Results 61 to 70 of about 9,950,964 (296)

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

open access: yesFEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee   +2 more
wiley   +1 more source

Multi-sensor remote sensing information fusion for urban area classification and change detection [PDF]

open access: yes, 2011
Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection. A special acquisition (orthogonal) geometry is of great importance for optical and
Palubinskas, Gintautas   +5 more
core   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

‘Guide and Prejudice’— How Argonautes recognize targets across domains of life

open access: yesFEBS Letters, EarlyView.
Argonaute proteins use short nucleic‐acid guides to locate and regulate specific targets across all domains of life. Despite striking diversity—from human gene silencing to bacterial immune defence—all Argonautes share a conserved three‐stage recognition logic: guide‐directed sampling, progressive target pairing with a conformational checkpoint and ...
Jack P. K. Bravo
wiley   +1 more source

Multi-scale Feature Fusion Enhancement for Underwater Object Detection

open access: yesSensors
Abstract Underwater object detection (UOD) is crucial for marine ecosystem protection, ocean resource exploration, and maritime security. While generic object detection methods have shown success in atmospheric conditions, they fall short in the underwater environment.
Zhanhao Xiao   +5 more
openaire   +3 more sources

LFANet: Low-Altitude Remote Sensing Change Detection With Level-Wise Feature Fusion and Multi-Scale Aggregation for Land-Use Monitoring

open access: yesIEEE Access
With the rapid growth of low-altitude remote sensing for Earth observation, change detection faces many challenges, such as class imbalance, variations in illumination and imaging conditions, and false changes caused by geometric distortions.
Yanwen Xiong   +3 more
doaj   +1 more source

Review of the mathematical foundations of data fusion techniques in surface metrology [PDF]

open access: yes, 2015
The recent proliferation of engineered surfaces, including freeform and structured surfaces, is challenging current metrology techniques. Measurement using multiple sensors has been proposed to achieve enhanced benefits, mainly in terms of spatial ...
Wang, Jian   +4 more
core   +1 more source

Prospecting the protein design landscape

open access: yesFEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona   +4 more
wiley   +1 more source

A multi-factor collaborative electricity load forecasting method based on feature importance and multi-scale feature extraction

open access: yesEnergy and AI
In power systems, environmental fluctuations and electricity price volatility introduce uncertainties in user energy consumption behaviors, posing significant challenges to reliable energy planning.
Qiao Yan   +5 more
doaj   +1 more source

Ship Detection in SAR Images Based on Multi-Scale Feature Extraction and Adaptive Feature Fusion

open access: yes, 2022
Deep learning has attracted increasing attention across a number of disciplines in recent years. In the field of remote sensing, ship detection based on deep learning for synthetic aperture radar (SAR) imagery is replacing traditional methods as a ...
Min Zhang   +3 more
core   +1 more source

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