Results 101 to 110 of about 6,103 (201)

Rapamycin Exerts Its Geroprotective Effects in the Ageing Human Immune System by Enhancing Resilience Against DNA Damage

Aging Cell, Volume 25, Issue 2, February 2026.
Using in vitro DNA damage assays in human T cells, ex vivo profiling of aged immune subsets and a small placebo‐controlled in vivo study, authors show that low‐dose rapamycin, a potent life‐extending mTOR inhibitor, enhances resilience against DNA damage in the human immune system.
Loren Kell, Eleanor J. Jones, Nima Gharahdaghi, Daniel J. Wilkinson, Kenneth Smith, Philip J. Atherton, Anna K. Simon, Lynne S. Cox, Ghada Alsaleh   +8 more
wiley   +1 more source

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

Journal of Microscopy, Volume 301, Issue 2, Page 280-329, February 2026.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz, Sara Silva Pereira, David Kirchenbuechler, Leandro Lemgruber, Constadina Arvanitis   +4 more
wiley   +1 more source

Comparison of Imaging Models for Spectral Unmixing in Oil Painting. [PDF]

Sensors (Basel), 2021
Grillini F, Thomas JB, George S.
europepmc   +1 more source

Western Adults' Neural Responses to an Ambiguous Rhythm: Effects of Priming With and Without Active Attention

Psychophysiology, Volume 63, Issue 2, February 2026.
ABSTRACT Auditory rhythm perception involves bottom‐up encoding of timing information and top‐down maintenance of a particular interpretation, such as grouping beats to form meter. Top‐down meter perception can be measured using electroencephalographic responses like mismatch negativity (MMN), P3a, and Steady‐State Evoked Potentials (SSEPs). Previously
Erica Flaten, Chantal Carrillo, Laurel Trainor   +2 more
wiley   +1 more source

Anomaly-Guided Double Autoencoders for Hyperspectral Unmixing

Remote Sensing
Deep learning has emerged as a prevalent approach for hyperspectral unmixing. However, most existing unmixing methods employ a single network, resulting in moderate estimation errors and less meaningful endmembers and abundances.
Hongyi Liu, Chenyang Zhang, Jianing Huang, Zhihui Wei   +3 more
doaj   +1 more source

Superpixel spectral unmixing framework for the volumetric assessment of tissue chromophores: A photoacoustic data-driven approach. [PDF]

Photoacoustics, 2022
Grasso V, Willumeit-Rӧmer R, Jose J.
europepmc   +1 more source

AVIRIS‐3 Rapid Response to January 2025 Los Angeles Wildfires

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Wildfires in wildland‐urban interfaces (WUIs) are a growing concern due to their devastating impact on human communities and ecosystems. Low‐latency impact assessment is critical for wildfire response, yet immediate access to fire‐affected communities can be limited.
Megan Ward‐Baranyay, Red Willow Coleman, Mark Wronkiewicz, Francisco Ochoa, Daniel Sousa, Ceth W. Parker, David R. Thompson, Clayton D. Elder, Gregory S. Okin, K. Dana Chadwick, Kimberley Miner, John Chapman, Regina Eckert, Daniel Jensen, Robert O. Green, Philip G. Brodrick   +15 more
wiley   +1 more source

Temporal and spectral unmixing of photoacoustic signals by deep learning. [PDF]

Opt Lett, 2021
Zhou Y, Zhong F, Hu S.
europepmc   +1 more source

Model-based analysis of the relationship between endmember variability and temporal unmixing performance

GIScience & Remote Sensing
Temporal unmixing, an extension of traditional spectral unmixing in a multi-temporal context, leverages endmembers defined by their temporal signatures to decompose mixed pixel responses into fractional cover.
Da Zhang, Chen Shi
doaj   +1 more source

SSST-GAN: A Sampling-Based Spatial-Spectral Transformer and Generative Adversarial Network for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Transformer-based architectures have shown strong potential in hyperspectral unmixing due to their powerful modeling capabilities. However, most existing transformer-based methods still struggle to effectively capture and fuse spatial–spectral ...
Yu Zhang, Jiageng Huang, Yefei Huang, Wei Gao, Jie Chen   +4 more
doaj   +1 more source