Results 131 to 140 of about 94,123 (306)
Resonance graphs of catacondensed even ring systems are median
The authors consider cers, which are planar graphs consisting of even ring systems whose inner dual is a tree. This class of graphs is of interest to chemical graph theory. Motivated by the resonance graph of Kekulé structures the authors introduce a resonance graph \(R(G)\) for a cers \(G\). The vertices of \(R(G)\) correspond to the 1-factors of \(G\)
Sandi Klavzar +2 more
openaire +2 more sources
Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park +15 more
wiley +1 more source
Resonances on geometrically finite graphs
In analogy with the spectral theory of geometrically finite hyperbolic manifolds, we initiate the study of resonances on geometrically finite (q+1)-regular graphs of groups. We prove the meromorphic continuation of the resolvent of the adjacency operator on such spaces and give a geometric characterization of the resonant states.
Arends, Christian +2 more
openaire +2 more sources
A characterization of 1-cycle resonant graphs among bipartite 2-connected plane graphs
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Sandi Klavzar, Khaled Salem
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Contrary to popular belief, we report that background interference in conductimetric biochips can be exploited using a novel "co-detection" principle to significantly improve the reliability of detecting trace quantities of biomolecules.
Shantanu Chakrabartty +2 more
core
Solvent‐mediated reactivity control of Lewis‐paired dopants enables highly efficient, finely tunable, and stable doping of organic semiconductors. The optimally doped semiconductor films exhibit superior thermoelectric performance and doping stability, feature delocalized polarons along structurally ordered polymer backbones, and outperform ...
Sang Beom Kim +5 more
wiley +1 more source
Brain tumors are regarded as one of the most lethal forms of cancer, primarily due to their heterogeneity and low survival rates. To tackle the challenge posed by brain tumor diagnostic models, which typically require extensive data for training and are ...
Bin Liao, Hangxu Zuo, Yang Yu, Yong Li
doaj +1 more source
A thermally adaptive plasmonic metasurface, functionalized with poly(N‐isopropylacrylamide) (PNIPAM) and anti‐CD63 antibodies, enables precise, on‐demand capture and release of extracellular vesicles (EVs). Delivering high recovery, improved purity, and intact vesicle structure, the platform offers a versatile, label‐free solution for real‐time EV ...
Beyza Nur Kucuk +7 more
wiley +1 more source
Learning from Diffusion-Weighted Magnetic Resonance Images using graph kernels
International audienceDiffusion-weighted magnetic resonance imaging (DWI) is a scanning procedure that allows infering the anatomical connectivity of the brain non invasively.
Takerkart, Sylvain +3 more
core
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source

