Research on Benggang identification and deformation monitoring based on optical and Radar data. [PDF]
Liu H +6 more
europepmc +1 more source
Understanding extracellular vesicles in antiaging
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]
Villarroya-Carpio A +3 more
europepmc +1 more source
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
Current status and future challenges in the use of Earth Observation data for Civil Protection activities: the Italian case study. [PDF]
Taramelli A +6 more
europepmc +1 more source
Dupilumab in Cholinergic Urticaria: An Exploratory Phase 2 Investigator‐Initiated Study
Allergy, EarlyView.
Annika Gutsche +15 more
wiley +1 more source
Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
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
CISRMamba: Cross-Modal Interaction and Scan-Routing Mamba for Multi-Sensor Flood Inundation Mapping. [PDF]
Feng H +5 more
europepmc +1 more source
Dual‐Branch Network With Enhanced Feature Fusion for Improved Rice Classification Accuracy
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

