Results 81 to 90 of about 318,408 (265)
Sequence alignment, mutual information, and dissimilarity measures for constructing phylogenies
Background: Existing sequence alignment algorithms use heuristic scoring schemes based on biological expertise, which cannot be used as objective distance metrics.
Penner, Orion +8 more
core +1 more source
ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
Information Costs and Mutual Fund Flows [PDF]
This paper examines how investor and capital flows into mutual funds in the Swedish pension system are related to fund characteristics. Similarly to U.S.
Engström, Stefan, Westerberg, Anna
core
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Mutual information: a dependence measure for nonlinear time series [PDF]
This paper investigates the possibility to analyse the structure of unconditional or conditional (and possibly nonlinear) dependence in financial returns without requiring the specification of mean-variance models or a theoretical probability ...
Andreia Dionisio +2 more
core
COMPARISON OF THE PERFORMANCE OF ISLAMIC MUTUAL FUNDS vs. ETHICAL AND CONVENTIONAL MUTUAL FUNDS [PDF]
Mutual funds are one of the key contributors to the globalisation of financial markets and one of the main sources of capital flows to emerging economies.
ALRASHIDI, FALEH,M,F,E
core
Classification Active Learning Based on Mutual Information
Selecting a subset of samples to label from a large pool of unlabeled data points, such that a sufficiently accurate classifier is obtained using a reasonably small training set is a challenging, yet critical problem.
Jamshid Sourati +4 more
doaj +1 more source
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro +14 more
wiley +1 more source
The Multiple Sclerosis Severity Allele rs10191329A and Cognitive Function: A UK Biobank Study
ABSTRACT The genome‐wide association study of Multiple Sclerosis severity linked the genetic variant rs10191329A to long‐term disability and implicated brain resilience as a determinant of outcome. We hypothesised that rs10191329A might influence cognition in other neurological diseases and healthy controls.
Ioanna Zimianiti +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

