Results 91 to 100 of about 116 (116)
Abstract Sudden unexpected death in epilepsy (SUDEP) affects more than 3000 individuals annually, yet objective and scalable biomarkers to assess risk remain limited. Postictal generalized electroencephalogram suppression (PGES) has been proposed as a potential biomarker, but its quantification is often subjective and variable.
Steve D. Reddy +3 more
wiley +1 more source
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
ABSTRACT Toxicological assessment is essential in NP approval for health and medical applications. Although 2D cell culture has been widely used, 3D models, especially spheroids, provide better predictive value for toxicological risk assessments since they replicate complex cellular interactions more accurately.
Bianca Montenegro +5 more
wiley +1 more source
Cardiac MR Fingerprinting at 0.55T Using a Deep Image Prior for Joint T1, T2, and M0 Mapping
ABSTRACT Background 0.55T systems offer unique advantages and may support expanded access to cardiac MRI. Purpose To assess the feasibility of 0.55T cardiac MR Fingerprinting (MRF), leveraging a deep image prior reconstruction to mitigate noise. Study Type Phantom and prospective in vivo assessment.
Zhongnan Liu +9 more
wiley +1 more source
Power‐efficient Monte Carlo modeling of nonlinear light–matter interactions in turbid media is demonstrated using Apple Silicon–accelerated photon transport. The Metal‐base framework enables accurate simulation of spontaneous and stimulated Raman scattering, revealing detection‐dependent SRS efficiency while providing a scalable, energy‐efficient ...
Ilya Vladyko +2 more
wiley +1 more source
Comparing treatment outcomes of prolonged exposure therapy across trauma type and veteran status
Abstract This retrospective cohort study evaluated the effectiveness of prolonged exposure therapy (PE) across trauma types (combat, terror, civilian) and veteran status (military veterans vs. civilians) in a real‐world clinical setting. We hypothesized that individuals who experienced combat‐ and terror‐related trauma would have higher baseline ...
Nitsa Nacasch +5 more
wiley +1 more source
Efficient First‐Principles Inverse Design of Nanolasers
This article introduces a first‐principles inverse‐design framework for nanolasers that directly incorporates nonlinear lasing physics. By unifying steady‐state ab‐initio laser theory (SALT) with topology optimization, it reveals how spatial hole burning, gain saturation, and cavity‐emitter coupling shape laser performance, enabling efficient discovery
Beñat Martinez de Aguirre Jokisch +5 more
wiley +1 more source
Photonic Systolic Array for All‐Optical Matrix–Matrix Multiplication
A photonic systolic array is introduced, offering extreme parallelism in matrix‐matrix multiplication based on the synchronized movement of optical pulses along a crossbar array. Optical pulses traveling in perpendicular directions meet at freeform‐designed multiply‐accumulate units, each tailored to generate two signals whose intensity difference ...
Jungmin Kim, Qingyi Zhou, Zongfu Yu
wiley +1 more source
A compact and low insertion loss programmable photonic circuit is demonstrated based on a 7‐cell hexagonal waveguide mesh with a large free spectral range (FSR) of 31 GHz for a 6‐gate ring resonator configuration. Vernier rings and a dual‐injected ring configuration are demonstrated on this circuit with a further improved FSR of 93 GHz.
Yu Zhang +6 more
wiley +1 more source
Benchmarking Large Language Models for Polymer Property Predictions
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta +3 more
wiley +1 more source

