Results 211 to 220 of about 958,747 (333)

On Optimal Currency Areas: Common Shocks Versus Common Persistence of Shocks

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT The Optimal Currency Area (OCA) literature has been focusing on the co‐movement of business cycle shocks as a key policy criterion. We document in a simple Barro–Gordon framework that, in addition to a high correlation of shocks, a common persistence of shocks is a relevant OCA criterion.
Louisa Grimm   +2 more
wiley   +1 more source

Predictors for sentinel lymph node mapping failure using indocyanine green injection in apparent early stages of endometrial cancer: A single‐center prospective study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective The current study aimed to analyze predictive factors of sentinel lymph node mapping failure in apparently early stages of endometrial cancer using intracervical indocyanine green injection. Methods A single‐center prospective study was conducted between June 2019 and August 2023 at the Department of Gynecology and Obstetrics ...
Petra Bretová   +8 more
wiley   +1 more source

Ambient exposure to nitrogen dioxide and lung function: a multi-metric approach. [PDF]

open access: yesEnviron Monit Assess
Raz-Maman C   +3 more
europepmc   +1 more source

Uterine “twisting sign”: A new potential ultrasonographic soft marker for deep endometriosis

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective The objective of the current study was to evaluate the “twisting sign,” defined as uterine fundus rotation observed on transvaginal sonography (TVS), as a potential soft marker for deep endometriosis (DE) and its association with specific DE localizations and indirect signs.
Fabio Barra   +7 more
wiley   +1 more source

Toward Informative Representations of Blood‐Based Infrared Spectra via Unsupervised Deep Learning

open access: yesJournal of Biophotonics, EarlyView.
This study employs an unsupervised deep learning approach using a denoising autoencoder to distill blood‐based FTIR spectra into latent variables. By reducing noise and preserving essential information, the method enhanced lung cancer detection accuracy by 2.6%, providing a concise, clinically relevant representation of infrared spectra for improved ...
Corinna Wegner   +8 more
wiley   +1 more source

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