In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Flexible thin parts multi‐target positioning method of multi‐level feature fusion
In new energy battery manufacturing, machine vision is widely used in automated assembly scenarios for key parts. To improve the accuracy and real‐time multi‐target positioning recognition of flexible thin parts, this paper proposes a multi‐level feature
Yaohua Deng +3 more
doaj +1 more source
Medicallmage Retrieval Method Based on Multi Feature Hierarchical Fusion
In order to solve the problem of medical equipment image retrieval,an image retrieval method based on multi feature layer fusion is proposed. Process:This method using color moments to calculate the characteristics of color image,the LBP Operator is used
SHAH Qang, SUN Xiao-ming
doaj +1 more source
Multi‐feature fusion attention network for single image super‐resolution
Single Image Super‐Resolution algorithms have made enormous progress in recent years. However, many previous Convolution Neural Network (CNN) based Super‐Resolution algorithms only stack uniform convolution layers of fixed kernel size, and frequently ...
Jiacheng Chen +3 more
doaj +1 more source
Calpain small subunit homodimerization is robust and calcium‐independent
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
Fast and Accurate Super-Resolution of FY-2 Infrared Cloud Images via Multi-Scale Fusion Network
This paper proposes an effective method to improve the spatial resolution of FengYun-2 (FY-2) infrared cloud images via deep convolutional neural networks.
Yecai Guo, Pengfei Xiao, Mei Xue
doaj +1 more source
Attention‐based multi‐scale feature fusion for free‐space detection
Free space detection is a very important task in road scene understanding. With the continued development of convolutional neural networks, free‐space detection can be seen as a class‐specific semantic segmentation problem.
Pengfei Song +3 more
doaj +1 more source
Multi-Stage Multi-Scale Local Feature Fusion for Infrared Small Target Detection
The detection of small infrared targets with dense distributions and large-scale variations is an extremely challenging problem. This paper proposes a multi-stage, multi-scale local feature fusion method for infrared small target detection to address ...
Yahui Wang +3 more
doaj +1 more source
Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib
WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute +17 more
wiley +1 more source
A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving
Multi-sensor fusion object detection is an advanced method that improves object recognition and tracking accuracy by integrating data from different types of sensors.
Hai Wang +3 more
doaj +1 more source

