Results 121 to 130 of about 1,485,416 (350)

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
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, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

MBAN: multi-branch attention network for small object detection. [PDF]

PeerJ Comput Sci
Recent years small object detection has seen remarkable advancement. However, small objects are difficult to accurately detect in complex scenes due to their low resolution. The downsampling operation inevitably leads to the loss of information for small
Li L, Gao S, Wu F, An X.
europepmc   +3 more sources

Small Object Detection in Remote Sensing Images with Residual Feature Aggregation-Based Super-Resolution and Object Detector Network [PDF]

, 2021
Syed Muhammad Arsalan Bashir, Yi Wang
openalex   +1 more source

TA-YOLO: a lightweight small object detection model based on multi-dimensional trans-attention module for remote sensing images

Complex & Intelligent Systems
Object detection plays a vital role in remote sensing applications. Although object detection has achieved proud results in natural images, these methods are difficult to be directly applied to remote sensing images.
Minze Li, Yuling Chen, Tao Zhang, Wu Huang   +3 more
semanticscholar   +1 more source

A small‐target traffic sign detection algorithm based on partial conv and atrous spatial pyramid

IET Image Processing
Traffic sign detection is essential to an intelligent driving assistance system. The deep learning‐based algorithm proposed in this paper aims to address the issue of low detection accuracy caused by the small size and high density of traffic signs in ...
Yuqi Li, Zijian Wang, Han Zhang, Xinpeng Yao, Zhou Zhou, Xin Cheng   +5 more
doaj   +1 more source

Cell density–dependent nuclear‐cytoplasmic shuttling of SETDB1 integrates with Hippo signaling to regulate YAP1‐mediated transcription

FEBS Letters, EarlyView.
At low cell density, SETDB1 and YAP1 accumulate in the nucleus. As cell density increases, the Hippo pathway is gradually activated, and SETDB1 is associated with increased YAP1 phosphorylation. At high cell density, phosphorylated YAP1 is sequestered in the cytoplasm, while SETDB1 becomes polyubiquitinated and degraded by the ubiquitin–proteasome ...
Jaemin Eom, Jaewoong Jang, Jung Sun Park, Yong‐Kook Kang   +3 more
wiley   +1 more source

EBSE-YOLO: High Precision Recognition Algorithm for Small Target Foreign Object Detection [PDF]

, 2023
Shuohe Wang, Yongda Wang, Yujian Chang, Ruikang Zhao, Yansong She   +4 more
openalex   +1 more source

LAYN: Lightweight Multi-Scale Attention YOLOv8 Network for Small Object Detection

IEEE Access
Currently, with the widespread application of embedded technology and the continuous improvement of computational power in mobile terminals, the efficient deployment of algorithms on embedded devices, while maintaining high accuracy and minimizing model ...
Songzhe Ma, Huimin Lu, Jie Liu, Yungang Zhu, Pengcheng Sang   +4 more
semanticscholar   +1 more source

Inhibiting stearoyl‐CoA desaturase suppresses bone metastatic prostate cancer by modulating cellular stress, mTOR signaling, and DNA damage response

FEBS Letters, EarlyView.
Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson, Mackenzie K Herroon, Shane Mecca, Laimar C Garmo, Jacob Lindquist, Shrila Rajendran, Steve M. Patrick, Izabela Podgorski   +7 more
wiley   +1 more source

YOLO‐RSFM: An efficient road small object detection method

IET Image Processing
To tackle challenges in road multi‐object detection, such as object occlusion, small object detection, and multi‐scale object detection difficulties, a new YOLOv8n‐RSFM structure is proposed. The key improvement of this structure lies in the introduction
Pei Tang, Zhenyu Ding, Mao Lv, Minnan Jiang, Weikai Xu   +4 more
doaj   +1 more source