiro Watanabe, Shinji Fukuda, Kageyasu Takanashi, Hiroshi Ohno, Misako Takayasu, Hideki Takayasu, Masahira Hattori

“…Our model indicated that the CRAD may be determined by the ratio of emerging to pre-existing species during non-uniform spatially competitive proliferation, independent of species composition.…”
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Municipal waste management performance: a focus on Slovakia and its LAU-1 districts by Eleonóra Marišová, Peter Fandel

“…In accordance with the hierarchy of waste treatment methods, the applied models consider desirable waste operations variables (recycling and incineration with energy recovery) and undesirable waste operation variables (landfilling). …”
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Possibility of using the SBE profilometer data for calibration of satellite data on concentration of chlorophyll <i>a</i> in the Japan Sea by Sergey P. Zakharkov, Yulianna V. Shambarova, Tatyana N. Gordeychuk, Inna V. Stonik, Elena A. Shtraikhert

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Spatiotemporal evolution of surface water quality and driving factors across varying levels of human interference in a major subbasin of the Yellow River Basin, China by Longmei Xie, Ruizhong Gao, Xixi Wang, Limin Duan, Lijing Fang, Hui Tong, Chang Yue, Tingxi Liu

“…Using 2013–2023 datasets on water quality, hydrology, and meteorology, the composite pollution index (CPI), ANOVA, and generalized additive models were applied to provide insights for effective management. …”
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Variation in nuclear genome size in a freshwater snail model system featuring a recent whole-genome duplication by Maurine Neiman, Maria Pichler, Martin Haase, Dunja K. Lamatsch

“…Conspecifics often share—or are assumed to share—nuclear genome characteristics like nucleotide composition and genome size. These fundamental aspects of the nuclear genome can themselves be the object of natural selection. …”
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Mathematical Modeling of Thermal and Deformation Fields in Non-Metallic Heterogeneous Materials During Control by the Thermal Imaging Method by Vladimir Tonkonogyi, Maryna Holofieieva, Yurii Morozov, Volodymyr Yarovyi, Oksana Bieliavska, Isak Karabegović

“…The article aims to mathematically model processes that occur in non-metallic heterogeneous materials when active thermography methods were used for deep study control. …”
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A Combined Approach of Experimental Testing and Inverse FE Modelling for Determining Homogenized Elastic Properties of Membranes and Plates by Christian Iandiorio, Riccardo Serenella, Pietro Salvini

“…While homogeneous materials can be modeled with relative ease, heterogeneous materials such as composites or biological tissues with multiphase compositions pose significant difficulties due to the variability in their internal structures. …”
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Optimization Design of Body-in-White Stiffness Test Rig Based on the Global Adaptive Algorithm of the Hybrid Element Model by Zhaohui Hu, Shuai Mo, Huang Liu, Fuhao Mo

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Trait-Based Modeling of Surface Cooling Dynamics in Olive Fruit Using Thermal Imaging and Mixed-Effects Analysis by Eddy Plasquy, José M. Garcia, Maria C. Florido, Anneleen Verhasselt

“…Surface temperature was recorded using infrared thermal imaging, and morphological and compositional traits were quantified. Temperature decay was modeled using Newton’s Law of Cooling, extended with a quadratic time term to capture nonlinear trajse thectories. …”
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Solar Energy Utilization of Radiative Implication of Trihybrid Xue-Modeled Nanofluid Flow for Oblique Stagnation Point Flows by Yasir Mehmood, Areej Asif, Ikram Syed, Waseem Abbasi, Syed Sajid Ullah, Muhammad Shahid Anwar

“…This study uses the Xue model to explore how well a nanofluid transfers heat in a steady oblique stagnation-point flow. …”
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Efficient adsorption of methylene blue (MB) by an eco-friendly chitosan derivative adsorbent: An RSM and ANN modeling study by E. Igberase, I.G. Mkhize

“…The isothermal studies revealed that the experimental data fit the Langmuir model well, with a maximum adsorption capacity of 128.67 mg/g. …”
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Optimized Design and Test of Geometrically Nonlinear Static Aeroelasticity Model for High-Speed High-Aspect-Ratio Wing by Xing Li, Wei Qian, Ling Xiao, Xinyu Ai, Jun Liu

“…In order to ensure the accuracy of the wing shape when the model was deformed greatly, this study employed the structural design scheme of the wing with the skin as the main stiffness component, and the thicknesses of different regions of the skin were used as the design variables for the stiffness optimization design. …”
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Evaluation of water supply function in the Economic Belt of the Northern Slope of the Tianshan Mountains based on the InVEST model by Wei Liu, Hao Tian, Xingang Xu, Guang Yang

“…The Economic Belt of the Northern Slope of the Tianshan Mountains (EBNSTM) is a composite ecosystem with mountains, oases, and desert areas; it also serves as an active area for anthropogenic activities. …”
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An insight into the CO2 solubility in NaCl + ethylene glycol (1:16) deep eutectic solvent: experimental and modeling by Ali Rasoolzadeh, Mehdi Keshtkar, Sona Raeissi, Reza Haghbakhsh

“…Among the tested models, the WS (AARD%=6.66) and MHV1 (AARD%=5.61) provided the most accurate predictions of equilibrium pressures. …”
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Predicting the Tensile Properties of Automotive Steels at Intermediate Strain Rates via Interpretable Ensemble Machine Learning by Houchao Wang, Fengyao Lv, Zhenfei Zhan, Hailong Zhao, Jie Li, Kangte Yang

“…Five machine learning models, including ridge regression, support vector machine regression, gradient boosted regression tree, random forest, and adaptive boosting regression, were developed to predict the yield strength (YS), ultimate tensile strength (UTS), and fracture elongation (FE) of automotive steels at 100/s using the composition, sample size, and quasi-static mechanical properties of automotive steels as input variables. …”
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POD-DEIM Based Model Order Reduction for the Spherical Shallow Water Equations with Turkel-Zwas Finite Difference Discretization by Pengfei Zhao, Cai Liu, Xuan Feng

“…To reduce the dimension of the SWE model, we use a well-known model order reduction method, a proper orthogonal decomposition (POD). …”
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A New Maintenance Optimization Model Based on Three-Stage Time Delay for Series Intelligent System with Intermediate Buffer by Xiaolei Lv, Qinming Liu, Zhinan Li, Yifan Dong, Tangbin Xia, Xiang Chen

“…Firstly, the intelligent series system is decomposed into n − 1 virtual series systems by using approximate decomposition method. The impact factor is introduced to establish the failure rate and maintenance rate model of each virtual machine. …”
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Prior metabolic surgery attenuates the weight-loss efficacy of liraglutide in patients with mild obesity by Yuqin Ouyang, Yuqin Ouyang, Xinyue Xiang, Xinyue Xiang, Xinyun Hu, Xinyun Hu, Xuehui Chu, Wenjuan Tang, Wenjuan Tang, Wenhuan Feng, Wenhuan Feng, Wenhuan Feng

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