Results 71 to 80 of about 19,552 (217)

Israel's Post‐War Healthcare Obligations

Bioethics, EarlyView.
ABSTRACT Since the beginning of the Israel–Hamas war in 2023, the healthcare infrastructure within Gaza has been dismantled. While international humanitarian law mandates distinction between lawful targets (combatants and military objectives) and non‐lawful targets (civilians and civilian objects), and acknowledging the inherent complexities of ...
Daniel J. Hurst, Christopher A. Bobier
wiley   +1 more source

Dual Use Research of Concern—The Necessity of Global Bioethics Engagement

Bioethics, EarlyView.
ABSTRACT Dual use research of concern (DURC) refers to research conducted for legitimate scientific purposes that could also be misused to pose a significant threat to public health and safety, agricultural crops and other plants, animals, the environment, or national security.
Daniel J. Hurst, Christopher A. Bobier
wiley   +1 more source

Dynamic Hurst Exponent in Time Series

, 2019
The market efficiency hypothesis has been proposed to explain the behavior of time series of stock markets. The Black-Scholes model (B-S) for example, is based on the assumption that markets are efficient. As a consequence, it is impossible, at least in principle, to "predict" how a market behaves, whatever the circumstances.
Campos, Carlos Arturo Soto, Cantú, Leopoldo Sánchez, Veleros, Zeus Hernández   +2 more
openaire   +2 more sources

The Impact of Assessing Patients' Sense of Security on Nurses' Intent to Report Safety Events: A Factorial Survey Experiment

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aims To evaluate whether information about patients' poor sense of security in hypothetical vignette scenarios increases nurses' projected intent to report safety events. Design Quantitative, cross‐sectional factorial survey vignette experiment administered online.
Patricia S. Groves, Yelena Perkhounkova, Maria Hein, Peter James Abad   +3 more
wiley   +1 more source

Spectrum-based estimators of the bivariate Hurst exponent [PDF]

Physical Review E, 2014
We introduce two new estimators of the bivariate Hurst exponent in the power-law cross-correlations setting -- the cross-periodogram and local $X$-Whittle estimators -- as generalizations of their univariate counterparts. As the spectrum-based estimators are dependent on a part of the spectrum taken into consideration during estimation, a simulation ...
openaire   +3 more sources

Normal Stress Distribution of Rough Surfaces in Contact

, 2000
We study numerically the stress distribution on the interface between two thick elastic media bounded by interfaces that include spatially correlated asperities.
Alex Hansen, Barabási, Bouchaud, Bouchaud, Bouchon, Brown, Brown, Brown, Dieterich, Dmowska, Feder, Fernando A. de Oliveira, G. George Batrouni, Hansen, Jean Schmittbuhl, Landau, Lòpez, Mehrabi, Mendelsohn, Måløy, Power, Sahimi, Sayles, Schmittbuhl, Scholz, Simonsen, Stanley   +26 more
core   +2 more sources

Using National Survey Data to Estimate Healthcare Communication Disparities for Adults With Intellectual and Developmental Disabilities

Journal of Intellectual Disability Research, EarlyView.
ABSTRACT Background Previous studies have identified considerable health outcome disparities for adults with intellectual and developmental disabilities (IDD) as well as poor or ineffective communication between adults with IDD and their medical providers.
Jamie Koenig, Lauren Bishop
wiley   +1 more source

Fractal Heterogeneous Media

, 2009
A method is proposed for generating compact fractal disordered media, by generalizing the random midpoint displacement algorithm. The obtained structures are invasive stochastic fractals, with the Hurst exponent varying as a continuous parameter, as ...
Carbone, Anna, Chiaia, Bernardino M., Turk, Christian   +2 more
core   +1 more source

Adaptive Estimation for Weakly Dependent Functional Times Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro, Valentin Patilea, Myriam Vimond   +2 more
wiley   +1 more source

Anomaly Detection in Fractal Time Series with LSTM Autoencoders

Mathematics
This study explores the application of neural networks for anomaly detection in time series data exhibiting fractal properties, with a particular focus on changes in the Hurst exponent.
Lyudmyla Kirichenko, Yulia Koval, Sergiy Yakovlev, Dmytro Chumachenko   +3 more
doaj   +1 more source