scholarly journals Visualizing Timed, Hierarchical Code Structures in AscoGraph

2015 ◽  
Author(s):  
Grigore Burloiu ◽  
Arshia Cont
Keyword(s):  
Hierarchical Code

scholarly journals Computational design of orthogonal membrane receptor-effector switches for rewiring signaling pathways

2018 ◽  
Vol 115 (27) ◽  
pp. 7051-7056 ◽  
Author(s):  
M. Young ◽  
T. Dahoun ◽  
B. Sokrat ◽  
C. Arber ◽  
K. M. Chen ◽  
...  
Keyword(s):  
Signaling Pathways ◽  
G Protein ◽  
Dopamine D2 Receptor ◽  
D2 Receptor ◽  
High Specificity ◽  
Computational Design ◽  
Membrane Receptor ◽  
Membrane Receptors ◽  
Cellular Functions ◽  
Hierarchical Code

Membrane receptors regulate numerous intracellular functions. However, the molecular underpinnings remain poorly understood because most receptors initiate multiple signaling pathways through distinct interaction interfaces that are structurally uncharacterized. We present an integrated computational and experimental approach to model and rationally engineer membrane receptor-intracellular protein systems signaling with novel pathway selectivity. We targeted the dopamine D2 receptor (D2), a G-protein–coupled receptor (GPCR), which primarily signals through Gi, but triggers also the Gq and beta-arrestin pathways. Using this approach, we designed orthogonal D2–Gi complexes, which coupled with high specificity and triggered exclusively the Gi-dependent signaling pathway. We also engineered an orthogonal chimeric D2–Gs/i complex that rewired D2 signaling from a Gi-mediated inhibitory into a Gs-dependent activating pathway. Reinterpreting the evolutionary history of GPCRs in light of the designed proteins, we uncovered an unforeseen hierarchical code of GPCR–G-protein coupling selectivity determinants. The results demonstrate that membrane receptor–cytosolic protein systems can be rationally engineered to regulate mammalian cellular functions. The method should prove useful for creating orthogonal molecular switches that redirect signals at the cell surface for cell-engineering applications.

Hierarchical code assignment algorithm and state-based CDMA protocol for UWSN

2015 ◽  
Vol 12 (3) ◽  
pp. 50-61 ◽  
Author(s):  
Xiujuan Du ◽  
Chunyan Peng ◽  
Xiuxiu Liu ◽  
Yuchi Liu
Keyword(s):  
Code Assignment ◽  
Assignment Algorithm ◽  
Hierarchical Code

BP Network Optimization Based on Improved Genetic Algorithm

2012 ◽  
Vol 532-533 ◽  
pp. 1757-1763
Author(s):  
Wei Wei Sun ◽  
Yun Fei Yao ◽  
Chun Sheng Wang ◽  
Ye Gang Hu
Keyword(s):  
Genetic Algorithm ◽  
Network Optimization ◽  
Network Architecture ◽  
Training Method ◽  
Improved Genetic Algorithm ◽  
Bp Network ◽  
Network Training ◽  
Hierarchical Code ◽  
Adaptive Crossover ◽  
Crossover And Mutation

In view of the virtue and shortage of genetic algorithm and BP network, this paper proposes a new BP network training method based on improved genetic algorithm (IGA-BP). This algorithm uses hierarchical code, adaptive crossover and mutation, pruning similar chromosomes, dynamic supply new chromosomes and other operations, so the network structure and weight are optimized at the same time and the "premature" phenomenon is avoided. The simulation results show that the IGA-BP network architecture is simple, the convergence rate is quick, and has good approximation and generalization ability.

Summarizing Source Code with Hierarchical Code Representation

2021 ◽  
pp. 106761
Author(s):  
Ziyi Zhou ◽  
Huiqun Yu ◽  
Guisheng Fan ◽  
Zijie Huang ◽  
Xingguang Yang
Keyword(s):  
Source Code ◽  
Hierarchical Code

Woven Coded CPFSK With Hierarchical Code Structure

2007 ◽  
Vol 55 (9) ◽  
pp. 1661-1666
Author(s):  
Stefan Kempf ◽  
Sergo Shavgulidze ◽  
Martin Bossert
Keyword(s):  
Code Structure ◽  
Hierarchical Code

scholarly journals A principle of economy predicts the functional architecture of grid cells

eLife ◽  
2015 ◽  
Vol 4 ◽  
Author(s):  
Xue-Xin Wei ◽  
Jason Prentice ◽  
Vijay Balasubramanian
Keyword(s):  
Three Dimensions ◽  
Periodic Lattice ◽  
Grid System ◽  
Grid Cells ◽  
Grid Structure ◽  
Functional Architecture ◽  
Optimal Organization ◽  
Scale Ratio ◽  
Hierarchical Code ◽  
The Brain

Grid cells in the brain respond when an animal occupies a periodic lattice of ‘grid fields’ during navigation. Grids are organized in modules with different periodicity. We propose that the grid system implements a hierarchical code for space that economizes the number of neurons required to encode location with a given resolution across a range equal to the largest period. This theory predicts that (i) grid fields should lie on a triangular lattice, (ii) grid scales should follow a geometric progression, (iii) the ratio between adjacent grid scales should be √e for idealized neurons, and lie between 1.4 and 1.7 for realistic neurons, (iv) the scale ratio should vary modestly within and between animals. These results explain the measured grid structure in rodents. We also predict optimal organization in one and three dimensions, the number of modules, and, with added assumptions, the ratio between grid periods and field widths.

Hierarchical code acquisition for dual band GNSS receivers

2010 ◽  
Author(s):  
Francesco Bastia ◽  
Lina Deambrogio ◽  
Claudio Palestini ◽  
Marco Villanti ◽  
Raffaella Pedone ◽  
...  
Keyword(s):  
Dual Band ◽  
Code Acquisition ◽  
Hierarchical Code ◽  
Gnss Receivers
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