Results 101 to 110 of about 19,234 (259)

Semiparametric Estimation of the Impacts of Longitudinal Interventions on Adolescent Obesity using Targeted Maximum-Likelihood: Accessible Estimation with the ltmle Package

Journal of Causal Inference, 2014
While child and adolescent obesity is a serious public health concern, few studies have utilized parameters based on the causal inference literature to examine the potential impacts of early intervention.
Decker Anna L., Hubbard Alan, Crespi Catherine M., Seto Edmund Y.W., Wang May C.   +4 more
doaj   +1 more source

VIVID: A qPCR‐Based Platform for Sensitive and Quantitative In Vivo Tracking of Extracellular Vesicles

Advanced Functional Materials, EarlyView.
This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian, Talin Ebrahimian, Jonathan Miranda O'Connor, Janusz Rak, Stephanie Lehoux, Maryam Tabrizian   +5 more
wiley   +1 more source

Lifetime survival and medical costs of lung cancer: a semi-parametric estimation from South Korea. [PDF]

BMC Cancer, 2020
Park HY, Hwang J, Kim DH, Jeon SM, Choi SH, Kwon JW.   +5 more
europepmc   +1 more source

Nano‐ and Micro‐Sized Solid Materials Used as Antiviral Agents

Advanced Functional Materials, EarlyView.
Due to the rise of viral infections in humans and possible viral outbreaks, the use of nano‐ or micro‐sized materials as antiviral agents is rapidly increasing. This review explores their antiviral properties against RNA and DNA viruses, either as a prevention or a treatment tool, by delving into their mechanisms of action and how to properly assess ...
Orfeas‐Evangelos Plastiras, Imelda Raczkiewicz, Peggy Bouquet, Jean‐Philippe Dacquin, Jeremy Dhainaut, Anne Goffard, Christophe Volkringer   +6 more
wiley   +1 more source

2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics

Advanced Functional Materials, EarlyView.
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit, Yifei Yang, Shawn Li, Yu‐Chia Chen, Qi Jia, Jian‐Ping Wang   +5 more
wiley   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

Carbon Contacts to Proteins Enable Robust, Biocompatible Electronic Junctions with Near‐Activation‐less Conduction Down to 10 K

Advanced Functional Materials, EarlyView.
A robust solid‐state protein junction with a semi‐transparent eC/Au electrode allows photoexcitation of the bacterio‐rhodopsin, bR layer, to isomerize the bR retinal. The resulting photo‐response shows the protein is functional in the solid‐state junction.
Shailendra K. Saxena, Sudipta Bera, Tatyana Bendikov, Israel Pecht, Mordechai Sheves, David Cahen   +5 more
wiley   +1 more source

Semi-parametric density estimation [PDF]

The local likelihood method of Copas (1995a) allows for the incorporation into our parametric model of influence from data local to the point t at which we are estimating the true density function g(t). This is achieved through an analogy with censored data; we define the probability of a data point being considered observed, given that it has taken ...
openaire  

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

spikeSlabGAM: Bayesian Variable Selection, Model Choice and Regularization for Generalized Additive Mixed Models in R

Journal of Statistical Software, 2011
The R package spikeSlabGAM implements Bayesian variable selection, model choice, and regularized estimation in (geo-)additive mixed models for Gaussian, binomial, and Poisson responses.
Fabian Scheipl
doaj