Results 91 to 100 of about 10,453 (290)

Bioinspired Mechanically Robust Organic–Inorganic Hybridized Bio‐Adhesives With up to 50% Inorganic Components by Bi‐Continuous Phase Engineering

Advanced Functional Materials, EarlyView.
A robust plant protein adhesive was prepared by fabricating a bi‐continuous organic–inorganic hybrid structure. Compared with traditional organic–inorganic hybrid adhesives, the addition amount of inorganic phase is increased from 0.2%–3.0% to 50%, and the strength and toughness are increased by 6 and 121 times, respectively.
Zheng Liu, Wenlong Luo, Xu Yang, Xin Zhang, Yuru Zhu, Jingchao Li, Jianzhang Li, Jing Luo, Zhezhe Zhou, Pingan Song, Qiang Gao   +10 more
wiley   +1 more source

Modeling and Forecasting Realized Volatility [PDF]

This paper provides a general framework for integration of high-frequency intraday data into the measurement, modeling and forecasting of daily and lower frequency volatility and return distributions.
Tim Bollerslev, Torben G. Andersen, Francis X. Diebold, Paul Labys   +3 more
core   +2 more sources

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

Evaluating Combined Forecasts for Realized Volatility Using Asymmetric Loss Functions

Econometric Research in Finance, 2018
In this work we provide the findings of a forecast combination analysis carried out on the realized volatility series of three market indexes (DAX, CAC, and AEX). Two volatility types (5 minutes, kernel) have been considered.
Giovanni De Luca, Giampiero M. Gallo, Danilo Carità   +2 more
doaj   +1 more source

Atomized Oxidative Polymerization as a 3D Printing Platform for Binder‐Free, Bulk Conductive Polymer Architectures

Advanced Functional Materials, EarlyView.
Co‐delivery of electrosprayed EDOT and oxidant enables bulk oxidative polymerization during layer‐by‐layer fabrication, creating stable, highly conductive 3D PEDOT structures. This Atomized Oxidative Polymerization (AOP) overcomes the surface deposition‐only and matrix‐limited conductivity of conventional Vapor Phase Polymerization (VPP) and PEDOT:PSS ...
Tazdik Patwary Plateau, Hiep Pham, Jonghyun Park   +2 more
wiley   +1 more source

Study on the Validity of Volatility Trading

FinTech
This study examines the role of volatility mean reversion in option pricing and evaluates the performance of commonly used volatility estimators within a broad market context.
Alberto Castillo, Jose Manuel Mira Mcwilliams   +1 more
doaj   +1 more source

Double‐Interpenetrating Composite Bioink for Multi‐Component 3D Bioprinting and Biofabrication

Advanced Functional Materials, EarlyView.
Marine‐polysaccharides‐derived double interpenetrating network hydrogel‐based bioink, combining the attributes of physical and ionic crosslinking, enables room‐temperature bioprinting of mechanically defined structures that can be handled and are cytocompatible.
Fabian Tribukait‐Riemenschneider, V. Prasad Shastri   +1 more
wiley   +1 more source

Forecasting Realized Volatility with Linear and Nonlinear Univariate Models [PDF]

In this paper we consider a nonlinear model based on neural networks as well as linear models to forecast the daily volatility of the S&P 500 and FTSE 100 futures.
Michael McAleer, Marcelo C. Medeiros
core  

Measuring and Forecasting Volatility in Chinese Stock Market Using HAR-CJ-M Model

Abstract and Applied Analysis, 2013
Basing on the Heterogeneous Autoregressive with Continuous volatility and Jumps model (HAR-CJ), converting the realized Volatility (RV) into the adjusted realized volatility (ARV), and making use of the influence of momentum effect on the volatility, a ...
Chuangxia Huang, Xu Gong, Xiaohong Chen, Fenghua Wen   +3 more
doaj   +1 more source