Results 141 to 150 of about 1,624,324 (312)

Associations between health care access and posttraumatic stress disorder symptoms among rural and urban lesbian, gay, bisexual, transgender, and queer adults

open access: yesJournal of Traumatic Stress, EarlyView.
Abstract Lesbian, gay, bisexual, transgender, and queer (LGBTQ+) individuals experience elevated rates of trauma exposure, minority stress, and posttraumatic stress disorder (PTSD). Yet, research examining how geographic location and LGBTQ+ identity shape PTSD outcomes is scant, particularly studies considering structural facilitators and barriers ...
Emily A. Kenyon   +6 more
wiley   +1 more source

Financial risk measurement with imprecise probabilities

open access: yesInternational Journal of Approximate Reasoning, 2008
The paper focuses on imprecise probabilities linked to financial risk measurement. After an overview on risk measurement without imprecise probabilities, the author provides notations and recalls about imprecise previsions. Then the connection between imprecise previsions and risk measurement is investigated, framing well known risk measures in the ...
openaire   +2 more sources

Highly Durable and Uniform Structural Coloration via Spray‐Coated Organic Mie Resonators Randomly Distributed in Three Dimensions

open access: yesLaser &Photonics Reviews, EarlyView.
This study demonstrates uniform, durable non‐iridescent structural coloration using polystyrene nanoparticles randomly embedded in a thick sodium silicate with absorptive additives. By suppressing the effects of the structure factor and multiple scattering, this approach achieves uniform coloration from the backscattering.
Jihun Kang   +3 more
wiley   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao   +3 more
wiley   +1 more source

Using multinomial and imprecise probability for non-parametric modelling of rainfall in Manizales (Colombia)

open access: yesIngeniería e Investigación, 2008
This article presents a rainfall model constructed by applying non-parametric modelling and imprecise probabilities; these tools were used because there was not enough homogeneous information in the study area.
Ibsen Chivatá Cárdenas
doaj  

Exceedance probabilities using Nonparametric Predictive Inference

open access: yesFranklin Open
Some statistical methods for extreme value analysis assume that the maximum observed value represents the endpoint of the support. However, in cases involving right-censored observations, it is often unclear whether the true value of a censored ...
Ali M.Y. Mahnashi   +2 more
doaj   +1 more source

What Is a Polyolefin? A Critical Overview of Ethylene Copolymers Used as Solar Photovoltaic Module Encapsulants

open access: yesProgress in Photovoltaics: Research and Applications, EarlyView.
Polyolefin encapsulants are gaining dominance in PV modules, yet confusion persists around PO, POE, and TPO definitions. This study clarifies terminology, reviews materials, and properties and proposes a taxonomy to improve understanding, communication, and reliability in solar module manufacturing.
Gernot Oreski   +14 more
wiley   +1 more source

Perturbation bounds and degree of imprecision for uniquely convergent imprecise Markov chains

open access: yes, 2016
The effect of perturbations of parameters for uniquely convergent imprecise Markov chains is studied. We provide the maximal distance between the distributions of original and perturbed chain and maximal degree of imprecision, given the imprecision of ...
Škulj, Damjan
core  

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 495-509, March 2025.
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy