Results 101 to 110 of about 423,513 (317)

Generalized nonlinear percentile regression using asymmetric maximum likelihood estimation

open access: yesCommunications for Statistical Applications and Methods, 2021
Juhee Lee, Young Min Kim
openaire   +2 more sources

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Mental health of intellectually gifted individuals: Investigating the nonlinearity of the relationship between intelligence and general mental health

open access: yesHealth Psychology Report
Background Despite intelligence being generally related to better mental health, individuals with extremely high levels of intelligence (also often referred to as gifted) are frequently viewed to be socially maladjusted, emotionally unstable, and ...
Stanisław K. Czerwiński   +2 more
doaj   +1 more source

Adaptive 4D‐Printed Vascular Stents With Low‐Temperature‐Activated and Intelligent Deployment

open access: yesAdvanced Functional Materials, EarlyView.
Microarchitected coronary artery stents were fabricated using a polycaprolactone (PCL)‐based shape memory polymer (SMP) composite via projection micro‐stereolithography (PµSL) 4D printing. By incorporating diethyl phthalate (DEP) as a plasticizer, the thermal transition temperature (Ttran) was modulated to about 37°C, enabling rapid and autonomous ...
Yannan Li   +12 more
wiley   +1 more source

Instrumental Variable Estimation of Nonlinear Errors-in-Variables Models [PDF]

open access: yes
In linear specifications, the bias due to the presence of measurement error in a regressor can be entirely avoided when either repeated measurements or instruments are available for the mismeasured regressor.
Susanne M. Schennach
core  

From In‐Silico Optimized Microfabrication to Experimental Validation: Engineering a Tridimensional Epi‐Intraneural Interface

open access: yesAdvanced Functional Materials, EarlyView.
An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti   +14 more
wiley   +1 more source

Cold Quad‐Modal Nanocomplex for Precise and Quantitative In Vivo Stem Cell Tracking

open access: yesAdvanced Functional Materials, EarlyView.
Multimodal albumin–bismuth sulfide–superparamagnetic iron oxide (ABS) nanocomplexes are developed for stem cell tracking across four different imaging modalities: MRI, MPI, MSOT, and CT. Combining its flexibility with high sensitivity, this quad‐modal imaging agent enables a robust quantification of ABS‐labeled stem cells in vivo.
Ali Shakeri‐Zadeh   +4 more
wiley   +1 more source

From Mechanics to Electronics: Influence of ALD Interlayers on the Multiaxial Electro‐Mechanical Behavior of Metal–Oxide Bilayers

open access: yesAdvanced Functional Materials, EarlyView.
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

The Asymptotic Distribution of Nonparametric Estimates of the Lyapunov Exponent for Stochastic Time Series [PDF]

open access: yes
This paper derives the asymptotic distribution of a smoothing-based estimator of the Lyapunov exponent for a stochastic time series under two general scenarios.
Oliver Linton, Yoon-Jae Whang
core  

Batch Nonlinear Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression

open access: yes, 2014
In this paper, we revisit batch state estimation through the lens of Gaussian process (GP) regression. We consider continuous-discrete estimation problems wherein a trajectory is viewed as a one-dimensional GP, with time as the independent variable.
Anderson, Sean   +3 more
core   +1 more source

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