Results 111 to 120 of about 888,170 (241)
Subthalamic Nucleus Oscillatory Characteristics in Meige, Cervical Dystonia and Generalized Dystonia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Deep brain stimulation offers a unique opportunity to record neural activity of the basal ganglia. While much work in dystonia has focused on the globus pallidus internus, expanding research to investigate subthalamic nucleus (STN) activity in various dystonia types is critical to provide a comprehensive understanding of dystonia ...
Zhu Guan‐Yu +14 more
wiley +1 more source
RhoA and Rac1 as Mechanotransduction Mediators in Colorectal Cancer
Advanced Biology, EarlyView.Analysing RhoA and Rac1 protein levels in Colorectal cancer (CRC) samples under mechanical strain highlights their potential as diagnostic markers. Monitoring their activity could offer valuable insights into how cancer spreads, paving the way for new approaches to better understand and diagnose colorectal cancer.
Sharda Yadav +5 more
wiley +1 more source
A method for decoding the neurophysiological spike-response transform [PDF]
, 2009 Estee Stern +4 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.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
BP-LED decoding algorithm for LDPC codes over AWGN channels [PDF]
arXiv, 2017 A new method for low-complexity near-maximum-likelihood (ML) decoding of low-density parity-check (LDPC) codes over the additive white Gaussian noise channel is presented. The proposed method termed belief-propagation--list erasure decoding (BP-LED) is based on erasing carefully chosen unreliable bits performed in case of BP decoding failure.
arxiv
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.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
Generalized reliability-based syndrome decoding for LDPC codes [PDF]
arXiv, 2007 Aiming at bridging the gap between the maximum likelihood decoding (MLD) and the suboptimal iterative decodings for short or medium length LDPC codes, we present a generalized ordered statistic decoding (OSD) in the form of syndrome decoding, to cascade with the belief propagation (BP) or enhanced min-sum decoding.
arxiv
Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods [PDF]
, 2011 Carlton Chu +5 more
openalex +1 more source
Advanced Functional Materials, EarlyView.A flexible micro‐electrocorticography array with PEDOT:SS electrodes is shown to be compatible with ultra‐high magnetic field MRI up to 9.4 T. Multimodal brain monitoring is demonstrated by performing simultaneous blood oxygen level‐dependent functional MRI in parallel with electrophysiology.
Sagnik Middya +7 more
wiley +1 more source
What Makes a Pattern? Matching Decoding Methods to Data in Multivariate Pattern Analysis [PDF]
, 2012 Philip A. Kragel +2 more
openalex +1 more source