Results 121 to 130 of about 6,110,460 (312)
Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses. [PDF]
Xue A, Yazar S, Neavin D, Powell JE.
europepmc +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
The explainability of the latent variables is limited to the synthesis of electrocardiogram. [PDF]
Higaki A, Yamaguchi O.
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
This article endeavors to construct a composite indicator designed to facilitate the comparative assessment of institutional capacities across diverse political systems.
I. Ye. Gorelskiy
doaj +1 more source
Selection Strategies for Flexible Pressure Sensor Electrode Materials Toward Ultrafast Response
This study reveals, for the first time, how the electrode–organic interface governs the temporal performance of flexible pressure sensors. By pairing high‐conductivity CVD PEDOT with commonly used metal electrodes, the authors demonstrate that interfacial energy alignment dictates microsecond‐scale response, providing a straightforward design strategy ...
Jinwook Baek +11 more
wiley +1 more source
An instrumental variable model of multiple discrete choice [PDF]
This paper studies identification of latent utility functions in multiple discrete choice models in which there may be endogenous explanatory variables, that is explanatory variables that are not restricted to be distributed independently of the ...
Adam Rosen +2 more
core
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Pro-environmental intentions encourage individuals to make conscious decisions that help protect the environment, reduce waste, conserve resources, and preserve natural habitats.
Pavel Kotyza +14 more
doaj +1 more source
Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables. [PDF]
Brummer AB +7 more
europepmc +1 more source

