Results 111 to 120 of about 5,507,494 (254)
Material procedure quality forecast based on genetic BP neural network
Material procedure quality forecast plays an important role in quality control. This paper proposes a prediction model based on genetic algorithm (GA) and back propagation (BP) neural network.
Bao-Hua Zheng
core +1 more source
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo +18 more
wiley +1 more source
Predicting Yarn Unevenness Using Improved BP Neural Network
The objective of this research is to predict yarn unevenness. The model of predicting yarn unevenness is built based on improved BP neural network. The improved BP neural networks are trained with HVI test results of cotton and USTER TENSOJET 5-S400 test
Hui Jun Li, Xin Hou Wang
core +1 more source
GCs reduce Parkin, leading to ACSL4 accumulation and PUFA‐phospholipid‐driven ferroptosis in BMSCs, which impairs osteogenesis and promotes adipogenesis, causing GIOP. Parkin restoration (via OE‐Parkin or Parkin‐LNP@DSS6) ubiquitinates and degrades ACSL4, inhibiting ferroptosis, rescuing bone formation, and rescues GIOP bone loss.
Li‐jiang Han +16 more
wiley +1 more source
Structural Polymorphism of polyG Inclusions Revealed by In Situ Cryo‐Electron Tomography
Correlative cryo‐electron tomography in primary cortical neurons and NIID mouse brain tissue reveals that polyG inclusions are interconnected ribbon‐like assemblies rather than canonical amyloid fibrils. Multiple compartment‐specific ribbon states show distinct 26S proteasome accessibility, while cytoplasmic ribbons contact and deform ER‐like ...
Yunwen Qian +12 more
wiley +1 more source
Slagging Process Simulation Based on Improved BP Neural Network
The slagging process in high temperature furnace smelting technology was simulated by improved BP neural network. According to the actual production condition, the improved algorithm was applied to determine the optimized neural network structure as 3-5 ...
Ruo Yu Zhou, Xiao Feng Li, Zong Xin Liu
core +1 more source
In NIID, expanded NOTCH2NLC repeats give rise to nuclear polyG inclusions. Tracer‐guided in situ cryo‐electron tomography enables cross‐scale structural analysis from mouse brain to native neuronal nuclei, revealing dense‐core/peripheral‐halo inclusions built from compact polyG ribbons.
Hui Dong +13 more
wiley +1 more source
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
[[abstract]]The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a self-organizing input space module to solve high-dimensional ...
C. M. Chen;Y. F. Lu;C. M. Hong
core
Design for novel enhanced weightless neural network and multi-classifier. [PDF]
Weightless neural systems have often struggles in terms of speed, performances, and memory issues. There is also lack of sufficient interfacing of weightless neural systems to others systems.
Lorrentz, Pierre
core
In MYC‐enforced B‐cell lymphoma, SOX5 occupies promoter‐proximal regulatory regions and is associated with reduced chromatin accessibility at the PCNP locus. PCNP repression promotes proliferative remodeling by limiting apoptosis and cell‐cycle restraint.
Yiyou Mao +6 more
wiley +1 more source

