Results 211 to 220 of about 308,158 (292)

Localized inflammasome inhibition mitigates foreign body response to subcutaneous long-acting antiretroviral therapy for HIV. [PDF]

J Control Release
Facchi I, Di Trani N, Caffey C, Nguyen TTL, Liu Y, Zheng J, Mai J, Pons-Faudoa FP, Xu Y, Chen SH, Kimata JT, Nichols JE, Chua CYX, Grattoni A.   +13 more
europepmc   +1 more source

Agreement and 2‐year trajectories of youth‐ and parent‐reported health‐related quality of life in youth with epilepsy treated with surgery vs medical therapy

Epilepsia, EarlyView.
Abstract Objective This cohort study examined the agreement between youth‐ and parent‐reported health‐related quality of life (HRQOL) of children treated with epilepsy surgery compared to medical therapy. A second aim was to evaluate whether changes in HRQOL over 2 years differed between the two groups, and to determine whether these trajectories ...
Mary Lou Smith, Klajdi Puka, Elysa Widjaja   +2 more
wiley   +1 more source

Tetracalcium Phosphate Graft for Implant Stabilization: Resonance Frequency and Histomorphometric Analysis in a Sheep Tibia Model. [PDF]

J Funct Biomater
Saltan DM, Ayşeşek N, Arısan V, Ersanlı S.   +3 more
europepmc   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

How plausible is my model? Assessing model plausibility of structural equation models using Bayesian posterior probabilities (BPP). [PDF]

Behav Res Methods
Pesigan IJA, Cheung SF, Wu H, Chang F, Leung SO.   +4 more
europepmc   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

The 2025 Centers for Disease Control and Prevention Nonoccupational HIV Postexposure Prophylaxis Guidelines: Updated Regimens and Remaining Questions. [PDF]

Clin Infect Dis
Allan-Blitz LT, Mayer KH.
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Discovering Serum Stable Protein-Protein Interaction Inhibitors with N‑Terminus-Capped Bicyclic Phage Libraries. [PDF]

JACS Au
Pinnette N, Yang F, Kong L, Han A, Hunt H, Gao J.   +5 more
europepmc   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source