Results 131 to 140 of about 74,563 (305)

Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering

, 2023
Spectral clustering is a popular method for effectively clustering nonlinearly separable data. However, computational limitations, memory requirements, and the inability to perform incremental learning challenge its widespread application.
Chen, Hung-Hsuan, Chen, Jo-Chun
core  

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Fast Spectral Clustering with efficient large graph construction

, 2017
Spectral clustering has been regarded as a powerful tool for unsupervised tasks despite its excellent performance, the high computational cost has become a bottleneck which limits its application for large scale problems. Recent studies on anchor-based
Feiping Nie, Zhu, Wei, Nie, Feiping, Li, Xuelong, Wei Zhu, Xuelong Li   +5 more
core   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

FEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard, Emma‐Jayne Proctor, Jiawa Wang, Nikolas P. Johnston, Andrew Hayes, Georgia McCorkell, Haibo Yu, Jai Tree, Mark R. Davies, Mark J. Walker, Ronald Sluyter, Stephan Brouwer, Martina L. Sanderson‐Smith   +12 more
wiley   +1 more source

Clustering graph data: the roadmap to spectral techniques

Discover Artificial Intelligence
Graph data models enable efficient storage, visualization, and analysis of highly interlinked data, by providing the benefits of horizontal scalability and high query performance.
Rahul Mondal, Evelina Ignatova, Daniel Walke, David Broneske, Gunter Saake, Robert Heyer   +5 more
doaj   +1 more source

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Effect of terahertz irradiation on DNA damage repair in living cells

FEBS Open Bio, EarlyView.
We investigated the effect of terahertz (THz) wave irradiation on DNA double‐strand break (DSB) repair in living cells. We found that THz irradiation enhanced DSB repair at specific frequencies, whereas heat treatment inhibited it, indicating that this effect is nonthermal and frequency‐specific.
Yuya Ueno, Shota Yamazaki, Hiromichi Hoshina, Masahiko Harata   +3 more
wiley   +1 more source

Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance

Aging and Cancer, EarlyView.
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang, Zhong Fan, Runmeng Liu, Xiaotian Zhang   +3 more
wiley   +1 more source

Digraph Spectral Clustering with Applications in Distributed Sensor Validation

International Journal of Distributed Sensor Networks, 2014
In various sensor networks, the performances of sensors vary significantly over time, due to the changes of surrounding environment, device hardware, and so forth. Hence, monitoring the status is essential in sensor network maintenance.
Yue-Jin Du, Hui Lu, Li-Dong Zhai
doaj   +1 more source

Spectral Matching through Data Compression

, 2011
This paper proposes to use compression-based similarity measures to cluster spectral signatures on the basis of their similarities. Such universal distances estimate the shared information between two objects by comparing their compression factors ...
Avbelj, Janja, Reinartz, Peter, Müller, Rupert, Cerra, Daniele, Bieniarz, Jakub   +4 more
core