Results 221 to 230 of about 63,733 (300)

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song   +3 more
wiley   +1 more source

Retrospective image analysis for long‐term demography using Google Earth imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa   +2 more
wiley   +1 more source

The GABA<sub>A</sub> receptor RDL modulates the auditory sensitivity of malaria mosquitoes. [PDF]

open access: yesiScience
Ellis DA   +9 more
europepmc   +1 more source

Surface roughness measurements using UAV LiDAR and analysis of uncertainty factors

open access: yesRiver, EarlyView.
Abstract Surface root mean square height (SRMSH) is a key parameter characterizing surface roughness; it reflects soil hydrological properties and influences related physical processes. LiDAR offers an effective means for measuring SRMSH over large areas, yet the method involves several uncertainty factors that require further investigation.
Xiangdong Qin, Zhiguo Pang, Jingxuan Lu
wiley   +1 more source

Large‐Scale Cooperative Sulfur Vacancy Dynamics in Two‐Dimensional MoS2 From Machine Learning Interatomic Potentials

open access: yesSmall, EarlyView.
Sulfur vacancy dynamics in monolayer MoS2 are investigated using two machine learning interatomic potential (MLIP) approaches. Both accurately model vacancy migration, enabling nanosecond‐scale molecular dynamics simulations that uncover and explain mechanisms of cluster formation and line defect growth – in good agreement with recent experiments ...
Aaron Flötotto   +5 more
wiley   +1 more source

Newly Proposed Method With Noise-Reduction and Smoothing for Computational Fluid Dynamics Using Low-Resolution Medical Images. [PDF]

open access: yesInt J Numer Method Biomed Eng
Yanagita Y   +7 more
europepmc   +1 more source

Disc‐Toroid Hybrid Lipid Nanoparticles for Efficient Drug Encapsulation and Subcutaneous Delivery

open access: yesSmall, EarlyView.
This study demonstrates sub‐50 nm solid‐lipid nanoparticles with long‐term stability, high drug loading, and strong tissue compatibility. Disc‐toroid morphology is confirmed and may play a role in cellular interactions, while low cytotoxicity and minimal systemic permeation confirm depot‐like behavior. These nanoparticles represent a versatile platform
Zanelle van Niekerk   +9 more
wiley   +1 more source

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