Results 61 to 70 of about 293,870 (330)
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 use of Poisson regression in the sociological study of suicide [PDF]
This paper explains how Poisson regression can be used in studies in which the dependent variable describes the number of occurrences of some rare event such as suicide.
Hegedűs, Rita, Moksony, Ferenc
core +1 more source
A Tracer Diffusion Study of Diverse Photo‐Ionic Phenomena in Strontium Titanate
Two strong interfacial photo‐ionic effects are demonstrated for the model system SrTiO3 through the application of isotope exchange experiments: UV illumination is found to enhance the oxygen surface exchange coefficient by several orders of magnitude and to depress the surface space‐charge potential substantially.
David M. Schwenkel +3 more
wiley +1 more source
Bayesian Poisson Log-Bilinear Mortality Projections [PDF]
Mortality projections are major concerns for public policy, social security and private insurance. This paper implements a Bayesian log-bilinear Poisson regression model to forecast mortality.
Czado, Claudia, Delwarde, A., Denuit, M.
core +2 more sources
The ultrahard teeth of mollusks that feed on rocky substrates contain a wear‐resistant coating on their surfaces consisting of densely packed mesocrystalline magnetic nanoparticles within an organic matrix. These coatings display significant hardness and toughness through their highly controlled mesocrystalline architectures.
Taifeng Wang +7 more
wiley +1 more source
Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model [PDF]
Muhammad Wisal Khattak +4 more
openalex +1 more source
Ultrathin AlOxHy interlayers between aluminum films and polymer substrates significantly improve electro‐mechanical properties of flexible thin film systems. By precisely controlling interlayer thickness using atomic layer deposition, this study identifies an optimal interlayer thickness of 5–10 nm that enhances ductility and delays cracking.
Johanna Byloff +9 more
wiley +1 more source
A miscellaneous note on the equivalence of two poisson likelihoods
This note shows that the concept of an offset, frequently introduced in Poisson regression models to cope with ratetype data, can be simply treated with a regular Poisson regression model. Hence Poisson regression models requiring an offset can be fitted
Bohning, Dankmar +1 more
core +1 more source
Conductive Bonding and System Architectures for High‐Performance Flexible Electronics
This review outlines bonding technologies and structural design strategies that support high‐performance flexible and stretchable electronics. Bonding approaches such as surface‐activated bonding and anisotropic conductive films, together with system‐level architectures including buffer layers and island‐bridge structures, possess distinct mechanical ...
Kazuma Nakajima, Kenjiro Fukuda
wiley +1 more source
Compression‐Tension‐Asymmetry and Stiffness Nonlinearity of Collagen‐Matrigel Composite Hydrogels
Self‐assembled collagen hydrogel matrices are widely used in tissue engineering applications. These matrices stiffen and contract laterally under tension due to fiber alignment and soften and collapse under compression due to fiber buckling. It is demonstrated that filler materials, such as Matrigel, linearize the mechanical behavior of collagen ...
David Böhringer +9 more
wiley +1 more source

