Global Detection of Proteins by Label-Based Antibody Array.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1064-0_4
Abstract: Because of narrow availability of antibody pairs and potential cross-reactivity between antibodies, the development of sandwich-based antibody arrays which need a pair of antibodies for each target has been restricted to higher density resulting in… read more here.
Keywords: detection; global detection; antibody array; antibody ... See more keywords
Development and comparison of two nanomaterial label-based lateral flow immunoassays for the detection of five antibacterial synergists
Sign Up to like & getrecommendations! Published in 2020 at "New Journal of Chemistry"
DOI: 10.1039/d0nj03734f
Abstract: The label is a significant factor when analyzing the performance of lateral flow immunoassays (LFIAs) in practical applications. In this study, we first produced a broad-specificity monoclonal antibody (mAb) against five antibacterial synergists (ASGs) whose… read more here.
Keywords: based lfia; antibacterial synergists; five antibacterial; label based ... See more keywords
Label-based expectations affect incentive contrast effects in bumblebees
Sign Up to like & getrecommendations! Published in 2022 at "Biology Letters"
DOI: 10.1098/rsbl.2021.0549
Abstract: While classic models of animal decision-making assume that individuals assess the absolute value of options, decades of research have shown that rewards are often evaluated relative to recent experience, creating incentive contrast effects. Contrast effects… read more here.
Keywords: based expectations; contrast; label based; contrast effects ... See more keywords
Multi-Label-Based Similarity Learning for Vehicle Re-Identification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2948965
Abstract: The massive attention to the surveillance video-based analysis makes the vehicle re-identification one of the current hot areas of interest to study. Extracting discriminative visual representations for vehicle re-identification is a challenging task due to… read more here.
Keywords: vehicle; multi label; vehicle identification; model ... See more keywords
Pseudo Label Based on Multiple Clustering for Unsupervised Cross-Domain Person Re-Identification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3016528
Abstract: Person re-identification (Re-ID) has achieved great improvement with the development of deep learning. However, domain adaptation in unsupervised Re-ID has always been a challenging task. Most existing works based on clustering only cluster once, which… read more here.
Keywords: person; pseudo label; person identification; multiple clustering ... See more keywords