Results 51 to 60 of about 49,771 (291)
Advanced Science, EarlyView.This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang +11 more
wiley +1 more source
Research and implementation of Turbo decoding SOVA algorithm
Dianzi Jishu YingyongFor the application requirements of low-orbit satellite communication, in order to reduce interference and load, convolutional codes, Turbo codes and other channel coding methods are usually used to improve the reliability of transmission.
Wang Danfei, Song Junkang, Xia Huining
doaj +1 more source
Turbo codes: the phase transition
, 2000 Turbo codes are a very efficient method for communicating reliably through a noisy channel. There is no theoretical understanding of their effectiveness. In [1] they are mapped onto a class of disordered spin models.
Montanari, Andrea
core +2 more sources
Advanced Science, EarlyView.ABSTRACT The cytosine (C) modifications 5‐methylcytosine (mC) and 5‐hydroxymethylcytosine (hmC) are central regulatory elements of mammalian genomes. Both marks occur in double‐stranded DNA in either strand‐symmetric or ‐asymmetric fashion, but it is still poorly understood how this symmetry information is selectively read out by the nuclear proteome ...
Lena Engelhard +8 more
wiley +1 more source
Threshold Saturation for Spatially Coupled Turbo-like Codes over the Binary Erasure Channel [PDF]
, 2015 In this paper we prove threshold saturation for spatially coupled turbo codes (SC-TCs) and braided convolutional codes (BCCs) over the binary erasure channel.
Amat, Alexandre Graell i +2 more
core +2 more sources
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Advanced Science, EarlyView.The translation factor Eukaryotic translation initiation factor 5A (eIF5A) is essential for male fertility in mice. It supports the translation of proteins crucial for heterochromatin organization and acrosome formation. eIF5A deficiency disrupts chromocenter integrity, increases chromatin accessibility, and causes transcriptional dysregulation ...
Yuling Cai +15 more
wiley +1 more source
Iterative Decoding of Concatenated Codes: A Tutorial
EURASIP Journal on Advances in Signal Processing, 2005 The turbo decoding algorithm of a decade ago constituted a milestone in error-correction coding for digital communications, and has inspired extensions to generalized receiver topologies, including turbo equalization, turbo synchronization, and turbo ...
Phillip A. Regalia
doaj +1 more source
The statistical mechanics of turbo codes [PDF]
, 1999 The "turbo codes", recently proposed by Berrou et. al. are written as a disordered spin Hamiltonian. It is shown that there is a threshold Theta such that for signal to noise ratios v^2 / w^2 > Theta, the error probability per bit vanishes in the ...
Montanari, A., Sourlas, N.
core +3 more sources
Advanced Science, EarlyView.A mechanically robust, ROS‐responsive hydrogel is engineered to treat intervertebral disc degeneration by targeting the NF‐κB–LCN2 inflammatory feedback loop. By delivering wedelolactone specifically within oxidative niches, this system disrupts macrophage–disc cell crosstalk.
Zimei Wu +10 more
wiley +1 more source