Results 91 to 100 of about 1,391,068 (260)
Machine learning offers the potential to revolutionize the inverse design of complex nanophotonic components. Here, we propose a novel variant of this formalism specifically suited for the design of resonant nanophotonic components.
Lenaerts Joeri +2 more
doaj +1 more source
ABSTRACT Aims This study aimed to explore the relationship between stress‐induced hyperglycemia (SIH) and in‐hospital medical complications in patients with acute stroke. Methods We enrolled 865,765 patients with acute stroke from the Chinese Stroke Center Alliance cohort.
Xintong Song +6 more
wiley +1 more source
Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
Nanophotonics has been an active research field over the past two decades, triggered by the rising interests in exploring new physics and technologies with light at the nanoscale.
Yao Kan, Unni Rohit, Zheng Yuebing
doaj +1 more source
Predictive and generative machine learning models for photonic crystals
The prediction and design of photonic features have traditionally been guided by theory-driven computational methods, spanning a wide range of direct solvers and optimization techniques.
Christensen Thomas +8 more
doaj +1 more source
Adaptive Designs for Optimal Observed Fisher Information
Expected Fisher information can be found a priori and as a result its inverse is the primary variance approximation used in the design of experiments.
Lane, Adam
core
Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies
ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan +22 more
wiley +1 more source
Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin +2 more
wiley +1 more source
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela +13 more
wiley +1 more source
Inverse-designed integrated biosensors
We propose a refractive index sensor in a silicon-on-insulator (SOI) platform inspired by the operation of multimode fiber sensors. The sensor utilizes an optimized SOI resonator through adjoint-based inverse design topology optimization. The device’s refractive index distribution is calculated with a suitable figure of merit tailored for ...
Azadeh Didari-Bader +2 more
openaire +2 more sources
Dynamic Attention Mixer-Based Residual Network Assisted Design of Holographic Metasurface
Multi-channel holographic metasurfaces have great potential for applications in wireless communications and radar. However, geometric phase-based multichannel metasurface units often have complex phase spectra, making the design of holographic ...
Lei Zhu +4 more
doaj +1 more source

