Results 141 to 150 of about 507,052 (301)

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
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]

open access: yes
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  

From Cell‐Derived Vesicles to Hybrid Nanovectors: Biological Membranes as Functional Blueprints for Gene Delivery

open access: yesAdvanced Healthcare Materials, EarlyView.
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]

open access: yes
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 as a Model System for Understanding Polymer Permeation in Soft Materials In Vivo

open access: yesAdvanced Healthcare Materials, EarlyView.
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]

open access: yes
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  

Blood–Brain Barrier Regulation: Evolving From Classic Strategies to Electrochemical Ion and Reactive Oxygen Species Control

open access: yesAdvanced Healthcare Materials, EarlyView.
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]

open access: yes
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

open access: yesAdvanced Materials, EarlyView.
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]

open access: yes
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  

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