Results 71 to 80 of about 94,123 (306)
A Probabilistic Model of Motor Resonance for Embodied Gesture Perception
, 2009 Sadeghipour A, Kopp S. A Probabilistic Model of Motor Resonance for Embodied Gesture Perception. In: Ruttkay Z, Kipp M, Nijholt A, Vilhjamsson H, eds. Intelligent Virtual Agents. Vol 5773.
Kopp, Stefan ; https://orcid.org/ +7 more
core +1 more source
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Field Map Reconstruction in Magnetic Resonance Imaging Using Bayesian Estimation
Sensors, 2009 Field inhomogeneities in Magnetic Resonance Imaging (MRI) can cause blur or image distortion as they produce off-resonance frequency at each voxel. These effects can be corrected if an accurate field map is available. Field maps can be estimated starting
Fabio Baselice +2 more
doaj +1 more source
Resonances for Graph Directed Markov Systems
Real Analysis Exchange, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
Frontiers in Biomedical Technologies, 2020 Purpose: Graph theory is a widely used and reliable tool to quantify brain connectivity. Brain functional connectivity is modeled as graph edges employing correlation coefficients.
Hessam Ahmadi +2 more
doaj +1 more source
NeuroImage: Reports, 2023 Survivors of pediatric brain tumors often live with long-term cognitive difficulties related to brain changes associated with the tumor itself as well as treatments such as radiation therapy.
Eric S. Semmel +4 more
doaj +1 more source
PHOTONAI-Graph - a Python toolbox for graph machine learning
, 2023 Graph data is an omnipresent way to represent information in machine learning. Especially, in neuroscience research, data from Diffusion-Tensor Imaging (DTI) and functional Magnetic Resonance Imaging (fMRI) is commonly represented as graphs.
Leenings, Ramona +9 more
core +1 more source
Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens
FEBS Open Bio, EarlyView.Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee +3 more
wiley +1 more source
Formation and interaction of resonance chains in the open three-disk system
New Journal of Physics, 2014 In ballistic open quantum systems, one often observes that the resonances in the complex-energy plane form a clear chain structure. Taking the open three-disk system as a paradigmatic model system, we investigate how this chain structure is reflected in ...
T Weich +4 more
doaj +1 more source