A centrifugation-based physicochemical characterization method for the interaction between proteins and nanoparticles

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A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

Disclosed herein are peptide-grafted compounds that irreversibly deactivate bacteriophages or influenza virus depending on the peptide and remain safe for bacteria and mammalian cells. The active compounds comprise a core (cyclodextrin or gold nanoparticle ...

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Dynamic downscaling of atmospheric forcing data to the hectometer resolution has shown increases in accuracy for landsurface models, but at great computational cost. Here we present a validation of a novel intermediate complexity atmospheric model, HICAR, ...

This paper proposes a data-driven control design method for nonlinear systems that builds upon the Koopman operator framework. In particular, the Koopman operator is used to lift the nonlinear dynamics to a higher-dimensional space where the so-called obse ...

The ongoing war in Ukraine has profoundly impacted the Ukrainian scientific community. Numerous researchers have either emigrated or transitioned to alternate professions. For those who remain in research, the destruction of civil infrastructure and psycho ...

Optical tweezers are devices that can manipulate nano- and microparticles using a laser. The principle of optical tweezers is to apply a force to an object using the momentum of light. This force is very small, but it is sufficient to move things in the mi ...

Data and code associated with the following paper: V. Vento et al, Nano Lett. 2023 A thorough explanation of the experiment performed is available there. The name of each sub-folder and file in Maps_data_code.zip indicates the correspondin ...

We study the energy-critical nonlinear Schrodinger equation with randomised initial data in dimensions d > 6. We prove that the Cauchy problem is almost surely globally well-posed with scattering for randomised supercritical initial data in H-s(Rd) wheneve ...

This upload contains the relevant scripts, notebooks, and datasets to reproduce the numerically obtained results of the Journal article "Three-dimensional buoyant hydraulic fractures: finite volume release" by Möri and Lecampion, (2023). ...

Data redundancy has been one of the most important problems in data-intensive applications such as data mining and machine learning. Removing data redundancy brings many benefits in efficient data updating, effective data storage, and error-free query proc ...

A dispersant for stabilizing nanoparticles, in particular inorganic non-metallic nanoparticles is described. Said dispersant comprises at least one anchor group A, and at least one spacing group R covalently linked to said anchor group, said anchor grou ...

A centrifugation-based physicochemical characterization method for the interaction between proteins and nanoparticles

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Spectral Estimators for High-Dimensional Matrix Inference

Virucidal compounds and use thereof

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

The effects of war on Ukrainian research

Optical manipulation of plasmonic nanoparticles: Applications in surface chemistry and nano-optics

Data and code associated with the paper 'Mode-Specific Coupling of Nanoparticle-on-Mirror Cavities with Cylindrical Vector Beams'

ALMOST SURE SCATTERING OF THE ENERGY-CRITICAL NLS IN d > 6

Data and Workflow to: Three-dimensional buoyant hydraulic fractures: finite volume release (Möri and Lecampion, (2023))

Validating functional redundancy with mixed generative adversarial networks

Dispersant Stabilization of Inorganic Non-metallic Particles