Results 131 to 140 of about 5,737,630 (301)

Slice Sampling Mixture Models

open access: yes, 2009
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (Commun. Stat., Simul. Comput. 36:45–54, 2007).
Walker, S.   +8 more
core   +1 more source

Rheumatoid Arthritis and Coronary Artery Calcium Progression: A Case Cohort Analysis From ELSA‐Brasil

open access: yesArthritis Care &Research, EarlyView.
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada   +7 more
wiley   +1 more source

Zeroes of weakly slice regular functions of several quaternionic variables on non-axially symmetric domains [PDF]

open access: yes
In this research, we study zeroes of weakly slice regular functions within the framework of several quaternionic variables, specifically focusing on non-axially symmetric domains. Our recent work introduces path-slice stem functions, along with a novel $*
Dou, Xinyuan   +3 more
core   +3 more sources

A Rolling Simulation System for Reversing Rolling Mills

open access: yesMATEC Web of Conferences, 2018
In this work a rolling simulation system has been developed for rolling schedules which consists of multiple reversing rolling mills. A slice model approach is applied where the position of a slice can only be determined by considering total deformation.
Hanoglu Umut, Šarler Božidar
doaj   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

open access: yesArthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein   +3 more
wiley   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

open access: yesArthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling   +4 more
wiley   +1 more source

Twistor interpretation of slice regular functions

open access: yes, 2018
Given a slice regular function f:Ω⊂H→H, with Ω∩R≠∅, it is possible to lift it to surfaces in the twistor space CP3 of S4≃H∪{∞} (see Gentili et al., 2014).
Amedeo Altavilla, Altavilla A.
core   +1 more source

Chimeric human organoid and mouse brain slice co-cultures to study microglial function

open access: yesCell Reports
Summary: Studying the dynamic role of microglia in brain development and neurodegenerative diseases requires models that closely resemble the human brain environment.
Vasiliki Panagiotakopoulou   +9 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Two-Phase Traffic Intelligence for 6G SAGIN: Bayesian QoS Estimation and SLA-Conscious Slice Selection

open access: yesIEEE Access
The sixth generation (6G) of mobile networks is envisioned to support ultra-diverse services with highly heterogeneous Quality-of-Service (QoS) requirements, ranging from ultra-low latency and high reliability to massive connectivity and energy ...
Tugce Bilen
doaj   +1 more source

Home - About - Disclaimer - Privacy