Structure and Base Analysis of Receptive Field Neural Networks in a Character Recognition Task. [PDF]
Goga J +4 more
europepmc +1 more source
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura +2 more
wiley +1 more source
Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study. [PDF]
Attar ET.
europepmc +1 more source
S-Swin Transformer: simplified Swin Transformer model for offline handwritten Chinese character recognition. [PDF]
Dan Y, Zhu Z, Jin W, Li Z.
europepmc +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis. [PDF]
Shahariar Parvez AHM +7 more
europepmc +1 more source
Air-GR: An Over-the-Air Handwritten Character Recognition System Based on Coordinate Correction YOLOv5 Algorithm and LGR-CNN. [PDF]
Zhang Y, Li Z, Yang Z, Yuan B, Liu X.
europepmc +1 more source
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source
FAIR-Net: A Fuzzy Autoencoder and Interpretable Rule-Based Network for Ancient Chinese Character Recognition. [PDF]
Ge Y, Zhang Y, Roh SB.
europepmc +1 more source
Deep-Learning-Based Character Recognition from Handwriting Motion Data Captured Using IMU and Force Sensors. [PDF]
Alemayoh TT +3 more
europepmc +1 more source

