Results 81 to 90 of about 28,651,668 (327)
A Separation Algorithm for Improved LP-Decoding of Linear Block Codes
Maximum Likelihood (ML) decoding is the optimal decoding algorithm for arbitrary linear block codes and can be written as an Integer Programming (IP) problem. Feldman et al.
Hamacher, Horst W.+5 more
core +2 more sources
Complexity Reduction Method for BSAC Decoder [PDF]
This letter proposes a complexity reduction method to speed up the noiseless decoding of a bit-sliced arithmetic coding (BSAC) decoder. This scheme fully utilizes the group of consecutive arithmetic-coded symbols known as the decoding band and the significance tree structure sorted in order of significance at every decoding band.
In-Sung Lee, Yeonguk Ahn, Gyuhyeok Jeong
openaire +2 more sources
Activation of NF‐κB Signaling by Optogenetic Clustering of IKKα and β
This study presents an optogenetic approach for graded clustering of eGFP‐fused proteins using an eGFP‐specific nanobody and engineered Cryptochrome 2 variants. The method enables potent, reversible activation of NF‐κB signaling via endogenous pathways, as confirmed by RNA sequencing. This versatile system provides a spatially and temporally controlled
Alexandra Anna Maria Fischer+8 more
wiley +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
Beam search is a desirable choice of test-time decoding algorithm for neural sequence models because it potentially avoids search errors made by simpler greedy methods.
Berg-Kirkpatrick, Taylor+3 more
core +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir+8 more
wiley +1 more source
Rapid method for interconversion of binary and decimal numbers [PDF]
Decoding tree consisting of 40-bit semiconductor read-only memories interconverts binary and decimal numbers 50 to 100 times faster than current methods.
Lim, R. S.
core +1 more source
Wearable Haptic Feedback Interfaces for Augmenting Human Touch
The wearable haptic feedback interfaces enhance user experience in gaming, social media, biomedical instrumentation, and robotics by generating tactile sensations. This review discusses and categorizes current haptic feedback interfaces into force, thermal, and electrotactile stimulation‐based haptic feedback interfaces, elucidating their current ...
Shubham Patel+3 more
wiley +1 more source
An improved algorithm for Davida and Cowles's decoding method
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tzonelih Hwang, S.Y. Hwang
openaire +2 more sources