Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
Introduction One of the challenges in managing patients with hantavirus infection is accurately identifying individuals who are at risk of developing severe disease. Prompt identification of these ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed using repeated 24 hour dietary records and evaluated t ...
Vertical, convective, thermal energy transport is examined outside the box of microscale turbulent dispersion or unstable air ...
Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.
Background Foodborne diseases are an important cause of global morbidity and mortality, particularly among children who often ...
Influence of Elephant-Driven Vegetation Structure and Altitudinal Gradient on the Occurrence of the Endemic Mount Cameroon Francolin ...
Introduction Disability is linked to poor health outcomes and increased mortality, yet evidence on this relationship in sub-Saharan Africa is limited. This study investigated the association between ...
Abstract: Continuous variable quantum key distribution attracts increasing attention in recent years due to its potential high secret key rates and the compatibility with existing communication ...
Abstract: Free-space quantum cryptography holds significant potential for enabling global quantum communication networks. This paper proposes a free-space continuous-variable quantum secret sharing ...
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