Results 31 to 40 of about 47,794 (185)

Multipolar Resonances in Electro‐Optic Metasurfaces with Moderate Refractive Index

open access: yesAdvanced Photonics Research, EarlyView.
Electro‐optic nanoantennas with moderate refractive indices of 2.3 to 3.0 are numerically shown to sustain strong multipolar resonances, enabling efficient light confinement and EO tuning. Multipolar modes of even parity are most sensitive to variations in the refractive index.
Viktoriia E. Babicheva   +1 more
wiley   +1 more source

Parametric estimation of the driving L\'evy process of multivariate CARMA processes from discrete observations

open access: yes, 2012
We consider the parametric estimation of the driving L\'evy process of a multivariate continuous-time autoregressive moving average (MCARMA) process, which is observed on the discrete time grid $(0,h,2h,...)$.
Apostol   +44 more
core   +1 more source

Generalized Moment Generating Functions of Random Variables and Their Probability Density Functions

open access: yes, 2017
This paper seeks to develop a generalized method of generating the moments of random variables and their probability distributions. The Generalized Moment Generating Function is developed from the existing theory of moment generating function as the ...
Matthew Chukwuma Michael   +3 more
semanticscholar   +1 more source

Potent and Long‐Lasting Immunogenicity Generated by LNP‐mRNA gE Antigen Against Varicella Zoster Virus via an AI‐Assisted Pipeline

open access: yesAdvanced Science, EarlyView.
This study designs a novel mRNA‐LNP vaccine targeting VZV glycoprotein E (gE) for herpes zoster via an AI‐assisted pipeline. Validated in mice and rhesus macaques, the mRNA‐LNP vaccine shows strong humoral and cellular immune responses, with CD4+ T‐cell responses more effective and durable than Shingrix, offering a promising prophylactic option ...
Kai Dong   +6 more
wiley   +1 more source

vEMINR: Ultra‐Fast Isotropic Reconstruction for Volume Electron Microscopy With Implicit Neural Representation

open access: yesAdvanced Science, EarlyView.
vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang   +7 more
wiley   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

open access: yesAdvanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan   +9 more
wiley   +1 more source

A four moments theorem for Gamma limits on a Poisson chaos [PDF]

open access: yes, 2015
This paper deals with sequences of random variables belonging to a fixed chaos of order $q$ generated by a Poisson random measure on a Polish space.
Fissler, Tobias, Thaele, Christoph
core   +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

open access: yesAdvanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang   +6 more
wiley   +1 more source

Multiplying a Gaussian Matrix by a Gaussian Vector

open access: yes, 2017
We provide a new and simple characterization of the multivariate generalized Laplace distribution. In particular, this result implies that the product of a Gaussian matrix with independent and identically distributed columns by an independent isotropic ...
Mattei, Pierre-Alexandre
core   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

open access: yesAdvanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe   +4 more
wiley   +1 more source

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