Results 91 to 100 of about 19,235 (216)
Plant Biotechnology Journal, EarlyView.ABSTRACT Ethylene is a key gaseous phytohormone that plays crucial roles in regulating plant growth, development and stress responses. However, ethylene‐associated biosynthetic and transcriptional regulatory mechanisms governing cold‐adaptation responses in plants remain poorly understood.
Yujun Hou +12 more
wiley +1 more source
Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe +3 more
wiley +1 more source
Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models
, 2015 Nonnegative matrix factorization (NMF) is a powerful class of feature extraction techniques that has been successfully applied in many fields, namely in signal and image processing.
Honeine, Paul, Zhu, Fei
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Glia, Volume 74, Issue 6, June 2026.Zebrafish pde6c mutants undergo photoreceptor degeneration from 5 dpf, but rods regenerate from 4 wpf. scRNA‐seq of retinal microglia reveals dynamic change of states between 5 dpf and 4 wpf. Two states emerge specifically during regeneration. ABSTRACT Microglia, brain‐resident immune cells, maintain brain homeostasis.
Darshini Ravishankar +2 more
wiley +1 more source
Spectral weighted sparse unmixing based on adaptive total variation and low-rank constraints
Scientific ReportsHyperspectral sparse unmixing, an image processing technique, leverages a spectral library enriched with endmember spectral information as a prerequisite.
Chenguang Xu
doaj +1 more source
Spectral Unmixing With Perturbed Endmembers
IEEE Transactions on Geoscience and Remote Sensing, 2017 We consider the problem of supervised spectral unmixing with a fully-perturbed linear mixture model where the given endmembers, as well as the observations of the spectral image, are subject to perturbation due to noise, error, mismatch, etc. We calculate the Fisher information matrix and the Cramer-Rao lower bound associated with the estimation of the
openaire +4 more sources
The FASEB Journal, Volume 40, Issue 9, 15 May 2026.Three weeks of fasting‐mimicking diet in female C57BL/6J mice increased pancreatic BNR4+ cells, PDX1+BRN4+ cells and insulin+glucagon+ cells after fasting in fluorescent multiplexed immunohistochemistry. Mice showed impaired glucose tolerance after fasting but not after refeeding after 2 weeks.
Clemens M. Harer +13 more
wiley +1 more source
Spectral imaging in preclinical research and clinical pathology. [PDF]
, 2012 Spectral imaging methods are attracting increased interest from researchers and practitioners in basic science, pre-clinical and clinical arenas. A combination of better labeling reagents and better optics creates opportunities to detect and measure ...
Beechem, Joseph +2 more
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Advanced Photonics Research, Volume 7, Issue 5, May 2026.This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain +7 more
wiley +1 more source
Hyperspectral Unmixing With Multi-Scale Convolution Attention Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral unmixing is to decompose the mixed pixel into the spectral signatures (endmembers) with their corresponding abundances. However, the ignorance of endmember variability in hyperspectral unmixing results in low performance.
Sheng Hu, Huali Li
doaj +1 more source