Results 111 to 120 of about 531,541 (320)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.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
Crash of ’87 - Was it Expected? Aggregate Market Fears and Long Range Dependence [PDF]
We develop a dynamic framework to identify aggregate market fears ahead of a major market crash through the skewness premium of European options. Our methodology is based on measuring the distribution of a skewness premium through a q-Gaussian density ...
Nikola Gradojevic, Ramazan Gencay
core
Advanced Functional Materials, EarlyView.This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv +10 more
wiley +1 more source
A Versatile Distribution Based on the Incomplete Gamma Function: Characterization and Applications
MathematicsIn this study, we introduce a novel distribution related to the gamma distribution, referred to as the generalized incomplete gamma distribution. This new family is defined through a stochastic representation involving a linear transformation of a random
Jimmy Reyes +3 more
doaj +1 more source
Single Solid‐State Ion Channels as Potentiometric Nanosensors
Advanced Functional Materials, EarlyView.Single gold nanopores functionalized with mixed self‐assembled monolayers act as solid‐state ion channels for direct, selective potentiometric sensing of inorganic ions (Ag⁺). The design overcomes key miniaturization barriers of conventional ion‐selective electrodes by combining low resistivity with suppressed loss of active components, enabling robust
Gergely T. Solymosi +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
Chiral-odd generalized parton distributions for proton in a light-front quark-diquark model
, 2015 We present a study of the chiral-odd generalized parton distributions for $u$ and $d$ quarks in a proton using the light front wave functions of the scalar quark-diquark model for nucleon constructed from the soft-wall AdS/QCD correspondence.
Chakrabarti, Dipankar, Mondal, Chandan
core +1 more source
Advanced Functional Materials, EarlyView.This study presents a dynamic interaction between liquid resins and photopolymerized structures enabled by an in situ light‐writing setup. By controlling a three‐phase interface through localized photopolymerization, which provides physical confinement for the remaining uncured resin regions, the approach establishes a programmable pathway that ...
Kibeom Kim +3 more
wiley +1 more source
AGRIVITA Journal of Agricultural ScienceA character with a good genetic parameter can be used as a selection character. The study aims to identify a genotype with high production. The research was done in augmented, which is the methodology that does not use repetition for the F4 generation ...
Arvita Netti Sihaloho +4 more
doaj +1 more source
Imperfect Information and the Meltzer-Richard Hypothesis [PDF]
Despite a strong theoretical prediction that income skewness and redistribution should be positively linked, empirical evidence on this issue is mixed.
Christian Bredemeier
core