Toward experiment-guided AlphaFold: Researchers overcome AI tool's single-conformation limitation

The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...
AlphaGalileo

When Old Data Gains New Relevance: Historical Study on Brain Convolutions Confirmed After 150 Years - Renate Schweizer and her team receive the Replication …

When the Göttingen anatomist Rudolf Wagner examined a brain in 1856 that was later mistakenly believed to be that of the ...
IEEE

Lightweight Long and Short-Range Spatial-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

Abstract: In skeleton-based human action recognition domain, the methods based on graph convolution networks have great success recently. However, most graphical neural networks consider the skeleton ...
Nature

Efficient intelligent fault diagnosis method and graphical user interface development based on fusion of convolutional networks and vision transformers characteristics

Equipment failure refers to an abnormal state where a component or assembly deteriorates and loses its ability to perform a specified function. Based on this inherent characteristic, it is possible to ...
C&EN

Digging through the (Statistical) Dirt: A Reproducible Method for Single-Molecule Flicker Noise Analysis

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Flicker noise analysis has found widespread use in the molecular electronics community ...
Nature

Lifetime prediction of epoxy coating using convolutional neural networks and post processing image recognition methods

The rapid failure of organic coatings in deep-sea environments complicates accurate lifetime prediction. Given the rapid cracking characteristic on the coating surface in this environment, a ...
makeuseof

How to Unblur an Image: The 5 Easiest Methods

Nolen kickstarted their writing career in 2019 and possesses proficiency in video editing, photography, and graphic design. Their fascination with creative technology took root at the Academy of Sound ...
Scientific Research Publishing

Method of Multi-Mode Sensor Data Fusion with an Adaptive Deep Coupling Convolutional Auto-Encoder ()

To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the ...
MusicRadar

Fantastic (stock) plugins and how to use them: Logic Pro Space Designer

Get to grips with impulse responses and convolution reverb in our guide to one of Logic's most versatile reverb plugins When you purchase through links on our site, we may earn an affiliate commission ...
C&EN

A New Method for Determination of Optimal Borehole Drilling Location Considering Drilling Cost Minimization and Sustainable Groundwater Management

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
ahajournals.org

A Robust Deep Learning Segmentation Method for Hematoma Volumetric Detection in Intracerebral Hemorrhage

Hematoma volume (HV) is a significant diagnosis for determining the clinical stage and therapeutic approach for intracerebral hemorrhage (ICH). The aim of this study is to develop a robust deep ...