Results 61 to 70 of about 645,498 (280)
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Counting Crowds with Perspective Distortion Correction via Adaptive Learning
Sensors, 2020 The goal of crowd counting is to estimate the number of people in the image. Presently, use regression to count people number became a mainstream method.
Yixuan Sun +4 more
doaj +1 more source
Dual Reconstructive Autoencoder for Crowd Localization and Estimation in Density and FIDT Maps
IEEE Access, 2022 This paper proposes crowd estimation technology to help authorities make the right decisions in times of crisis. Specifically, deep learning models have faced these challenges, achieving excellent results.
Felipe I. Lamas +6 more
doaj +1 more source
Crowd Counting Using Multiple Local Features
2009 Digital Image Computing: Techniques and Applications, 2009 In public venues, crowd size is a key indicator of crowd safety and stability. Crowding levels can be detected using holistic image features, however this requires a large amount of training data to capture the wide variations in crowd distribution.
David Ryan +3 more
openaire +2 more sources
FEBS Open Bio, EarlyView.Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya +2 more
wiley +1 more source
Real-time anomaly detection and localization in crowded scenes [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 In this paper, we propose a method for real-time anomaly detection and localization in crowded scenes. Each video is defined as a set of non-overlapping cubic patches, and is described using two local and global descriptors. These descriptors capture the video properties from different aspects.
Mohammad Sabokrou +3 more
openaire +3 more sources
Crowding in or crowding out? How local government debt influences corporate innovation for China
PLOS ONE, 2021 The pressure upon local governments to redeem their debt could affect government fiscal ability. It could consequently affect their fiscal policies on corporations, which might distort corporate innovation. Based on the data of Chinese Shanghai and Shenzhen A-share listed companies and the local government implicit short-term debt financed by local ...
Junbing Xu +4 more
openaire +5 more sources
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Evaluation Of Existing Software For Simulating Of Crowd At Masjid Al-Haram, [PDF]
, 2007 Crowd simulation has played an important role in solving situations such as building evacuation, crowd congestion, and pedestrian analysis. In order to improve the crowd congestion problem within and the surrounding area of the Masjid Al-Haram, we need a
Haron, F. +3 more
core +1 more source
Tracking Missing Person in Large Crowd Gathering Using Intelligent Video Surveillance
Sensors, 2022 Locating a missing child or elderly person in a large gathering through face recognition in videos is still challenging because of various dynamic factors.
Adnan Nadeem +7 more
doaj +1 more source