Event Structure and Non-Culminating Readings in Turkic by Sergei Tatevosov

“…Section two argues for a decompositional analysis of the accomplishment event structure, whereby activity and change of state subevents are kept representationally distinct. …”
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SICGNN: structurally informed convolutional graph neural networks for protein classification by YongHyun Lee, Eunchan Kim, Jiwoong Choi, Changhyun Lee

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Towards Numerical Method-Informed Neural Networks for PDE Learning by Pasquale De Luca, Livia Marcellino

“…This paper addresses these limitations by embedding the mathematical structure of implicit–explicit time integration schemes directly into neural network architectures. …”
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A Grouping Hotel Recommender System Based on Deep Learning and Sentiment Analysis by Fatemeh Abbasi, Ameneh Khadivar, Mohsen Yazdinejad

“…This study is aimed at designing a recommender system based on the explicit and implicit preferences of the customers in order to increase prediction’s accuracy. …”
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Fractional Order Mathematical Model for Predicting and Controlling Dengue Fever Spread Based on Awareness Dynamics by Ahmed S. Rashed, Mahy M. Mahdy, Samah M. Mabrouk, Rasha Saleh

“…The system of equations is solved using the Adomian Decomposition Method (ADM) since it converges rapidly to the exact solution and can give explicit analytical solutions. …”
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Multi-View Robust Tensor-Based Subspace Clustering by Esraa M. Al-Sharoa, Mohammad A. Al-Wardat

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The Dirichlet problem for elliptic equation with several singular coefficients by Tuhtasin G. Ergashev

“…In this paper, we find a unique solution of the Dirichlet problem for an elliptic equation with several singular coefficients in explicit form. When finding a solution, we use decomposition formulas and some adjacent relations for the Lauricella hypergeometric function in many variables.…”
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Analysis of a mathematical model for malaria using data-driven approach by Adithya Rajnarayanan, Manoj Kumar, Abdessamad Tridane

“…A key innovation lies in the introduction of a new transmission function that explicitly captures environmental dependencies, enhancing realism in the modeling of disease spread. …”
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Dynamics-Guided Support Vector Machines for Response Analysis of Steel Frame Under Sine Wave Excitation by Yao Wang, Huaiman Li

“…Classical explicit and implicit time integration methods, such as the central difference method and Newmark method, are widely used for dynamic response analysis of systems. …”
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Geometry Meets Attention: Interpretable Transformers via SVD Inspiration by Vasileios Arampatzakis, George Pavlidis, Nikolaos Mitianoudis, Nikos Papamarkos

“…Self-attention is a cornerstone of modern deep learning, yet its dense dot-product formulation offers limited interpretability and lacks explicit structural constraints. We propose SVD-inspired Attention (SVDA), a novel self-attention mechanism that introduces normalized query/key projections and a learnable diagonal spectral modulation, drawing direct motivation from the structure of Singular Value Decomposition (SVD). …”
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Beamforming for Multi-Bit Intelligent Reflecting Surface with Phase Shift-Dependent Power Consumption Model by Huimin Zhang, Qiucen Wu, Yu Zhu

“…To solve the implicit and nonlinear relationship, we introduce a selection matrix to explicitly represent the power consumption and the phase shift matrix of the IRS, respectively. …”
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Assessment of Spatiotemporal Wind Complementarity by Dirk Schindler, Jonas Wehrle, Leon Sander, Christopher Schlemper, Kai Bekel, Christopher Jung

“…This study investigates whether combining singular value decomposition with wavelet analysis can provide new insights into the spatiotemporal complementarity between wind turbine sites, surpassing previous findings. …”
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Temporal Evolution of the Hydrodynamics of a Swimming Eel Robot Using Sparse Identification: SINDy-DMD by Mostafa Sayahkarajy, Hartmut Witte

“…Additionally, the SINDy model has a compact form and can explicitly formulate the coupling phenomena amongst the modes. …”
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The global burden of depression attributable to childhood sexual abuse, intimate partner violence, and bullying victimization from 1990 to 2021: an analysis based on the global bur... by Zhuo Liu, Guo Mao

“…Decomposition analysis showed that population aging and growth drove most burden increases in middle- to low-SDI regions, while changes in exposure levels explained regional rises in bullying and IPV. …”
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Total positivity, Gramian matrices, and Schur polynomials by Pablo Díaz, Esmeralda Mainar, Beatriz Rubio

“…For polynomial bases, compact and explicit formulas for the bidiagonal decomposition were provided, involving integrals of Schur polynomials. …”
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2D nonlinear seismic response characteristics of a megacity-scale site under Ricker wavelets by Wei Ren, Yan-Zhen Wang, Jiao Zhu, Ding-Feng Zhao, Qi Wu, Guo-Xing Chen

“…Utilizing geological borehole data from the Suzhou urban area, a refined 2D finite element model with nonuniform meshes of a stratigraphic section crossing the Suzhou region was established. Within the ABAQUS/explicit framework, the spatial inhomogeneity of soils, including the spatial variation of S-wave velocity structures, was considered in detail. …”
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A hybrid recommendation system using association rule mining, i-ALS algorithm, and SVD++ approach: A case study of a B2B company by Thamer Saraei, Maha Benali, Jean-Marc Frayret

“…Our approach first involves generating a new explicit taxonomy based solely on textual product descriptions and extending the user–product matrix using association rule mining results. …”
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Long‐Term Trend and Seasonal Cycles of Gap‐Free Downscaled Diurnal/Nocturnal LST and the Interaction to Functional Plant Trait Under Tropical Monsoon Climate by Pham Viet Hoa, Nguyen An Binh, Giang Thi Phuong Thao, Nguyen Ngoc An, Pham The Trinh, Nguyen Quang Tuan, Nguyen Cao Hanh

“…Abstract Land surface temperature (LST) monitoring via Earth observation constellation will become optimized and consistent with spatiotemporal‐explicit characteristics. Besides, scientific evidence for the interaction between LST and vegetation biophysical variables remains limited through spatial large‐scale assessment and seamless long‐term tracking. …”
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Calculating the true level of predictors significance when carrying out the procedure of regression equation specification by Nikita A. Moiseev

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SABO-Optimized VMD for Seismic Damage Assessment of Frame Structures Considering Soil–Structure Interaction by Jian Zhou, Yaokang Zhang, Hehe Wang, Jinping Yang, Peizhen Li, Jingxia Wang

“…Therefore, we introduce a novel approach that explicitly incorporates SSI effects into parameter identification for frame structures, utilizing an optimized variational mode decomposition (VMD) technique. …”
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