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At least 343 records · Page 19

Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images

Model generalization remains a key challenge in the analysis of large amounts of heterogeneous satellite image data. One major limiting factor in developing generalizable models, in the context of supervised learning, is the lack of high quality training datasets. A model's capacity to perform well on new data is often inhibited by imbalance and bias in the data that was used for training. This is especially a problem when using convolutional neural networks to classify urban land-use in satellite images. Notable dataset imbalance issues in this application include land-use type imbalance and image scene imbalance. To begin understanding these dataset imbalance problems in more detail, we develop and test a number of sampling methods for generating training image datasets from subjective training polygons for urban land-use classification. We investigate sampling at different point densities as a means to reduce content repetition and therefore content imbalance and bias in the training image dataset.

Arndt, Jacob↗

Eye patches: Protein assembly of index-gradient squid lenses

A parabolic relationship between lens radius and refractive index allows spherical lenses to avoid spherical aberration. We show that in squid, patchy colloidal physics resulted from an evolutionary radiation of globular S-crystallin proteins. Small-angle x-ray scattering experiments on lens tissue show colloidal gels of S-crystallins at all radial positions. Sparse lens materials form via low-valence linkages between disordered loops protruding from the protein surface. The loops are polydisperse and bind via a set of hydrogen bonds between disordered side chains. Peripheral lens regions with low particle valence form stable, volume-spanning gels at low density, whereas central regions with higher average valence gel at higher densities. The proteins demonstrate an evolved set of linkers for self-assembly of nanoparticles into volumetric materials.

59 BASIC BIOLOGICAL SCIENCES↗

Crystal Structure of Marburg Virus VP40 Reveals a Broad, Basic Patch for Matrix Assembly and a Requirement of the N-Terminal Domain for Immunosuppression

Marburg virus (MARV), a member of the filovirus family, causes severe hemorrhagic fever with up to 90% lethality. MARV matrix protein VP40 is essential for assembly and release of newly copied viruses and also suppresses immune signaling in the infected cell. Here we report the crystal structure of MARV VP40. We found that MARV VP40 forms a dimer in solution, mediated by N-terminal domains, and that formation of this dimer is essential for budding of virus-like particles. We also found the N-terminal domain to be necessary and sufficient for immune antagonism. The C-terminal domains of MARV VP40 are dispensable for immunosuppression but are required for virus assembly. The C-terminal domains are only 16% identical to those of Ebola virus, differ in structure from those of Ebola virus, and form a distinct broad and flat cationic surface that likely interacts with the cell membrane during virus assembly. Marburg virus, a cousin of Ebola virus, causes severe hemorrhagic fever, with up to 90% lethality seen in recent outbreaks. Molecular structures and visual images of the proteins of Marburg virus are essential for the development of antiviral drugs. One key protein in the Marburg virus life cycle is VP40, which both assembles the virus and suppresses the immune system. Furthermore, we provide the molecular structure of Marburg virus VP40, illustrate differences from VP40 of Ebola virus, and reveal surfaces by which Marburg VP40 assembles progeny and suppresses immune function.

59 BASIC BIOLOGICAL SCIENCES↗

Reed-Solomon error-correction as a software patch mechanism.

This report explores how error-correction data generated by a Reed-Solomon code may be used as a mechanism to apply changes to an existing installed codebase. Using the Reed-Solomon code to generate error-correction data for a changed or updated codebase will allow the error-correction data to be applied to an existing codebase to both validate and introduce changes or updates from some upstream source to the existing installed codebase.

97 MATHEMATICS AND COMPUTING↗

Methods for transfer a saliva based alcohol content test to a dermal patch

Detection and quantitation of ethanol which is highly sensitive, specific, and efficient has been a commercial target for sometime. Clearly analytical methods are useful such as gas and liquid chromatography, mass spectrometry, and NMR spectroscopy. However, those methods are best used in the laboratory and a less useful for detection and quantitation of ethanol in the field. Enzymes have been employed for the detection and quantitation of EtOH. Enzymes are proteins that perform a particular task in a bio-catalytic way. Most of the chemistry that these enzymes do are frequently exquisitely specific in that only one alcohol reacts and only one product is produced. One enzyme molecule can catalyze the reaction of numerous substrate molecules which in itself is an amplification of the recognition signal. Alcohol dehydrogenase (ADH) and alcohol oxidase (AO) are two possible enzymatic targets for EtOH sensor development.1 The ADH oxidizes the alcohol using a co-factor nicotinamide adenine dinucleotide. This co-factor needs to be within close proximity of the ADH. AO also oxidizes the ethanol using molecular oxygen giving rise to the production of the aldehyde and hydrogen peroxide.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗

Patching EAF-2010 into CINDER2008 Cross Section Libraries

CINDER2008 [1] comes with multi-group cross section libraries using most recent evaluated cross section data. The multi-group cross sections are weighted with three spectra: fission, fusion and flat. However, due to data format incompatibilities with the CINDER2008library maker tool, many of the reaction cross sections adapted from EAF-2010 [2] are either truncated or completely missing. Therefore it is essential to regenerate the CINDER2008 libraries with compatible EAF-2010 data. The updated cross section libraries are compared to those of the current cross section libraries in the sections below following a brief introduction of the CINDER2008 cross section libraries and a description of the method of generating cross sections for the CINDER2008 code. In the remainder of this document, we will refer to the libraries distributed with CINDER2008before October 2016 as the "current" libraries, and those described in this work as the "updated" libraries. In figures, the current library data may be shown with the library namewith or without “cur” appended, while the updated library data may be shown with "mod" appended.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION↗