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The KIF6‐RBP Complex Orchestrates mRNA Transport Required for Sperm Flagellar Assembly
Two homozygous deleterious KIF6 variants are identified in unrelated men with impaired sperm motility. Mouse models and multi‐omics analyses reveal that KIF6 cooperates with the RNA‐binding proteins FMRP and FXR1 to deliver mRNAs essential for sperm flagellar assembly, linking disrupted mRNA transport to reduced abundance of key structural and ...
Chunbo Xie +20 more
wiley +1 more source
Research on electromagnetic compatibility analysis of automation equipment based on generative adversarial networks and pulse sparse convolution. [PDF]
Ding W, Feng D.
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Mode Visualization and Control of Complex Lasers Using Neural Networks. [PDF]
Ng WK +9 more
europepmc +1 more source
Focal thalamic infrared neural stimulation propagates dynamical transformations in auditory cortex. [PDF]
Coventry BS, Luu CP, Bartlett EL.
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Fluoroscopy-Guided Motion Management in Particle Therapy: Evolution, Challenges, and AI-Enabled Opportunities. [PDF]
Li F, Furutani KM, Beltran CJ.
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Quantum pulse coupled neural network
Neural Networks, 2022Artificial neural network has been fully developed in recent years, but as the size of the network grows, the required computing power also grows rapidly. In order to take advantage of the parallel computing of quantum computing to solve the difficulties of large computation in neural network, quantum neural network was proposed.
Yaonan Zhang, Zhaobin Wang
exaly +4 more sources
Fault diagnosis based on pulse coupled neural network and probability neural network
Expert Systems With Applications, 2011Abstract In operation of mechanical equipment, fault diagnosis plays an important role. In this paper, a novel fault diagnosis method based on pulse coupled neural network (PCNN) and probability neural network (PNN) is presented. The shape information of shaft orbit provides an important basis for fault diagnosis.
Jianzhong Zhou, , Chaoshun Li
exaly +2 more sources
Image Fusion Using Pulse Coupled Neural Network and CNN
Lecture Notes in Computer Science, 2017Image fusion has been a hotspot in the area of image processing. How to extract and fuse the main and detailed information as accurately as possible from the source images into the single one is the key to resolving the above problem. Convolutional neural network (CNN) has been proved to be an effective tool to cope with many issues of image processing,
Kong Weiwei
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