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
The Volatility of Thai Rice Price [PDF]
This study was conducted to explore the varying volatility of world rice price for the period 1961 to 2008 using monthly data. The paper provides estimates of two GARCH models, namely, GARCH and EGARCH which were used to capture the stochastic variation ...
Baharom, A.H. +3 more
core +1 more source
Chemoselective Sequential Polymerization: An Approach Toward Mixed Plastic Waste Recycling
Inspired by biological protein metabolism, this study demonstrates the closed‐loop recycling of mixed synthetic polymers via ring‐closing depolymerization followed by a chemoselective sequential polymerizations process. The approach recovers pure polymers from mixed feedstocks, even in multilayer formats, highlighting a promising strategy to overcome a
Gadi Slor +5 more
wiley +1 more source
Forecasting volatility in commodity markets [PDF]
Commodity prices have historically been among the most volatile of international prices. Measured volatility (the standard deviation of price changes) has not been below 15 percent and at times has been more than 50 percent.
Claessens, Stijn +3 more
core
Switching to non-affine stochastic volatility: A closed-form expansion for the Inverse Gamma model
This paper introduces the Inverse Gamma (IGa) stochastic volatility model with time-dependent parameters, defined by the volatility dynamics $dV_{t}=\kappa_{t}\left(\theta_{t}-V_{t}\right)dt+\lambda_{t}V_{t}dB_{t}$.
Langrené, Nicolas +2 more
core +2 more sources
Control of Polarization and Polar Helicity in BiFeO3 by Epitaxial Strain and Interfacial Chemistry
In BiFeO3 thin films, the interplay of interfacial chemistry, electrostatics, and epitaxial strain is engineered to stabilize homohelicity in polarization textures at the domain scale. The synergistic use of a Bi2O2‐terminated Aurivillius buffer layer and a highly anisotropic compressive epitaxial strain offers new routes to control the polar‐texture ...
Elzbieta Gradauskaite +5 more
wiley +1 more source
This paper extends the existing literature by assessing the pass-through of energy commodity price volatility to producer and consumer price volatility in the euro area at a disaggregated level.
César Castro +1 more
doaj +1 more source
The Protective Nature of Gold During Times of Oil Price Volatility: An Analysis of the COVID-19 Pandemic. [PDF]
Li Y, Umair M.
europepmc +1 more source
Volatility Spill-over in a Customs Union: The Case of South Africa Sheep Import from Namibia [PDF]
Prices guide economic agents’ resource allocation and output mix decisions. The extent of price transmission determines the nature of market integration. Volatility spill-over in spatially linked agricultural markets has been investigated, but not across
Oyewumi, Olubukola Ayodeju +1 more
core +1 more source
From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado +6 more
wiley +1 more source

