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15 Sep 2023 • Journal Article • Nature Communications
Bacterial cell-size changes resulting from altering the relative expression of Min proteins
AbstractThe timing of cell division, and thus cell size in bacteria, is determined in part by the accumulation dynamics of the protein FtsZ, which forms the septal ring. FtsZ localization depends on membrane-associated Min proteins, which inhibit FtsZ binding to the cell pole membrane. Changes in the relative concentrations of Min proteins can disrupt FtsZ binding to the membrane
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15 Sep 2023 • Journal Article • Superconductor Science and Technology
Dendritic flux avalanches in superconducting hybrid structures
AbstractMagneto-optical imaging was employed to study dendritic flux avalanches in metal/superconductor and superconductor/superconductor hybrid structures over an extended range of magnetic field ramping rates. Our results in Cu/NbN show that the previously reported suppression of dendritic flux avalanches in metal coated superconducting films is limited to low ramping rates;
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14 Sep 2023 • Preprint • arXiv
Universality of underlying mechanism for successful deep learning
AbstractAn underlying mechanism for successful deep learning (DL) with a limited deep architecture and dataset, namely VGG-16 on CIFAR-10, was recently presented based on a quantitative method to measure the quality of a single filter in each layer. In this method, each filter identifies small clusters of possible output labels, with additional noise selected as labels out of
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9 Sep 2023 • Journal Article • Journal of Biomedical Optics
Compressive hyperspectral microscopy for cancer detection
AbstractSignificanceHyperspectral microscopy grants the ability to characterize unique properties of tissues based on their spectral fingerprint. The ability to label and measure multiple molecular probes simultaneously provides pathologists and oncologists with a powerful tool to enhance accurate diagnostic and prognostic decisions. As the pathological workload grows, having
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8 Sep 2023 • Journal Article • Journal of Physics B: Atomic, Molecular and Optical Physics
Vacuum UV studies of protonated serine clusters
AbstractIn a recent work, we have shown that photon absorption can cause a chemical bond to be created between the two monomers within a protonated serine dimer, a process known as intra-cluster bond formation (ICBF), despite this process not occurring following thermal excitation via low energy collision-induced dissociation (LE-CID). Here we show further evidence for
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5 Sep 2023 • Journal Article • Soft Matter
Shape transitions in a network model of active elastic shells
AbstractMorphogenesis involves the transformation of initially simple shapes, such as multicellular spheroids, into more complex 3D shapes. These shape changes are governed by mechanical forces including molecular motor-generated forces as well as hydrostatic fluid pressure, both of which are actively regulated in living matter through mechano-chemical feedback. Inspired by
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4 Sep 2023 • Journal Article • Parkinson’s Disease
Supplementary Motor Area Activity Differs in Parkinson's Disease with and without Freezing of Gait
AbstractThe study aimed to investigate the neural changes that differentiate Parkinson’s disease patients with freezing of gait and age-matched controls, using ambulatory electroencephalography event-related features. Compared to controls, definite freezers exhibited significantly less alpha desynchronization at the motor cortex about 300 ms before and after the start of
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1 Sep 2023 • Journal Article • Computers in Biology and Medicine
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31 Aug 2023 • Journal Article • Scientific Reports
Enhancing the accuracies by performing pooling decisions adjacent to the output layer
AbstractLearning classification tasks of \(({2}^{n}\times {2}^{n})\) inputs typically consist of \(\le n(2\times 2\)) max-pooling (MP) operators along the entire feedforward deep architecture. Here we show, using the CIFAR-10 database, that pooling decisions adjacent to the last convolutional layer significantly enhance accuracies. In particular, average accuracies of the
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28 Aug 2023 • Journal Article • Physical Chemistry Chemical Physics
Velocity map imaging with no spherical aberrations
AbstractVelocity map imaging (VMI) is a powerful technique to deduce the kinetic energy of ions or electrons that are produced from a large volume in space with good resolution. The size of the acceptance volume is determined by the spherical aberrations of the ion optical system. Here we present an analytical derivation for velocity map imaging with no spherical aberrations
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