Results 91 to 100 of about 4,577,308 (305)
Advanced Functional Materials, EarlyView.Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley +1 more source
Bayesian semi-parametric logistic and Poisson regression [PDF]
, 2007 The exciting feature of our proposed method is that it is also applicable to survival analysis to estimate hazard functions which should be studied further.
Kang, So-Hee
core +1 more source
new test for the parametric form of the variance function in nonparametric regression [PDF]
In the common nonparametric regression model the problem of testing for the parametric form of the conditional variance is considered. A stochastic process based on the difference between the empirical processes obtained from the standardized ...
Dette, Holger, van Keilegom, Ingrid
core
XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion
Advanced Functional Materials, EarlyView.Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei +4 more
wiley +1 more source
sglg: An R package to fit parametric and semi-parametric generalized log-gamma models
SoftwareXThe R package sglg provides a computational framework for fitting, summarizing, and evaluating parametric and semi-parametric generalized log-gamma regression models, together with several methods for their visualization.
Carlos A. Cardozo +2 more
doaj +1 more source
Comparing parametric and semi-parametric approaches for bayesian cost-effectiveness analyses in health economics [PDF]
We consider the problem of assessing new and existing technologies for their cost-effectiveness in the case where data on both costs and effects are available from a clinical trial, and we address it by means of the cost-effectiveness acceptability curve.
Andrea Tancredi, Caterina Conigliani
core
Advanced Healthcare Materials, EarlyView.Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Out-of-pocket health expenditures in Australia: A semi-parametric analysis, CHERE Working Paper 2006/15 [PDF]
Out-of-pocket health expenditures in Australia are high in international comparisons and have been growing at a faster rate than most other health costs in recent years.
Elizabeth Savage +2 more
core
Advanced Healthcare Materials, EarlyView.A spatially controlled embedded bioprinting strategy enables precise engineering of prevascularized multicellular spheroids within skin‐derived dECM bioinks. Optimized spheroid size, composition, and spacing promote vascular maturation, paracrine signaling, and tissue integration, resulting in enhanced angiogenesis, blood perfusion, and functional skin
Minjun Ahn +6 more
wiley +1 more source
Efficient Non-Parametric Function Induction in Semi-Supervised Learning [PDF]
There has been an increase of interest for semi-supervised learning recently, because of the many datasets with large amounts of unlabeled examples and only a few labeled ones.
Yoshua Bengio +2 more
core