Results 101 to 110 of about 120,097 (295)

Shape‐Morphing Nanoengineered Hydrogel Ribbons as Hemostats

Advanced Functional Materials, EarlyView.
This study introduces a self‐assembling, shape‐morphing nanoengineered hydrogel ribbon system that rapidly forms porous aggregates in situ for efficient hemostasis in trauma and surgical applications. Abstract Rapid and effective hemorrhage control remains a major challenge in trauma and surgical care, particularly for complex or noncompressible wounds.
Ryan Davis Jr, Saptarshi Biswas, Jacob Aragon, Asaf Dana, Jasmine Sureka, Vaaridhi Ramanuja, Jeevika Thazhaiselvam, Sarah E. Miller, Taylor H. Ware, Akhilesh K. Gaharwar   +9 more
wiley   +1 more source

Global Polynomial Kernel Hazard Estimation

Revista Colombiana de Estadística
This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator.
MUNIR HIABU, MARÍA DOLORES MARTÍNEZ-MIRANDA, JENS PERCH NIELSEN, JAAP SPREEUW, CARSTEN TANGGAARD, ANDRÉS M. VILLEGAS   +5 more
doaj   +1 more source

Unraveling Quantitative Sensing Mechanism and Predictive Molecular Metrics for High‐Performance OFET Amine Sensors

Advanced Functional Materials, EarlyView.
This study introduces a novel chloro boron subphthalocyanine/polymer blend OFET sensor achieving 0.005 ppb limit of detection for ammonia at room temperature and high selectivity against similar amines. An original theoretical framework is proposed to describe the sensing mechanism, relating analyte molecular volume and Lewis basicity to sensor ...
Kavinraaj Ella Elangovan, Matthew P. Confer, Rui Zhang, Siqing Wang, Jeffrey S. Moore, Rohit Bhargava, Ying Diao   +6 more
wiley   +1 more source

Nonstationary Density Estimation and Kernel Autoregression [PDF]

An asymptotic theory is developed for the kernel density estimate of a random walk and the kernel regression estimator of a nonstationary first order autoregression.
Joon Y. Park, Peter C.B. Phillips
core  

The Hilbert Kernel Regression Estimate

Journal of Multivariate Analysis, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Devroye, Luc, Györfi, Laszlo, Krzyżak, Adam   +2 more
openaire   +1 more source

Intrinsic Nanopore‐Assisted SnP2S6 Memristors With Ti Ion Dynamics for Compact Logic‐In‐Memory Hardware

Advanced Functional Materials, EarlyView.
Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun, Sanchali Mitra, Hongxi Su, Jiali Huo, Haofei Zheng, Michel Bosman, Yee Sin Ang, Kah‐Wee Ang   +7 more
wiley   +1 more source

Outlier Detection in Regression Using an Iterated One-Step Approximation to the Huber-Skip Estimator

Econometrics, 2013
In regression we can delete outliers based upon a preliminary estimator and re-estimate the parameters by least squares based upon the retained observations. We study the properties of an iteratively defined sequence of estimators based on this idea.
Søren Johansen, Bent Nielsen
doaj   +1 more source

Nonparametric methods for volatility density estimation

, 2009
Stochastic volatility modelling of financial processes has become increasingly popular. The proposed models usually contain a stationary volatility process.
Spreij, Peter, van Es, Bert, van Zanten, Harry   +2 more
core  

Novel Functional Materials via 3D Printing by Vat Photopolymerization

Advanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov, Patrick Fesser, Boris A. Bulgakov, Ulrich S. Schubert   +3 more
wiley   +1 more source

Symmetric Positive Semi-Definite Fourier Estimator of Spot Covariance Matrix with High Frequency Data

Risks
This paper proposes a nonparametric estimator of the spot volatility matrix with high-frequency data. Our newly proposed Positive Definite Fourier (PDF) estimator produces symmetric positive semi-definite estimates and is consistent with a suitable ...
Jiro Akahori, Reika Kambara, Nien-Lin Liu, Maria Elvira Mancino, Tommaso Mariotti, Yukie Yasuda   +5 more
doaj   +1 more source