1. |
- Niemi, MEK, et al.
(author)
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- 2021
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swepub:Mat__t
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2. |
- Christmas, Matthew, et al.
(author)
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Evolutionary constraint and innovation across hundreds of placental mammals
- 2023
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In: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 380:6643
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Journal article (peer-reviewed)abstract
- Zoonomia is the largest comparative genomics resource for mammals produced to date. By aligning genomes for 240 species, we identify bases that, when mutated, are likely to affect fitness and alter disease risk. At least 332 million bases (similar to 10.7%) in the human genome are unusually conserved across species (evolutionarily constrained) relative to neutrally evolving repeats, and 4552 ultraconserved elements are nearly perfectly conserved. Of 101 million significantly constrained single bases, 80% are outside protein-coding exons and half have no functional annotations in the Encyclopedia of DNA Elements (ENCODE) resource. Changes in genes and regulatory elements are associated with exceptional mammalian traits, such as hibernation, that could inform therapeutic development. Earth's vast and imperiled biodiversity offers distinctive power for identifying genetic variants that affect genome function and organismal phenotypes.
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3. |
- Beal, Jacob, et al.
(author)
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Robust estimation of bacterial cell count from optical density
- 2020
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In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
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Journal article (peer-reviewed)abstract
- Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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4. |
- de Oliveira, Raphaela, et al.
(author)
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Water Nanochannels in Ultrathin Clinochlore Phyllosilicate Mineral with Ice-like Behavior
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In: Journal of Physical Chemistry C. - 1932-7447.
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Journal article (peer-reviewed)abstract
- Water is the matrix of life, and its confinement in nanocavities is a central topic from geophysics to nanotribology. Phyllosilicate layered minerals provide natural nanocavities for water due to their capacity to hydrate by confining water molecules in the interlamellar space. However, the hydration of phyllosilicates at the nanoscale is not a fully understood process and depends on the geological specimens. In this work, we report the formation of aqueous nanochannels in the interlamellar space of ultrathin clinochlore phyllosilicate mineral using infrared scattering-type scanning near-field optical microscopy and Kelvin probe force microscopy. We demonstrate that nanoconfinement of water in clinochlore changes the overall mechanical, optical, and dielectric properties of the system. We propose a capacitive model that describes the dielectric response of the aqueous nanochannels. Our model is endorsed by a robust crystal truncation rod analysis of synchrotron X-ray diffraction data. We found that clinochlore termination combines hydrated structures ordered along the c-axis. We also find evidence of ice-like behavior of the water nanoconfined in clinochlore by Fourier-transform infrared spectroscopy. Notably, our work introduces clinochlore as a natural platform for water confinement in two-dimensional systems that can be engineered for several applications in the frontiers of nanotechnology.
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5. |
- Moreira, André R., et al.
(author)
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Classification of Oil Rigs in SAR Images Using RPCA-Based Preprocessing
- 2024
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In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR. - : Institute of Electrical and Electronics Engineers (IEEE). - 9783800762873 ; , s. 432-437
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Conference paper (peer-reviewed)abstract
- This paper uses a signal separation method called Robust Principal Component Analysis (RPCA) as a pre-processing technique to improve the classification of oil rigs in Synthetic Aperture Radar (SAR) images. After the pre-processing method, features are extracted from the images using the VGG-16 convolutional neural network. These features guide classification through Support Vector Machine (SVM), Neural Networks, and Logistic Regression algorithms. The experiments used SAR images from the Sentinel-1 system, C-band, and VH polarization. Early results highlight that preprocessing improves classification accuracy compared to conventional methods. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.
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