Results 51 to 60 of about 32,702 (254)
Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data
Spatial group independent component analysis (GICA) methods decompose multiple-subject functional magnetic resonance imaging (fMRI) data into a linear mixture of spatially independent components (ICs), some of which are subsequently characterized as ...
Yuhui Du +10 more
doaj +1 more source
A viral luminogenic reporter with chemiluminescence/fluorescence dual‐response and efficient renal clearance was developed for non‐invasive imaging and urinalysis of H1N1 virus protease, allowing for remote detection of H1N1 virus infections and monitoring of antiviral therapeutic efficacy in living mice.
Bankang Ruan +9 more
wiley +1 more source
A ZIF‐90 nanocarrier delivers dinotefuran and suppresses NlABCG3 and NlABCH1 in resistant Nilaparvata lugens. This system combines pH/ATP‐triggered release with enhanced foliar retention, improving efficacy while sparing honeybees and promoting rice growth, offering a promising resistance‐breaking strategy.
Chengshuai He +9 more
wiley +1 more source
Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) can potentially enable people to non-invasively and directly communicate with others using brain activities.
Suguru Kanoga +3 more
doaj +1 more source
Scalable Crackle‐Lithography for Multifunctional Enclosed Plastic Nanofluidic Devices
Crackle‐lithography enables scalable fabrication of enclosed plastic‐substrate‐based nanofluidic devices with interconnected nanochannels that enable molecular transport, optical interrogation, confined electroless copper deposition, and ionic memristive behavior.
Tirumala Rao Dumpala +8 more
wiley +1 more source
A Modified ICA based Process Monitoring Strategy-Case Study of a Steel Billet Manufacturing Unit [PDF]
The article highlights the development of a Non-Gaussian Process Monitoring Strategy for a Steel Billet Manufacturing Unit (SBMU). The non-Gaussian monitoring strategy being proposed is based on Modified Independent Component Analysis (ICA) which is a ...
Bhagwan Kumar Mishra, Anupam Das
doaj
eCIRP released in the stroke brain binds to TLR4 expressed on microglia to induce miR‐155, which suppresses MafB, decreases MerTK and downstream signaling to impair efferocytosis of apoptotic neurons, worsening the acute stroke outcomes. Inhibition of eCIRP‐TLR4 interaction with small peptide C23 attenuates eCIRP‐induced microglial efferocytic ...
Dmitriy Lapin +3 more
wiley +1 more source
Quantum‐Like Dynamics in Whole‐Brain Models of the Human Connectome
Quantum‐like dynamics in the human brain. The level of quantum‐like behavior in a non‐quantum system of coupled oscillators is regulated by the spectral gap of the coupling graph. Whole‐brain modelling using QL fits the empirical data significantly better and has a lower model‐derived energy cost than the non‐QL model.
Gustavo Deco +5 more
wiley +1 more source
[Independent Components Analysis (ICA) in the study of electroencephalographic signals].
Independent Component Analysis (ICA) is a mathematical tool able to separate complex signals in statistically independent components. It solves the blind source separation problem (BSS). The EEG satisfies most of the assumptions of ICA, so it may be an adequate signal for ICA for its use.
E, Urrestarazu, J, Iriarte
openaire +1 more source
Human iPSC‐derived Fabry cardiomyocytes exhibited broad transcriptional dysregulation, apoptosis, mitochondrial dysfunction, impaired reactive oxygen species handling, altered contractility, and abnormal calcium transient decay, potentially mediated by phospholamban hyperphosphorylation.
Malte Juchem +24 more
wiley +1 more source

