Results 111 to 120 of about 1,742,420 (301)
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park +12 more
wiley +1 more source
One‐Step Curcumin‐Mediated Multiphoton Lithography for Bioactive 3D Scaffolds
Curcumin‐mediated multiphoton lithography enables one‐step fabrication of highly architected complex gelatin methacryloyl scaffolds by exploiting curcumin as a multifunctional bioactive photoinitiator. The resulting 3D structures support mesenchymal stem cell adhesion, proliferation, and migration, while exhibiting dual antibacterial activity through ...
Myrto Charitaki +7 more
wiley +1 more source
Aging, Probability Weighting, and Reference Point Adoption: An Experimental Study [PDF]
We examine generational differences in risk-taking behavior by means of a laboratory experiment with monetary incentives. We estimate the parameterized models in the framework of cumulative prospect theory and examine the risk aversion, probability ...
Ayako Suzuki, Koichi Kume
core
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score [PDF]
We investigate the finite sample properties of a large number of estimators for the average treatment effect on the treated that are suitable when adjustment for observable covariates is required, like inverse probability weighting, kernel and other ...
Huber, Martin +2 more
core +2 more sources
Inverse Probability Tilting for Moment Condition Models with Missing Data [PDF]
We propose a new inverse probability weighting (IPW) estimator for moment condition models with missing data. Our estimator is easy to implement and compares favorably with existing IPW estimators, including augmented inverse probability weighting (AIPW)
Daniel Egel +2 more
core
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
IJMPR Didactic Paper: Weighting for Causal Inference in Mental Health Research
Objective Inverse probability weighting is a fundamental and general methodology for estimating the causal effects of exposures and interventions, but standard approaches to constructing such weights are often suboptimal.
Eric R. Cohn, José R. Zubizarreta
doaj +1 more source
Objectives: Left subclavian artery stenosis in patients requiring hemodialysis can cause coronary steal syndrome via the left internal thoracic artery (LITA) graft to the left anterior descending artery (LAD), potentially leading to graft failure.
Ryoma Oda, MD, PhD +6 more
doaj +1 more source
Correlated Charge Transport in an Organic Coulomb Glass
ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler +3 more
wiley +1 more source

