Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1586/erv.11.125 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Resonance SERS probe based on the bifunctional molecule IR808 combined with SA test strips for highly sensitive detection of monkeypox virus.
Spectrochim Acta A Mol Biomol Spectrosc
January 2025
Clinical Research Institute, Department of Laboratory Medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, College of Chemistry and Chemical Engineering, College of Energy, College of Physical Science and Technology, and Discipline of Intelligent Instrument and Equipment, Xiamen University, Xiamen 361005 China; Scientific Research Foundation of State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen 361005 China. Electronic address:
As a zoonotic virus, highly sensitive detection of monkeypox virus is crucial for its prevention and control due to its rapid increase in cases worldwide and the extremely high risk of virus transmission. In this paper, based on the principle of antigen-antibody specific recognition, an ultrasensitive resonance Raman biosensing probe was prepared using a molecule with the bifunctionality of resonance Raman effect and capturing antibody; and with the strong affinity of the biotin-streptavidin (Bio-SA) system, Bio-antibody and SA test strips were prepared. To match the T-line of the test strip, a portable Raman instrument with a strip-shaped spot was designed.
View Article and Find Full Text PDFEffects of Homogeneous Doping on Electron-Phonon Coupling in SrTiO.
Nanomaterials (Basel)
January 2025
Department of Physics and Natural Science Research Institute, University of Seoul, Seoul 02504, Republic of Korea.
Bulk n-type SrTiO (STO) has long been known to possess a superconducting ground state at an exceptionally dilute carrier density. This has raised questions about the applicability of the BCS-Eliashberg paradigm with its underlying adiabatic assumption. However, recent experimental reports have set the pairing gap to the critical temperature (Tc) ratio at the BCS value for superconductivity in Nb-doped STO, even though the adiabaticity condition the BCS pairing requires is satisfied over the entire superconducting dome only by the lowest branch of optical phonons.
View Article and Find Full Text PDFMSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification.
Biomimetics (Basel)
January 2025
Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
With the advancement of the Internet, social media platforms have gradually become powerful in spreading crisis-related content. Identifying informative tweets associated with natural disasters is beneficial for the rescue operation. When faced with massive text data, choosing the pivotal features, reducing the calculation expense, and increasing the model classification performance is a significant challenge.
View Article and Find Full Text PDFEMNet: A Novel Few-Shot Image Classification Model with Enhanced Self-Correlation Attention and Multi-Branch Joint Module.
Biomimetics (Basel)
January 2025
School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 510006, China.
In this research, inspired by the principles of biological visual attention mechanisms and swarm intelligence found in nature, we present an Enhanced Self-Correlation Attention and Multi-Branch Joint Module Network (EMNet), a novel model for few-shot image classification. Few-shot image classification aims to address the problem of image classification when data are limited. Traditional models require a large amount of labeled data for training, while few-shot learning trains models using only a small number of samples (just a few samples per class) to recognize new categories.
View Article and Find Full Text PDFAdvanced Monte Carlo for Acquisition Sampling in Bayesian Optimization.
Entropy (Basel)
January 2025
Instituto Universitario de Investigacion en Ingenieria de Aragon (I3A), Universidad de Zaragoza, 50018 Zaragoza, Spain.
Optimizing complex systems usually involves costly and time-consuming experiments, where selecting the experiments to perform is fundamental. Bayesian optimization (BO) has proved to be a suitable optimization method in these situations thanks to its sample efficiency and principled way of learning from previous data, but it typically requires that experiments are sequentially performed. Fully distributed BO addresses the need for efficient parallel and asynchronous active search, especially where traditional centralized BO faces limitations concerning privacy in federated learning and resource utilization in high-performance computing settings.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!