Results 111 to 120 of about 217,546 (313)
CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes
The organization methods of dependent (packet) error correction by the turbocodecs based both on a sub systematic convolutional codes with uniform threshold decoding algorithm and recursive systematic convolutional codes are considered. The effectiveness
E. G. Makeichik+2 more
doaj
Accurately predicting protein structure is of great significance in biological research. LightRoseTTA, a light‐weight deep graph network, to achieve prediction for proteins is presented. Notably, three highlights are possessed by LightRoseTTA: i) high‐accurate structure prediction for proteins; ii) high‐efficient training and inference; and iii) low ...
Xudong Wang+7 more
wiley +1 more source
Duality between Multidimensional Convolutional Codes and Systems [PDF]
Multidimensional convolutional codes generalize (one dimensional) convolutional codes and they correspond under a natural duality to multidimensional systems widely studied in the systems literature.
arxiv
Mitochondria across the entire neuromuscular system have been comprehensively reconstructed at different developmental stages using 3D electron microscopy. Fundamental structural principles related to synaptic function are preserved across development, and these morphologies are adapted to ensure effective neural circuit function.
J. Alexander Bae+9 more
wiley +1 more source
On Convolutional Coupled Codes [PDF]
This thesis is about convolutional coupled codes - codes constructed via concatenation of several outer systematic convolutional encoders and several inner systematic block encoders linked by divers interleavers. The code is nonsystematic, since only the redundancy produced from the outer and inner encoders is transmitted.
openaire +2 more sources
Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch+4 more
wiley +1 more source
Flight and freezing are two vital defensive behaviors in the process of avoiding natural enemies in mice. We investigated the neural activity in dPAG nuclei of mice under two defensive behaviors, and found different coding features between flight and freezing behaviors. Abstract Background Flight and freezing are two vital defensive behaviors that mice
Denghui Liu+5 more
wiley +1 more source
A construction technique for random-error-correcting convolutional codes [PDF]
Daniel J. Costello
openalex +1 more source
On negacyclic MDS-convolutional codes
New families of classical and quantum optimal negacyclic convolutional codes are constructed in this paper. This optimality is in the sense that they attain the classical (quantum) generalized Singleton bound. The constructions presented in this paper are performed algebraically and not by computational search.
openaire +3 more sources
scHeteroNet) is a novel graph neural network model that explicitly addresses heterophily in single‐cell sequencing data enabling accurate cell type annotation and novel cell type discovery. By leveraging heterophily‐aware message passing and novelty propagation mechanisms, scHeteroNet achieves superior performance in both cell annotation and detection ...
Jiacheng Liu+7 more
wiley +1 more source