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Results: 56
Third-harmonic Mie scattering from semiconductor nanohelices
Lukas Ohnoutek, Ji-Young Kim, Jun Lu, Ben Olohan, Dora Rasadean, Dan Pantos, Nicholas Kotov, Ventsislav Valev
Feb 01, 2022
Chiroptical spectroscopies provide structural analyses of molecules and nanoparticles but they require sample volumes that are incompatible with generating large chemical libraries. New optical tools are needed to...
Third-harmonic Mie scattering from semiconductor nanohelices
Lukas Ohnoutek, Ji-Young Kim, Jun Lu, Ben Olohan, Dora Rasadean, Dan Pantos, Nicholas Kotov, Ventsislav Valev
Feb 01, 2022
Chiroptical spectroscopies provide structural analyses of molecules and nanoparticles but they require sample volumes that are incompatible with generating large chemical libraries. New optical tools are needed to...
Instantaneous flame front identification by Mie scattering vs. OH PLIF in low turbulence Bunsen flame
Simultaneous OH-PLIF and Mie scatter imaging were used to investigate turbulent premixed flame edge detection
under a range of turbulence characteristics on a stabilised piloted Bunsen burner. A 527 nm laser beam is used to...
Instantaneous flame front identification by Mie scattering vs. OH PLIF in low turbulence Bunsen flame
Abstract
Simultaneous OH-PLIF and Mie scatter imaging were used to investigate turbulent premixed flame edge detection under a range of turbulence...
The cell stress response
Mariavittoria Pizzinga, Robert F Harvey, Gavin D Garland, Ryan Mordue, Veronica Dezi, Manasa Ramakrishna, Aristeidis Sfakianos, Mie Monti, Thomas E Mulroney, Tuija Poyry, Anne E Willis
Nov 28, 2019
Following cell stress, a wide range of molecular pathways are initiated to orchestrate the stress response and enable adaptation to an environmental or intracellular perturbation. The post-transcriptional regulation strategies...
Comprehensive identification of RNA-protein interactions in any organism using orthogonal organic phase separation (OOPS).
Rayner ML Queiroz, Tom Smith, Eneko Villanueva, Maria Marti-Solano, Mie Monti, Mariavittoria Pizzinga, Dan-Mircea Mirea, Manasa Ramakrishna, Robert F Harvey, Veronica Dezi, Gavin H Thomas, Anne E Willis, Kathryn S Lilley
Jan 07, 2019
Existing high-throughput methods to identify RNA-binding proteins (RBPs) are based on capture of polyadenylated RNAs and cannot recover proteins that interact with nonadenylated RNAs, including long noncoding RNA, pre-mRNAs and...
Prediction of the water/oil interfacial tension from molecular simulations using the coarse-grained SAFT-γ Mie force field
This work is framed within the Ninth Industrial Fluid Properties Simulation Challenge, with the aim of assessing the capability of molecular simulation methods and force fields to accurately predict the interfacial tension of...
Prediction of the water/oil interfacial tension from molecular simulations using the coarse-grained SAFT-γ Mie force field
This work is framed within the Ninth Industrial Fluid Properties Simulation Challenge, with the aim of assessing the capability of molecular simulation methods and force fields to accurately predict the interfacial tension of...
The golgin coiled-coil proteins capture different types of transport carriers via distinct N-terminal motifs.
BACKGROUND: The internal organization of cells depends on mechanisms to ensure that transport carriers, such as vesicles, fuse only with the correct destination organelle. Several types of proteins have been proposed to confer...
Coiled-coil Endosome-to-Golgi traffic Golgi Golgin Intra-Golgi traffic Vesicle tethering Amino Acid Motifs Amino Acid Sequence Animals Carrier Proteins Conserved Sequence Golgi Apparatus HeLa Cells Humans Membrane Proteins Models Biological Protein Domains Protein Structure Secondary Protein Transport Structure-Activity Relationship Transport Vesicles
Towards standard electrolytes for sodium-ion batteries
Damien Monti, Erlendur Jonsson, Andrea Boschin, M Rosa Palacín, Alexandre Ponrouch, Patrik Johansson
Nov 05, 2020
The currently emerging sodium-ion battery technology is in need of an optimized standard organic solvent electrolyte based on solid and directly comparable data. With this aim we have made a systematic study of "simple"...
Continuous manufacturing of silver nanoparticles between 5 and 80 nm with rapid online optical size and shape evaluation
Flexible manufacturing technology of nanoparticles with sizes between 5 and 80 nm. This unique size flexibility is enabled by coupling rapid online spectroscopy and a mathematical Mie theory-based algorithm for size and shape...
Brexit threatens biosecurity - from data to strategy.
Biosecurity is likely to be seriously compromised by the United Kingdom’s exit from the European Union. Common rules and safeguards, backed by a common judicial system, have for decades protected human, animal and plant health...
Automated optimisation of solubility and conformational stability of antibodies and proteins
Angelo Rosace, Anja Bennett, Marc Oeller, Mie M Mortensen, Laila Sakhnini, Nikolai Lorenzen, Christian Poulsen, Pietro Sormanni
Apr 07, 2023
A school-based peer-led smoking prevention intervention with extracurricular activities
Sandra Bosi, Giuseppe Gorini, Marco Tamelli, Claudia Monti, Simone Storani, Giulia Carreras, Andrea Martini, Elias Allara, Paola Angelini, Fabrizio Faggiano
Jun 27, 2019
Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization.
Romy Lorenz, Ines R Violante, Ricardo Pio Monti, Giovanni Montana, Adam Hampshire, Robert Leech
Aug 19, 2019
Understanding the unique contributions of frontoparietal networks (FPN) in cognition is challenging because they overlap spatially and are co-activated by diverse tasks. Characterizing these networks therefore involves studying...
Interpretable brain age prediction using linear latent variable models of functional connectivity
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy, Matthew Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe, Aapo Hyvärinen
Jun 10, 2020
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models of brain age based on...
Interpretable brain age prediction using linear latent variable models of functional connectivity
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy, Matt Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe, Aapo Hyvarinen
Jun 10, 2020
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models of brain age based on...
Effectiveness of a school-based multi-component smoking prevention intervention
Giuseppe Gorini, Giulia Carreras, Sandra Bosi, Marco Tamelli, Claudia Monti, Simone Storani, Andrea Martini, Elias Allara, Paola Angelini, Fabrizio Faggiano
Jun 27, 2019
Cluster randomized control trial School-based prevention Smoking Prevention Tobacco Youth Chi-Square Distribution Cluster Analysis Female Follow-Up Studies Humans Italy Logistic Models Male Peer Group Primary Prevention Program Evaluation School Health Services Smoking Smoking Cessation Smoking Prevention Students Surveys and Questionnaires survival Time Factors Treatment Outcome Young Adult
Simultaneous two-phase flame velocity measurement using laser-induced incandescence particle image velocimetry (LII-PIV)
In a previous study we demonstrated a novel two-phase PIV technique based on
the laser-induced incandescence (LII) signal from black submicron tungsten carbide
particles (WC), which achieved velocity measurement for both...
Mechanisms Underlying Disorders of Consciousness
Andrea I. Luppi, Joshua Cain, Lennart R. B. Spindler, Urszula J. Górska, Daniel Toker, Andrew E. Hudson, Emery N. Brown, Michael N. Diringer, Robert D. Stevens, Marcello Massimini, Martin M. Monti, Emmanuel A. Stamatakis, Melanie Boly
Jul 28, 2021
Interpretable brain age prediction using linear latent variable models of functional connectivity
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy, Matt Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe, Aapo Hyvarinen
Jun 10, 2020
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models of brain age based on...
Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization.
Romy Lorenz, Laura E Simmons, Ricardo P Monti, Joy L Arthur, Severin Limal, Ilkka Laakso, Robert Leech, Ines R Violante
Aug 19, 2019
BACKGROUND: Selecting optimal stimulation parameters from numerous possibilities is a major obstacle for assessing the efficacy of non-invasive brain stimulation. OBJECTIVE: We demonstrate that Bayesian optimization can rapidly...
Interpretable brain age prediction using linear latent variable models of functional connectivity.
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy, Matthew Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe, Aapo Hyvärinen
Jul 13, 2020
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models of brain age based on...
Mechanisms Underlying Disorders of Consciousness
Andrea I Luppi, Joshua Cain, Lennart RB Spindler, Urszula J Górska, Daniel Toker, Andrew E Hudson, Emery N Brown, Michael N Diringer, Robert D Stevens, Marcello Massimini, Martin M Monti, Emmanuel A Stamatakis, Melanie Boly, Curing Coma Campaign and Its Contributing Collaborators
Apr 01, 2022
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