Calculation of Shear-Bearing Capacity of Aluminum Alloy-Concrete Composite Beam by Chenghua Li, Ziliang Lu

“…An improved shear capacity formula was derived based on the tension–compression bar model and the superposition method. The proposed formula achieved an average ratio of 1.018 to finite element results, with a standard deviation of 0.151, and the proposed formula was validated against 22 FEA models, demonstrating excellent agreement with numerical results and confirming its reliability for practical engineering applications. …”
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Decomposition Residual Odor Volatiles in Soil from a West Texas Environment by Jennifer Raymer, Jorge Ulises Rojas-Guevara, Paola Alexandra Prada-Tiedemann

“…After removal, the headspace of soil samples, taken from under the cadaver decomposition island (CDI), were analyzed once per week for a period of 4 weeks using solid phase micro extraction- gas chromatography/mass spectrometry (SPME-GC/MS) as the instrumental analysis method. …”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…We provide a comprehensive overview of the fundamental theory, methodological characteristics, and current challenges of EMD, covering five EMD-based methods: Hilbert-Huang Transform (HHT), Ensemble Empirical Mode Decomposition (EEMD), Multivariate Empirical Mode Decomposition (MEMD), Extreme Point Symmetric Mode Decomposition (ESMD), and Variational Mode Decomposition (VMD). …”
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Inequity in access to medications among communities in Eastern Ethiopia: a decomposition analysis by Dumessa Edessa, Fekede Asefa Kumsa, Girmaye Dinsa, Lemessa Oljira

“…Inequity was identified using a concentration index ranked by this composite indicator. Finally, we used RIF’s regression decomposition method to identify the significant contributors to the inequity. …”
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Single X-ray Projection Material Decomposition using a Mesh Projector by Fleur Linsen, Domenico Iuso, Jan Sijbers

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Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change by Robson Mateus Freitas Silveira, Angela Maria de Vasconcelos, Concepta McManus, Luiz Paulo Fávero, Iran José Oliveira da Silva

“…In this study, we develop a systematic methodology with multivariate models and machine learning algorithms to (i) model complex patterns of relationships or multi-phenotypic differences between the thermal environment and thermoregulatory, hormonal, biochemical, hematological and productive responses; and (ii) identify potential associations among biological relationships that may underlie shared and specific phenotypic patterns of adaptive responses. …”
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Transformer-Based Decomposition of Electrodermal Activity for Real-World Mental Health Applications by Charalampos Tsirmpas, Stasinos Konstantopoulos, Dimitris Andrikopoulos, Konstantina Kyriakouli, Panagiotis Fatouros

“…The model leverages pooling and trend-removal mechanisms to enforce physiologically meaningful decompositions. …”
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Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion by Longsheng Huang, Yu Zhu, Hanzeng Shao, Lei Tang, Yun Zhu, Gaohang Yu

“…In this paper, a Bayesian robust tensor decomposition method (MBRTF) based on the Markov chain Monte Carlo (MCMC) algorithm is proposed. …”
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APPLICATION OF DIFFERENTIAL TRANSFORMATION METHOD FOR SOLVING HIV MODEL WITH ANTI-VIRAL TREATMENT by Esther Y. Bunga, Meksianis Z. Ndii

“…In this paper, we present a mathematical model of HIV with antiviral treatment and construct a numerical scheme based on the differential transformation method (DTM) for solving the model. …”
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Offline reinforcement learning combining generalized advantage estimation and modality decomposition interaction by Kaixin Jin, Lifang Wang, Xiwen Wang, Wei Guo, Qiang Han, Xiaoqing Yu

“…Abstract Transformers show great potential in offline reinforcement learning via trajectory sequence modeling for action prediction. However, existing Transformer-based methods face limitations, such as ineffective trajectory stitching and the neglect of deep interactions within and between multimodal information in trajectories. …”
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Dynamical and Computational Analysis of Fractional Korteweg–de Vries-Burgers and Sawada–Kotera Equations in Terms of Caputo Fractional Derivative by N. S. Alharthi

“…The homotopy perturbation transform method (HPTM) and the Yang transform decomposition method (YTDM) are two sophisticated techniques employed to derive analytical solutions. …”
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A decomposition resolution approach for a production-inventory-distribution-routing problem by William de Paula Ferreira, Leonardo Carlos da Cruz, Michael David de Souza Dutra

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Color Consistency Anime Style Transfer Based on Hybrid Structural Decomposition Network by Jun Zhang, Yunhua Zhang

“…Experimental results demonstrate that our proposed model not only visually generates anime characters with realistic styles but also achieves superior performance in terms of Style FID and Semantic FID compared with state-of-the-art methods.…”
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Measuring the credit gap: a forecast combination approach by N. Kundan Kishor, Nam Nguyen

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A Novel Approach for Lateral Buckling Assessment of Double Tapered Thin-Walled Laminated Composite I-Beams by Masoumeh Soltani

“…The purpose of this paper is to introduce a simple and novel method for discussing the lateral-torsional stability of thin-walled symmetric balanced laminated beams with varying I-section. …”
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Fuzzy Galaxies or Cirrus? Decomposition of Galactic Cirrus in Deep Wide-field Images by Qing Liu, Roberto Abraham, Peter G. Martin, William P. Bowman, Pieter van Dokkum, Shany Danieli, Ekta Patel, Steven R. Janssens, Zili Shen, Seery Chen, Ananthan Karunakaran, Michael A. Keim, Deborah Lokhorst, Imad Pasha, Douglas L. Welch

“…In this paper, we present a technique for the photometric characterization of Galactic cirrus based on (1) extraction of its filamentary or patchy morphology and (2) incorporation of color constraints obtained from Planck thermal dust models. Our decomposition method is illustrated using a ~10 deg ^2 imaging data set obtained by the Dragonfly Telephoto Array, and its performance is explored using various metrics that characterize the flatness of the sky background. …”
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PCA-Kriging-Based Oscillating Jet Actuator Optimization and Wing Separation Flow Control by Qixiang Sun, Wanbo Wang, Jiaxin Pan

“…In the present study, the PCA method is used for the modal decomposition of the velocity distribution. …”
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Determination of Composition and Amount of Different Feeds to Produce Animal Products to Use in Agricultural Policy Studies in Iran by Seyed Majid Alimagham, Afshin Soltani, Behrouz Dastar, Taghi Ghoorchi

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Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis by Ben Gabrielson, Hanlu Yang, Trung Vu, Vince Calhoun, Tulay Adali

“…Generalizations of matrix decompositions to multidimensional arrays, called tensor decompositions, are simple yet powerful methods for analyzing datasets in the form of tensors. …”
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models of muscle spindles: From traditional methods to 3D bioprinting strategies by Yuannan Kang, Deepak M. Kalaskar, Darren J. Player

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