Results 41 to 50 of about 282,422 (272)

Extracellular Vesicles Modulation by an Adiponectin Receptor Agonist Provides Cardioprotection for Myocardial Ischemic Injury

Advanced Healthcare Materials, EarlyView.
This study demonstrates that ALY688, a drug mimicking the heart‐protective hormone adiponectin, reduces myocardial ischemia injury. ALY688 increases the production of extracellular vesicles, which carry protective cargo including adiponectin itself.
Jialing Tang, Wing Yan Chung, Serena M. Pulente, Yubin Lei, Khang Nguyen, Eddie Tam, Nadya M. Morrow, Ilka Lorenzen‐Schmidt, Fengxia Xiao, Augusto Zani, Dylan Burger, Hye Kyoung Sung, Erin E. Mulvihill, Gary Sweeney   +13 more
wiley   +1 more source

Regularized linear discriminant analysis of EEG features in dementia patients

Frontiers in Aging Neuroscience, 2016
The present study explores if EEG spectral parameters can discriminate between healthy elderly controls (HC), Alzheimer’s disease (AD) and vascular dementia (VaD) using.
Emanuel Filipe Neto, Emanuel Filipe Neto, Felix Bießmann, Harald Aurlien, Helge Nordby, Tom Eichele, Tom Eichele, Tom Eichele   +7 more
doaj   +1 more source

Discriminant analysis involving count data [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2023
A situation giving rise to a violation of the normality assumption in discriminant analysis is that which involves count observations. For a two-variable case involving count observations, this paper presents a new discriminant analysis approach when ...
George Chinanu Mbaeyi, Chijioke Joel Nweke   +1 more
doaj  

A note on between-group PCA [PDF]

, 2004
In the context of binary classification with continuous predictors, we proove two properties concerning the connections between Partial Least Squares (PLS) dimension reduction and between-group PCA, and between linear discriminant analysis and between ...
Boulesteix, Anne-Laure
core   +3 more sources

Deep Linear Discriminant Analysis

, 2015
We introduce Deep Linear Discriminant Analysis (DeepLDA) which learns linearly separable latent representations in an end-to-end fashion. Classic LDA extracts features which preserve class separability and is used for dimensionality reduction for many classification problems. The central idea of this paper is to put LDA on top of a deep neural network.
Matthias Dorfer, Rainer Kelz, Gerhard Widmer   +2 more
openaire   +2 more sources

Multifunctional Bio‐Based Packaging for Perishable Foods: Structural Design, Scalable Fabrication, and Versatile Applications

Advanced Materials, EarlyView.
An overview of design principles and scalable fabrication strategies for multifunctional bio‐based packaging. Radiative cooling films, modified‐atmosphere films/membranes, active antimicrobial/antioxidant platforms, intelligent optical/electrochemical labels, and superhydrophobic surfaces are co‐engineered from material chemistry to mesoscale structure
Lei Zhang, Jiaqi Zhang, Mei Cui, Wei Qi, Renliang Huang, Rongxin Su, Kai Zhang   +6 more
wiley   +1 more source

Regularized linear discriminant analysis via a new difference-of-convex algorithm with extrapolation

Journal of Inequalities and Applications, 2023
In this paper, we transform the classical linear discriminant analysis (LDA) into a smooth difference-of-convex optimization problem. Then, a new difference-of-convex algorithm with extrapolation is introduced and the convergence of the algorithm is ...
Chunyan Wang, Wenjie Wang, Mengzhen Li
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Fast rate of convergence in high dimensional linear discriminant analysis

, 2010
This paper gives a theoretical analysis of high dimensional linear discrimination of Gaussian data. We study the excess risk of linear discriminant rules.
Girard, Robin
core   +3 more sources

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source