Results 91 to 100 of about 845,859 (278)

Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates

, 2019
We establish the first nonasymptotic error bounds for Kaplan-Meier-based nearest neighbor and kernel survival probability estimators where feature vectors reside in metric spaces.
Chen, George H.
core  

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

Feature selection for kernel methods in systems biology. [PDF]

NAR Genom Bioinform, 2022
Brouard C, Mariette J, Flamary R, Vialaneix N.   +3 more
europepmc   +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

Bayesian multitrait kernel methods improve multienvironment genome-based prediction. [PDF]

G3 (Bethesda), 2022
Montesinos-López OA, Montesinos-López JC, Montesinos-López A, Ramírez-Alcaraz JM, Poland J, Singh R, Dreisigacker S, Crespo L, Mondal S, Govidan V, Juliana P, Espino JH, Shrestha S, Varshney RK, Crossa J.   +14 more
europepmc   +1 more source

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

Electroencephalography-Based Pain Detection Using Kernel Spectral Connectivity Network with Preserved Spatio-Frequency Interpretability

Applied Sciences
Chronic pain leads to not only physical discomfort but also psychological challenges, such as depression and anxiety, which contribute to a substantial healthcare burden.
Santiago Buitrago-Osorio, Julian Gil-González, Andrés Marino Álvarez-Meza, David Cardenas-Peña, Alvaro Orozco-Gutierrez   +4 more
doaj   +1 more source

Kernel regression on matrix patterns

Lietuvos Matematikos Rinkinys, 2008
In this paper we propose a kernel-based regression model for matrix patterns (KRMP). The training algorithm is derived. The proposed model was empirically compared with traditional models.
Povilas Daniušis, Pranas Vaitkus
doaj   +1 more source

Decellularized Extracellular Matrix Scaffolds to Engineer the Dormant Landscape of Microscopic Colorectal Cancer Liver Metastasis

Advanced Healthcare Materials, EarlyView.
Decellularized liver extracellular matrix scaffolds provide a platform to study dormant liver‐metastatic colorectal cancer. They induce reversible dormancy, in combination with nutrient depletion and low dose chemotherapy, through cell cycle arrest and chemotherapy resistance.
Sabrina N. VandenHeuvel, Lucia L. Nash, Abigail J. Clevenger, Claudia A. Collier, Oscar R. Benavides, Sanjana Roy, Brinlee Goggans, Aelita Salikhova, Anvitha Tharakesh, Svasti Haricharan, Amber N. Stratman, Scott Kopetz, Alex J. Walsh, Shreya A. Raghavan   +13 more
wiley   +1 more source

Multi-Channel Features Spatio-Temporal Context Learning for Visual Tracking

IEEE Access, 2017
Visual tracking is a challenging issue in surveillance, human-computer Interaction, and intelligent robotics, among others. Managing appearance changes of the target object, illumination changes, rotations, non-rigid deformations, partial or full ...
Xiaoqin Zhou, Xiaofeng Liu, Chenguang Yang, Aimin Jiang, Bin Yan   +4 more
doaj   +1 more source