Results 141 to 150 of about 507,052 (301)
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Forecasting Irregularly Spaced UHF Financial Data: Realized Volatility vs UHF-GARCH Models [PDF]
A very promising literature has been recently devoted to the modeling of ultra-high-frequency (UHF) data. Our first aim is to develop an empirical application of Autoregressive Conditional Duration GARCH models and the realized volatility to forecast ...
Francois-Éric Racicot +2 more
core
Biologically derived and hybrid nonviral nanovectors are examined as distinct but convergent design approaches. Integrating synthetic components with biologically functionalized membranes allows efficient interactions with complex cellular environments.
Clara Baldari +10 more
wiley +1 more source
Detecting and Predicting Forecast Breakdowns [PDF]
We propose a theoretical framework for assessing whether a forecast model estimated over one period can provide good forecasts over a subsequent period.
Rossi, Barbara, Giacomini, Raffaella
core
Silicone breast implants are presented as a model system for understanding polymer permeation in vivo. Rather than representing material failure, “gel bleed” emerges from solution–diffusion transport‐mediated. By integrating polymer architecture, physicochemical transport, and biointerfacial processes, this review provides a unified framework that ...
D. Bouyer +12 more
wiley +1 more source
Combination of multivariate volatility forecasts [PDF]
This paper proposes a novel approach to the combination of conditional covariance matrix forecasts based on the use of the Generalized Method of Moments (GMM).
Alessandra Amendola, Giuseppe Storti
core
Conventional therapies suffer from poor blood–brain barrier (BBB) penetration and disordered ion/reactive oxygen species (ROS) homeostasis, hindering precise neurological treatment. Electrochemical strategies achieve accurate spatiotemporal regulation of neural homeostasis.
Xiaokang Hu +5 more
wiley +1 more source
Effects of Price Volatility and Surging South American Soybean Production on Short-run Soybean Basis Dynamics [PDF]
This study investigates the effects of South American production (SAP) and futures volatility on the soybean price dynamics in terms of their effects on the basis.
Houston, Jack E., Zhang, Rui (Carolyn)
core
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Realized Volatility Risk [PDF]
In this paper we document that realized variation measures constructed from high-frequency returns reveal a large degree of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which forecasting errors in ...
David E. Allen +2 more
core

