Results 81 to 90 of about 13,553,800 (229)

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

Advanced Science, EarlyView.
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort, Jerome Geyer‐Klingeberg, Andreas Rathgeber, Suelen Barg   +3 more
wiley   +1 more source

Sparse principal component analysis

, 2010
Principal component analysis (PCA) is a widespread exploratory data analysis tool. Sparse principal component analysis (SPCA) is a method that improves upon PCA by increasing the number of zeros in the loading vectors of PCA results.
Dannenberg, F.G.W. (author)
core  

Leveraging Microphysiological Systems to Facilitate Neutrophil‐Based Cancer Immunotherapy

Advanced Science, EarlyView.
Microphysiological systems are emerging as powerful human‐relevant platforms for studying neutrophil biology in cancer. Current applications of spheroids, organoids, and organ‐on‐a‐chip models are reviewed, together with future opportunities in behaviorome profiling, multi‐omics integration, personalized medicine, immune crosstalk, and multi‐organ ...
Shuai Shao, Markus Isfeld Diehl, Caroline N. Jones   +2 more
wiley   +1 more source

A least squares approach to Principal Component Analysis for interval valued data [PDF]

Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core  

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 more
wiley   +1 more source

Sparse Principal Component Analysis Based on Least Trimmed Squares

, 2019
Sparse principal component analysis (PCA) is used to obtain stable and interpretable principal components (PCs) from high-dimensional data. A robust sparse PCA method is proposed to handle potential outliers in the data.
Stefan Van Aelst (117455), Yixin Wang (4589)   +1 more
core   +1 more source

scGEN: Leveraging an Adaptive Weighting Strategy for Challenging Cell Clustering in Single‐Cell RNA‐seq

Advanced Science, EarlyView.
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang, Dayu Hu, Yaqi Dai, Aoyi Geng, Renxiang Guan, Hao Quan, Brett A. McGregor, Zhihan Wang, Nadeem Khan, Hongsheng Zhang, Jinghua Zhang, Mingyang Xia, Xiaoqiong Gu, Di Che, Junguk Hur, Xiaoyu Cui, Kai Guo   +16 more
wiley   +1 more source

IRNDT Inspection Via Sparse Principal Component Thermography

, 2018
The recent applications in the field of thermography and Infrared Non-Destructive Testing (IRNDT) involved many different research fields, and in most of these applications well-known infrared approaches have been utilized for thermal image enhancement ...
Sfarra, Stefano, Yousefi, Bardia, Sarasini, Fabrizio, Fabrizio Sarasini, Stefano Sfarra, Maldague, Xavier P. V., Bardia Yousefi, Xavier P. V. Maldague   +7 more
core   +1 more source

Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues

Advanced Science, EarlyView.
Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali, Mangirdas Malinauskas, Giuseppe Chirico   +2 more
wiley   +1 more source

Approximation Bounds for Sparse Principal Component Analysis

, 2014
To appear in Mathematical Programming.We produce approximation bounds on a semidefinite programming relaxation for sparse principal component analysis.
d'Aspremont, Alexandre, Bach, Francis, Ghaoui, Laurent El   +2 more
core   +3 more sources