Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting
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The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. The prevailing challenge in live-cell fluorescence microscopy is capturing intra-cellular dynamics while preservi ...
Geometric properties of lattice quantum gravity in two dimensions are studied numerically via Monte Carlo on Euclidean Dynamical Triangulations. A new computational method is proposed to simulate gravity coupled with fermions, which allows the study of int ...
Aim: There is a necessity for new drugs to be more efficient than today's standard due to the emergence of drug-resistant strains of Mycobacterium tuberculosis (Mtb) Results/methodology: 12 new isoniazid-based adamantane derivatives were synthesized and te ...
Herein, we report the synthesis of a series of push-pull imines by considering cyclic diamino substituent at the C-centre and fluoroaryl substituent at the N-centre. This has been achieved by a selective aromatic nucleophilic substitution of different fluo ...
Lightning strikes can seriously affect the reliability and availability of electrical infrastructures. The computation of lightning-electromagnetic fields represents one of the most crucial steps in the evaluation of the induced effects; thus, having at di ...
2022
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Being able to replicate real experiments with computational simulations is a unique opportunity to refine and validate models with experimental data and redesign the experiments based on simulations. However, since it is technically demanding to model all ...
FRONTIERS MEDIA SA2020
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The metabolic engineering community relies on computational methods for pathway design to produce important small molecules in microbial hosts. Metabolic network databases are continuously curated and updated with known and novel reactions that expand the ...
CURRENT BIOLOGY LTD2022
Computational methods are crucial for the analysis of diffusion magnetic resonance imaging (MRI) of the brain. Computational diffusion MRI can provide rich information at many size scales, including local microstructure measures such as diffusion anisotrop ...
2019
This paper deals with a main limitation of Markovian traffic assignment (MTA) models: when the network includes cyclic structures and the link costs are small enough, the fact that the MTA models assign traffic flows to all feasible paths causes computatio ...
Elsevier2019
For studying spectral properties of a nonnormal matrix A is an element of Cnxn, information about its spectrum sigma(A) alone is usually not enough. Effects of perturbations on sigma(A) can be studied by computing epsilon-pseudospectra, i.e. the level sets ...
