Results 81 to 90 of about 2,575,077 (286)

Long-Term Dynamics of a Stochastic SIRV Model for TB with Random Disturbances

Journal of Optimization, Differential Equations and Their Applications
We investigate the long-term behavior of an epidemic using a stochastic SIRV (Susceptible-Infectious-Recovered-Vaccinated) model that incorporates time dependent parameters and random perturbations.
O. V. Panichek, O. A. Tymoshenko
doaj   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Fractional Gaussian Noise: Projections, Prediction, Norms

Fractal and Fractional
We examine the one-sided and two-sided (bilateral) projections of an element of fractional Gaussian noise onto its neighboring elements. We establish several analytical results and conduct a numerical study to analyze the behavior of the coefficients of ...
Iryna Bodnarchuk, Yuliya Mishura, Kostiantyn Ralchenko   +2 more
doaj   +1 more source

Finding Structures of Interest in a Large Data Set Using Factor Analysis

Austrian Journal of Statistics, 2016
In this paper we introduce a statistical method which can be used in combination with principal component analysis or factor analysis. Certain variables of a large data set which are of interest can be selected in order to calculate loadings and scores ...
Peter Filzmoser
doaj   +1 more source

Probability theory for random groups arising in number theory

, 2023
Melanie Matchett Wood
openalex   +1 more source

Cutaneous Phosphorylated Alpha‐Synuclein in Lewy Body Dementia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the test performance of cutaneous phosphorylated alpha‐synuclein (P‐SYN) in dementia with Lewy bodies (DLB), individuals with reduced Montreal Cognitive Assessment (MoCA) and healthy controls. Methods This is the first subgroup analysis of the Synuclein‐One study, a prospective, blinded study evaluating P‐SYN detection ...
Christopher H. Gibbons, Todd Levine, Charles H. Adler, Bailey Bellaire, Ningshan Wang, Pinky Agarwal, Georgina M. Aldridge, Alexandru Barboi, Daniel Claassen, Virgilio G. H. Evidente, Douglas Galasko, Alejandra Gonzalez‐Duarte, Ramon Gil, Mark Gudesblatt, Stuart H. Isaacson, Horacio Kaufmann, Pravin Khemani, Rajeev Kumar, Guillaume Lamotte, Andy J. Liu, Nikolaus R. McFarland, Mitchell G. Miglis, Adam Reynolds, Gregory A. Sahagian, Marie‐Helene Saint‐Hilaire, Julie B. Schwartzbard, Wolfgang Singer, Michael J. Soileau, Steven Vernino, Patricio Millar Vernetti, Oleg Yerstein, Roy Freeman   +31 more
wiley   +1 more source

Conditioning in Tropical Probability Theory. [PDF]

Entropy (Basel), 2023
Matveev R, Portegies JW.
europepmc   +1 more source

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt, Marius Ygonia, Ali Manouchehrinia, Philippe Lefrançois, Ingrid Kockum, Adil Harroud   +5 more
wiley   +1 more source

Comparison of classical, xgboost and neural network methods for parameter estimation in epidemic processes on random graphs

Franklin Open
The main goal of this paper is to quantitatively compare the performance of classical methods to XGBoost and convolutional neural networks in a parameter estimation problem for SIR epidemic spread. Since we model the underlying social network by flexible
Ágnes Backhausz, Edit Bognár, Villő Csiszár, Damján Tárkányi, András Zempléni   +4 more
doaj   +1 more source

Traumatic Microhemorrhages Are Not Synonymous With Axonal Injury

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Diffuse axonal injury (DAI) is caused by acceleration‐deceleration forces during trauma that shear white matter tracts. Susceptibility‐weighted MRI (SWI) identifies microbleeds that are considered the radiologic hallmark of DAI and are used in clinical prognostication.
Karinn Sytsma, Rhonda Mittenzwei, Heather Maioli, Amanda Kirkland, C. Dirk Keene, Ramon Diaz‐Arrastia, Christine Mac Donald, Chiara Maffei, Brian L. Edlow, Amber L. Nolan   +9 more
wiley   +1 more source