Results 81 to 90 of about 5,647,728 (213)
Clinical and Translational Discovery, Volume 6, Issue 6, December 2026.Abstract Background Personalized neoantigen vaccine design for glioma requires the integration of mutation‐derived peptide evidence, molecular properties, HLA coverage and finite manufacturing capacity. TAMAVAQ/Q‐TAMAVAQ combines quantum‐geometric descriptor representation with graph transport and auditable peptide‐panel assembly.
Ioannis Grigoriadis
wiley +1 more source
A permanent inequality for positive semidefinite matrices
The Electronic Journal of Linear Algebra, 2023 In this paper, we prove an inequality involving the permanent of a positive semidefinite matrix and its leading submatrices. We obtain a result in the similar spirit of Bapat-Sunder per-max conjecture.
openaire +3 more sources
The Unintended Consequences of Sugar‐Sweetened Beverage Taxes on Sales and Prices of Beer Beverages
Health Economics, Volume 35, Issue 12, Page 1814-1834, December 2026.ABSTRACT This paper estimates the causal effect of Berkeley's sugar‐sweetened beverage (SSB) tax on beer purchases and prices using retail scanner data from 2014 to 2015. Applying both synthetic control and difference‐in‐differences (DID) approaches, we find that the tax reduced beer purchases within Berkeley by 8.9%, while having a negligible effect ...
Lei Pan, Xiaoyong Zheng
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Some Inequalities for Sum and Product of Positive Semidefinite Matrices
, 1999 The purpose of this paper is to present some inequalities on majorization, unitarily invariant norm, trace, and eigenvalue for sum and product of positive semidefinite (Hermitian) matrices.
Bo-Yan Xi +5 more
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Optimal Experimental Design for Fast and Accurate Relaxation Time Measurements in Magnetic Resonance
Magnetic Resonance in Chemistry, Volume 64, Issue 12, Page 1001-1012, December 2026.We apply D‐optimal experimental design to relaxation constant estimation in NMR relaxometry. The resulting sampling schedules concentrate measurements where the signal is most sensitive to the relaxation constant. Compared with conventional linear or logarithmic spacing, D‐optimal designs achieve better estimation accuracy and precision with fewer ...
Natalie E. Klein +4 more
wiley +1 more source
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.ABSTRACT We extend the kernel‐based symplectic predictor introduced by Herkert et al. (2026) to a parameter‐augmented setting in which the learned flow‐map surrogate depends not only on the state, but also on additional variables such as physical parameters and macro time‐step sizes. The method uses a product kernel ansatz on a parameter and macro step
Robin Herkert +2 more
wiley +1 more source
Restricted Riemannian geometry for positive semidefinite matrices [PDF]
, 2023 We introduce the manifold of {\it restricted} $n\times n$ positive semidefinite matrices of fixed rank $p$, denoted $S(n,p)^{*}$. The manifold itself is an open and dense submanifold of $S(n,p)$, the manifold of $n\times n$ positive semidefinite matrices
Sun, Qiang +2 more
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Frequency‐dependent contraction rates for the Bayesian method to the inverse source problem
Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.Abstract This paper addresses an inverse source problem for acoustic waves in a range of frequencies. Our study has two main goals. First, although the problem is severely ill‐posed with a logarithmic stability estimate, we demonstrate, through careful analysis of the forward map's singular values, that increasing the frequency range enhances stability,
Pu‐Zhao Kow, Jenn‐Nan Wang
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On a decomposition of conditionally positive-semidefinite matrices
Linear Algebra and its Applications, 1981 AbstractA symmetric matrix C is said to be copositive if its associated quadratic form is nonnegative on the positive orthant. Recently it has been shown that a quadratic form x'Qx is positive for all x that satisfy more general linear constraints of the form Ax⩾0, x≠0 iff Q can be decomposed as a sum Q=A'CA+S, with Cstrictly copositive and S positive ...
Martin, D.H. +2 more
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Journal of Geophysical Research: Atmospheres, Volume 131, Issue 21, 16 November 2026.Abstract Methane (CH4 ${\text{CH}}_{4}$) is a critical greenhouse gas, and accurate monitoring of its vertical distribution is essential for understanding its radiative impact and identifying emission sources. This paper introduces a novel methodology using a physics‐constrained neural network based on soft constraints to retrieve CH4 ${\text{CH}}_{4}$
Rocco Giosa +12 more
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