Results 111 to 120 of about 81,374 (218)

HSV-1 and risk of Alzheimer's disease

open access: yesThe Lancet, 1998
Itzhaki, RF   +3 more
openaire   +2 more sources

Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti   +7 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni   +9 more
wiley   +1 more source

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity   +8 more
wiley   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné   +8 more
wiley   +1 more source

Concurrent tunable structural color, luminescence, and afterglow in single ZnS: X@SiO2 spheres via SiO2‐nanoarmor and calcination decoupling collaborative strategy

open access: yesSmart Molecules, EarlyView.
For the first time, tunable structural color, luminescence, and afterglow are integrated into single ZnS:X@SiO2 spheres via a SiO2‐nanoarmor and calcination decoupling strategy, achieving 250–410 nm monodisperse wurtzite spheres with 91% phase conversion, 12.8% PLQY, and 12.27 s afterglow. Abstract The integration of structural color, photoluminescence,
Tianyi Liu   +3 more
wiley   +1 more source

Chronic Ulcer on the Vulva

open access: yes
JEADV Clinical Practice, EarlyView.
Farhanaz Panjshiri   +2 more
wiley   +1 more source

AI‐assisted automated endpoint interpretation for turbidity‐based digital LAMP using bright‐field microscopy

open access: yesVIEW, EarlyView.
Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen   +7 more
wiley   +1 more source

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