Results 181 to 190 of about 12,385,044 (225)
Recent progress and challenges in top‐emitting quantum dot light‐emitting diodes
This review summarizes recent advances in top‐emitting quantum‐dot light‐emitting diodes (TE‐QLEDs), including device architectures, microcavity engineering, angular‐emission management, and operational stability, highlighting optical–electrical–thermal co‐optimization as the key pathway toward reliable, high‐performance TE‐QLEDs. Abstract Top‐emitting
Chengyi Chen +6 more
wiley +1 more source
Covariant Approach to the Geometric Dilution of Precision. [PDF]
Montesinos RS +2 more
europepmc +1 more source
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park +5 more
wiley +1 more source
<i>Omics</i> data in relative values are almost subcompositionally coherent. [PDF]
Martínez-Álvaro M +2 more
europepmc +1 more source
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Untangling biological complexity: A deep learning approach to separating multiple signals in single-cell data. [PDF]
Yau C.
europepmc +1 more source
Abstract Background Plant allometry theory developed in the last century focused on 2/3‐power scaling, determined by light interception considerations. More recently, 3/4‐power scaling based on the properties of vascular distribution networks has been proposed.
Cory Matthew +2 more
wiley +1 more source
JKO schemes with general transport costs. [PDF]
Rankin C, Wong TL.
europepmc +1 more source
From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization
ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez +6 more
wiley +1 more source

