Sebastian Reich
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Ultralow‐Dimensionality Reduction for Identifying Critical Transitions by Spatial‐Temporal PCA
The proposed spatial‐temporal principal component analysis (stPCA) method analytically reduces high‐dimensional time‐series data to a single latent variable by transforming spatial information into temporal dynamics. By preserving the temporal properties of the original data, stPCA effectively identifies critical transitions and tipping points.
Pei Chen+6 more
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Construction of a Rh-doped SrTiO<sub>3</sub>/g-C<sub>3</sub>N<sub>4</sub> p-n heterojunction for enhanced photoelectrochemical performance. [PDF]
Nan F+6 more
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Graphene‐PEDOT:PSS fillers revolutionize soft electronics by transforming jelly‐like materials into skin‐like systems with self‐healing, heat‐responsiveness, and multiplex sensing capabilities. This novel material exhibits exceptional printability, flexibility, and adhesiveness, enabling seamless integration into bioelectronics and tissue‐cyborganic ...
Morteza Alehosseini+7 more
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Coherent manipulation of Goos-Hänchen shifts by forward and backward currents of complex conductivity in chiral medium. [PDF]
Ul Haq Z+4 more
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Nonlinear Hyperbolic Waves in Multi-Dimensions. Monographs and Surveys in Pure and Applied Mathematics, Vol. 121. [PDF]
Puja Prasad, S. T. Wu
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Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong+20 more
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Advancements in integral inequalities of Ostrowski type via modified Atangana-Baleanu fractional integral operator. [PDF]
Rahman G+4 more
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BIBLIOTHECA MATHEMATICA: A series of Monographs on Pure and Applied Mathematics Volume VII
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