Results 91 to 100 of about 1,878,628 (322)
Exact Test of Independence Using Mutual Information
Using a recently discovered method for producing random symbol sequences with prescribed transition counts, we present an exact null hypothesis significance test (NHST) for mutual information between two random variables, the null hypothesis being that ...
Shawn D. Pethel, Daniel W. Hahs
doaj +1 more source
Mutual Information Loss in Pyramidal Image Processing
Gaussian and Laplacian pyramids have long been important for image analysis and compression. More recently, multiresolution pyramids have become an important component of machine learning and deep learning for image analysis and image recognition ...
Jerry Gibson, Hoontaek Oh
doaj +1 more source
Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani +8 more
wiley +1 more source
Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey +4 more
wiley +1 more source
Mutual Information Approximation
To provide an efficient approach to characterize the input-output mutual information (MI) under additive white Gaussian noise (AWGN) channel, this short report fits the curves of exact MI under multilevel quadrature amplitude modulation (M-QAM) signal inputs via multi-exponential decay curve fitting (M-EDCF).
Ouyang, Chongjun +2 more
openaire +2 more sources
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
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 +5 more
wiley +1 more source
Assessing Conceptual Complexity and Compressibility Using Information Gain and Mutual Information [PDF]
In this paper, a few basic notions stemming from information theory are presented with the intention of modeling the abstraction of relevant information in categorization tasks.
Fabien Mathy
doaj
Objective Antinuclear antibodies (ANAs) are present at high titers in 2% of the general population, but their clinical significance in individuals without an autoimmune (AI) disease is not known. We tested the hypothesis that the presence of a high ANA titer in non‐AI conditions is associated with disease.
Matthew Chung +7 more
wiley +1 more source
Objective We aimed to validate the Pediatric Arthritis Ultrasound Scoring System (PAUSS) for upper extremity joints in children with juvenile idiopathic arthritis (JIA). Methods Children with JIA were evaluated for elbow, wrist, or finger arthritis by clinical examination (CE) and musculoskeletal ultrasound (MSUS) with images scored according to the ...
Patricia Vega‐Fernandez +12 more
wiley +1 more source
ESG Information Conflicts in Mutual Funds
ESG rating divergence (ESGRD) and ESG decoupling represent the primary manifestations of ESG information conflicts. Although ESGRD and ESG decoupling have garnered significant attention, research predominantly focuses on their implications at the ...
Lei Ding, Xin Liu, Hu Wang
doaj +1 more source

