Reduction of the residual warpage of fused deposition modeling by negative thermal expansion filler by Masaya Sakagami, Saito Ishiue, Maiki Kawaguchi, Akihiro Takezawa

“…To focus on the effect of thermal expansion on residual warpage, we used acrylonitrile-butadiene-styrene, which is an amorphous polymer with a small volume change around the liquid–solid phase transition, as the matrix. Composite pellets were prepared using a kneader, and filaments were produced for fused deposition modeling (FDM) using an extruder. …”
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Matrix-qubit algorithm for semantic analysis of probabilistic data by Ilya A. Surov

“…The paper presents a method for semantic data analysis by means of complex-valued matrix decomposition. …”
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Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge by Botian HAO, Yunfei DIAO, Ya WEI, Donghai XU

“…After training with the Levenberg-Marquardt algorithm, the model′s R2 significantly improved to 0.9989, demonstrating the superiority of neural networks in modeling nonlinear complex systems. …”
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Massively parallel phase field fracture simulations on supercomputers: towards multi-billion degree-of-freedom computations by Zakaria Chafia, Julien Yvonnet, Jérémy Bleyer, Stéphane Vincent, Simon El Ouafa

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Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines by Yaoshan Bi, Jiwen Wu, Xiaorong Zhai, Shuhao Shen, Libin Tang, Kai Huang, Dawei Zhang

“…The research shows the following results: (1) Both PCA and PLS-DA methods can distinguish water samples from three different water sources, but the classification effect of PLS-DA was better than PCA because it can strengthen the difference of water chemical composition between different water sources. (2) The correct discrimination rate of the PLS-DA discriminant model was as high as 100%, and permutation tests showed that the model was not overfit. …”
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Causal insights into the school-family-research integrated health promotion program for overweight and obesity: the independent role of moderate-to-vigorous physical activity in bo... by Xuehui Zhang, Xiang Pan, Xiang Pan, Bing Liu, Yibo Gao, Lupei Jiang, Xiaoxiao Chen, Xiaoxiao Chen, Deqiang Zhao, Yibei Wang, Haixia Hu, Xueli Zhao, Jiahui Lu, Koya Suzuki, Koya Suzuki, Yanfeng Zhang

“…By using a cross-lagged model, the study will explore causal relationships between self-esteem (SE), exercise self-efficacy (ESE), physical activity, and body composition.MethodsNinety-eight adolescents were randomly assigned to either the intervention group or the control group. …”
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Tensor Network Methods for Hyperparameter Optimization and Compression of Convolutional Neural Networks by A. Naumov, A. Melnikov, M. Perelshtein, Ar. Melnikov, V. Abronin, F. Oksanichenko

“…TetraOpt consistently demonstrated superior performance, effectively exploring the global optimization space and identifying configurations with higher accuracies. For model compression, we introduce a novel iterative method that combines CP, SVD, and Tucker tensor decompositions. …”
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Layer-level constitutive material model for representing non-linear stress-strain relationships in continuous carbon fiber-reinforced 3D-printed composites by Csenge Tóth, Blanka Ilinyi, László Kovács

“…A significant void content was found in the multidirectional specimens (19 %), which may account for the scatter in the test results and modeling discrepancies. Overall, we demonstrate the suitability of the proposed modeling method for describing nonlinear behavior, and it contributes to more accurate finite element models for 3D-printed thermoplastic composites.…”
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Adsorptive removal of heavy metal ions from model aqueous media using titanium metal-organic framework and its polyvinyl chloride functionalized composite by Abdul Naeem, Naila Masood, Tooba Saeed, Bashir Ahmad, Muhammad Farooq, Tabassum Malik, Gul-e-Rana Jamil

“…For achieving this purpose, the solvothermal method was used to synthesis Ti-MOF which was then functionalized with PVC for composite synthesis. …”
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Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland by Tonglin Fu, Dong Wang, Jing Jin

“…However, developing highly accurate and universal data- driven models using time-series analysis methods to achieve precise evaporation estimation remains a challenging. …”
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Addressing process-induced porosity variations in multiscale composite materials analysis using aggregated projection clustering and Halton sequence RVE sampling by Hamidreza Dehghani, Henri Perrin, Elias Belouettar-Mathis, Borek Patzák, Salim Belouettar

“…A challenge associated with the multiscale modeling of highly consolidated composites is the existing contact effects arising from the manufacturing process. …”
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Lateral vibration estimation of an elevator rope by sequential modal decomposition of elevator rope displacement observed near the traction sheave by Daisuke TAINAKA, Nanako MIURA, Keito SUMIDA, Arata MASUDA

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Benefits of specialist palliative care by identifying active ingredients of service composition, structure, and delivery model: A systematic review with meta-analysis and meta-regr... by Miriam J Johnson, Leah Rutterford, Anisha Sunny, Sophie Pask, Susanne de Wolf-Linder, Fliss E M Murtagh, Christina Ramsenthaler

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Microbial composition, assembly, and functional characteristics of generalized and specialized subcommunities under flooded paddy fields: long-term pesticide versus non-pesticide m... by Jing-Wen Wang, Jing-Wen Wang, Cai-Ting Han, Cai-Ting Han, Cai-Ting Han, Dong-Ming Wu, Dong-Ming Wu, Dong-Ming Wu, Wei Zhou, Wei Zhou, Miao Gao, Miao Gao, Yu-Shuang Li

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Development and Validation of a Risk Prediction Model Based on Inflammatory and Nutritional Composite Indicators for Posthepatectomy Liver Failure Following Radical Resection of He... by Li J, Chen M, Cai W, Yin D

“…A comparison was made of the predictive efficacy of the nomogram prediction model and the associated composite liver function score. …”
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Forecasting Significant Wave Height Intervals Along China’s Coast Based on Hybrid Modal Decomposition and CNN-BiLSTM by Kairong Xie, Tong Zhang

“…This study proposes a deep learning method based on buoy datasets collected from four research locations in China’s offshore waters over three years (2021–2023, 3-hourly). …”
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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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Improvement of Network Traffic Prediction in Beyond 5G Network using Sparse Decomposition and BiLSTM Neural Network by Rihab Abdullah Jaber Al Hamadani, Mahdi Mosleh, Ali Hashim Abbas Al-Sallami, Rasool Sadeghi

“…This study proposes an effective deep learning-based traffic prediction technique using BiLSTM (Bidirectional Long Short-Term Memory). The proposed method begins with preprocessing using K-SVD (K-means Singular Value Decomposition) to reduce dimensionality and enhance data representation. …”
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Experimental Investigation on Static Performance of Novel Precast Concrete Composite Slab–Composite Shear Wall Connections by Xiaozhen Shang, Ming Zheng, Yutao Guo, Liangdong Zhuang, Huqing Liang

“…The connection zones between precast concrete composite slabs and composite walls commonly experience severe reinforcement conflicts due to protruding rebars, significantly reducing construction efficiency. …”
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