Results 211 to 220 of about 716,844 (310)

Understanding extracellular vesicles in antiaging

open access: yesPeriodontology 2000, EarlyView.
Abstract Background Aging is a multifactorial process marked by gradual cellular dysregulation, regulated by hallmarks, including genomic instability, mitochondrial dysregulation, and chronic inflammation. Extracellular vesicles (EVs), especially exosomes, have emerged as pivotal mediators of cell‐to‐cell communication with potential roles in both ...
Paras Ahmad   +3 more
wiley   +1 more source

A SAR and optical remote sensing dataset in Seville for scientific research in agriculture. [PDF]

open access: yesSci Data
Villarroya-Carpio A   +3 more
europepmc   +1 more source

Quantification of dryland depositional environments across contrasting fluvio‐aeolian and fluvio‐lacustrine transects: An integrated subsurface and outcrop analogue study of the Organ Rock Formation, Utah, USA

open access: yesSedimentology, EarlyView.
ABSTRACT The standard subdivision of a distributive fluvial system (DFS) into proximal, medial and distal zones is typically based on the proportion of channel bodies and/or the degree of channel amalgamation, reflecting a downstream fining trend towards a mud‐prone terminal pinch‐out.
Oliver Button   +5 more
wiley   +1 more source

Dupilumab in Cholinergic Urticaria: An Exploratory Phase 2 Investigator‐Initiated Study

open access: yes
Allergy, EarlyView.
Annika Gutsche   +15 more
wiley   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

open access: yesThe 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

Dual‐Branch Network With Enhanced Feature Fusion for Improved Rice Classification Accuracy

open access: yesJournal of Sustainable Agriculture and Environment, Volume 5, Issue 4, December 2026.
ABSTRACT Accurate mapping of rice, one of the world's most important food crops, is critical for monitoring its growth, estimating yields, and supporting global food security. Most deep learning methods for crop classification rely on multi‐temporal optical remote sensing data. However, it is difficult to obtain sufficient ground‐truth samples for time‐
Rongfei Ma   +6 more
wiley   +1 more source

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