A scalable framework for UAV-based point cloud reconstruction and organ segmentation of field-grown cotton in complex field environments. [PDF]
Qiu H +9 more
europepmc +1 more source
Intravitreal AAV2‐mediated AKAP1 restoration enhances mitochondrial fusion and biogenesis, improves bioenergetic capacity, and preserves mitochondrial integrity in glaucomatous RGCs. AKAP1 stabilizes presynaptic structure, maintaining synaptic protein expression, and limiting complement‐associated neuroinflammation.
Tonking Bastola +10 more
wiley +1 more source
DDCANet for SiO<sub>2</sub>-mediated drought regulation research: high-precision segmentation and phenotypic detection of cucumber point clouds. [PDF]
Xia Y +9 more
europepmc +1 more source
A hygroscopic hydrogel layer functionalized with fullerene C60 tackles heat and dust challenges in bifacial photovoltaics (PV) panels. It resists soiling and photo‐aging, maintains high transparency, absorbs water vapor from the air during the night, and delivers strong evaporative cooling power during daytime, significantly lowering PV panel ...
Xiaoqi Zhou +6 more
wiley +1 more source
A look into the virosphere of clouds: A world yet to be explored. [PDF]
Rahlff J, Amato P.
europepmc +1 more source
Leveraging time-series point clouds for dynamic crop canopy monitoring: Quantifying phenotypic variability and assessing leaf-level photosynthetic contributions. [PDF]
Zhou J +6 more
europepmc +1 more source
An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang +9 more
wiley +1 more source
Computational challenges in exoplanet atmospheric retrieval. [PDF]
K Barstow J, Welbanks L.
europepmc +1 more source
This study develops a multimodal deep‐learning model that integrates clinical variables and histopathological images to predict survival outcomes in colorectal cancer. The multimodal model effectively stratifies patients into low‐ and high‐risk groups, demonstrating superior accuracy and generalizability across multiple independent cohorts.
Zhihan Jiang +12 more
wiley +1 more source
Detection of Polysaccharide Markers of Fungal Infections by Surface-Enhanced Raman Scattering and Machine Learning Methods. [PDF]
Zvyagina JY +12 more
europepmc +1 more source

