LsAP2 regulates leaf morphology by inhibiting CIN-like TCP transcription factors and repressing LsKAN2 in lettuce. [PDF]
Luo C +6 more
europepmc +1 more source
Radiative Cooling by Green(er) Solvents‐Upcycled Polyvinyl Chloride From Drug Blisters Waste
This study explores upcycling poly(vinyl chloride) (PVC) from used pharmaceutical blisters into sustainable radiative cooling materials. Using solvent separation and membrane fabrication, PVC was converted into white membranes paired with aluminum foil.
Andrea Lanfranchi +2 more
wiley +1 more source
Overexpression of <i>OsMYBS1</i> affect leaf morphology, photosynthesis, and agronomic performance in rice. [PDF]
Ma Y +7 more
europepmc +1 more source
Lighting Direction Affects Leaf Morphology, Stomatal Characteristics, and Physiology of Head Lettuce (Lactuca sativa L.). [PDF]
Wang M, Wei H, Jeong BR.
europepmc +1 more source
Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li +4 more
wiley +1 more source
StOSD1/UVI4 is crucial for accurate mitotic progression and the maintenance of leaf morphology in potato. [PDF]
Sun M +14 more
europepmc +1 more source
Cottonseed Protein, Oil, and Minerals in Cotton (Gossypium hirsutum L.) Lines Differing in Curly Leaf Morphology. [PDF]
Bellaloui N, Turley RB, Stetina SR.
europepmc +1 more source
Numerical Modeling of Photothermal Self‐Excited Composite Oscillators
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu +6 more
wiley +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Light and Shadows: Insights from Large-Scale Visual Screens for Arabidopsis Leaf Morphology Mutants. [PDF]
Juan-Vicente L, Ruiz-Bayón A, Micol JL.
europepmc +1 more source

