Results 61 to 70 of about 4,255 (254)
Penalty Strategies in Semiparametric Regression Models
This study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric ...
Ayuba Jack Alhassan +3 more
doaj +1 more source
Impedance of Nonelectroneutral Solid Electrolyte Interphases With Nanopores: A Theoretical Model
Physical modeling reveals that often‐neglected non‐electroneutrality and nanopores in the solid‐electrolyte interphase (SEI) govern the impedance behavior. Under nonreactive conditions, the low‐frequency constant‐phase element (CPE) phenomenon can be attributed to the nonelectroneutral local conditions in the SEI.
Chenkun Li, Jun Huang
wiley +1 more source
Exponentiated Generalized Weibull Exponential Distribution: Properties, Estimation and Applications
Real-life sciences rely heavily on statistical modeling because new applications and phenomena pop up constantly, increasing the demand for new distributions.
Anuwoje Ida L. Abonongo, John Abonongo
doaj +1 more source
Maximal uniform convergence rates in parametric estimation problems [PDF]
This paper considers parametric estimation problems with i.i.d. data. It focusses on rate-effciency, in the sense of maximal possible convergence rates of stochastically bounded estimators, as an optimality criterion, largely unexplored in parametric ...
Daniel McFadden, Walter Beckert
core
FOS3D: A Fluorescence‐Enabled Toolkit for Characterizing a Three‐dimensional Osteosarcoma Model
FOS3D describes fluorescent (F) osteosarcoma (OS) cells in a tri‐dimensional (3D) model. The study comprises three phases: development, where biofabrication parameters are tuned to achieve cytocompatibility and tumor‐specific mechanical properties in cell‐laden gelatin methacryloyl constructs; validation, where whole‐well fluorescence reading is ...
William Humble +9 more
wiley +1 more source
Lehmann-type family of location-scale t distributions with two degrees of freedom
This article introduces a three-parameter Lehman-type t distribution having 2 degrees of freedom, that is capable of fitting positive and negative skewed data sets.
Vikas Kumar Sharma +2 more
doaj +1 more source
Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source
Local GEL methods for conditional moment restrictions [PDF]
The principal purpose of this paper is to adapt to the conditional moment context the GEL unconditional moment methods described in Smith(1997, 2001) and Newey and Smith(2004).
Richard Smith
core
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
A photothermally enhanced hydrogel‐based thermoelectrochemical cell enables passive conversion of low‐grade heat and solar energy into electricity. The quasi‐solid device achieves high thermopower and stable long‐term operation under passive conditions.
Matteo Bevione +2 more
wiley +1 more source

