Results 81 to 90 of about 24,904 (254)
Advanced Science, EarlyView.MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia +4 more
wiley +1 more source
Convex Loss Applied to Design in Regression Problems
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1972 Summary A general linear regression function is to be observed at n points in order to estimate a known linear combination of the unknown parameters. The n points and the estimator are to be optimum in some sense and in this paper the main criterion for optimality involves uniformly minimizing certain convex loss functions.
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Modelling with twice continuously differentiable functions
Croatian Operational Research Review, 2014 Many real life situations can be described using twice continuously differentiable functions over convex sets with interior points. Such functions have an interesting separation property: At every interior point of the set they separate particular ...
Sanjo Zlobec
doaj
Advanced Science, EarlyView.Main Raman signals in RNA, related to helical backbone, ribofuranose ring, and nitrogenous bases, are affected by secondary structures that cause hyperchromic effects and significantly alter the Raman intensity. ABSTRACT Raman spectra of RNA nucleotide strands extracted from 20 SARS‐CoV‐2 strains, including the original Japanese isolate, Alpha, Beta ...
Giuseppe Pezzotti +11 more
wiley +1 more source
Orthogonality conditions for convex regression
Econometric identification generally relies on orthogonality conditions, which usually state that the random error term is uncorrelated with the explanatory variables. In convex regression, the orthogonality conditions for identification are unknown.
Dai, Sheng +2 more
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A Scalable Double‐Sided Wet Etching Strategy for Large‐Area Mushroom‐Shaped Bionic Adhesives
Advanced Science, EarlyView.This work presents a scalable manufacturing strategy for high‐performance, large‐area, mushroom‐shaped bio‐inspired adhesives. Using a double‐sided wet etching process, the complex 3D metal molds are fabricated rapidly and controllably. The resulting adhesive structures exhibit strong, stable adhesion under various conditions, including atmosphere and ...
Keju Ji +8 more
wiley +1 more source
Hybrid LASSO-SVQR Framework for Modeling Nonlinear Systemic Risk Dependencies
IEEE AccessConditional Value-at-Risk (CoVaR) has become a key measure for assessing systemic risk by capturing interdependencies among financial institutions. However, existing CoVaR estimation methods often rely on linear assumptions or non-convex models, limiting
Hasri Wiji Aqsari +4 more
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Advanced Science, EarlyView.Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang +5 more
wiley +1 more source
Softplus Regressions and Convex Polytopes
, 2016 33 pages + 12 page appendix, 15 figures, 10 ...
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Advanced Science, EarlyView.In this work, we present a bile‐based memristor hardware framework that enables direct, label‐free identification of cholelithiasis and gallbladder cancer at the device level. The Ag/bile/FTO memristor features stable resistive switching and disease‐specific electrical responses, providing a conceptual foundation for circuits and an integrated ERCP ...
Junming Zhu +17 more
wiley +1 more source