Digital Architecture for CBNS-Based Complex Number Encoding and Arithmetic
Accurate and efficient representation of complex numbers is essential for the effective functioning of digital communication and signal processing systems, particularly in applications such as radar and optical systems.
M. Saranya +2 more
doaj +1 more source
Channel selection in motor imaginary-based brain-computer interfaces: a particle swarm optimization algorithm [PDF]
The number of electrode channels in a brain-computer interface affects not only its classification performance, but also its convenience in practical applications.
Lei Zhang, Qingguo Wei
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Pseudo-random number generation with -encoders
The [Formula: see text]-encoder is an analog circuit that converts an input signal [Formula: see text] into a finite bit stream [Formula: see text]. The bits [Formula: see text] are correlated and therefore are not immediately suitable for random number ...
Charlene Kalle +2 more
doaj +1 more source
On the sparsity of binary numbers
4 pages. While it is not directly within my original research focus on PDEs, it is connected to areas of Math education and computational ...
openaire +2 more sources
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang +22 more
wiley +1 more source
Testing an autoregressive structure in binary time series models [PDF]
This paper introduces a Lagrange Multiplier (LM) test for testing an autoregressive structure in a binary time series model proposed by Kauppi and Saikkonen (2008). Simulation results indicate that the two versions of the proposed LM test have reasonable
Henri Nyberg
core
Performance of likelihood-based estimation methods for multilevel binary regression models. [PDF]
By means of a fractional factorial simulation experiment, we. compare the performance of penalised quasi-likelihood (PQL), non-adaptive Gaussian quadrature and adaptive Gaussian quadrature in estimating parameters for multilevel logistic regression ...
Croux, Christophe, Callens, M
core +2 more sources
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source

