Results 141 to 150 of about 116,461 (347)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Foreign Exchange, Fractional Cointegration and the Implied-Realized Volatility Relation [PDF]
Neil Kellard +2 more
openalex +1 more source
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To +5 more
wiley +1 more source
The Information Content of Implied Volatility in the Hong Kong and Singapore Covered Warrants Markets [PDF]
This paper examines the informational content and predictive power of implied volatility over different forecasting horizons in a sample of European covered warrants traded in the Hong Kong and Singapore markets.
Cheny Chen, Hoa Nguyen, Ming-Hua Liu
core
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
Implied volatility of foreign exchange options: is it worth tracking? [PDF]
Market analysts and central banks often use the implied volatility of FX options as an indicator of expected exchange rate uncertainty. The aim of our study is to investigate the limits of this statistic.
Klára Pintér, Áron Gereben
core
3D porous carbons with tunable density are crucial for energy storage, separations, and load‐bearing applications; however, their fabrication is often constrained by shrinkage during pyrolysis. This study optimizes and demonstrates the versatility of a template–coating pair strategy, producing materials that largely retain their shape and hierarchical ...
Adarsh Suresh +7 more
wiley +1 more source
Gd‐doped BFO (BGFO) exhibits a ∼2‐order reduction in leakage current owing to its lowest content of oxygen vacancies. This leads to a ∼2.5‐fold increase in remnant polarization. These improvements in BGFO effectively boost charge separation and transportation, resulting in the greatest incident photon‐to‐current efficiency of 12.9 ± 0.73% and a ∼1.5 ...
Ming‐Wei Chu +7 more
wiley +1 more source
Implied Volatility and Risk Preference From Option Prices.
Kenneth S. Bartunek
openalex +2 more sources
A Hull and White Formula for a General Stochastic Volatility Jump‐Diffusion Model with Applications to the Study of the Short‐Time Behavior of the Implied Volatility [PDF]
Elisa Alòs +3 more
openalex +1 more source

