14 research outputs found

    QCD and strongly coupled gauge theories : challenges and perspectives

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    We highlight the progress, current status, and open challenges of QCD-driven physics, in theory and in experiment. We discuss how the strong interaction is intimately connected to a broad sweep of physical problems, in settings ranging from astrophysics and cosmology to strongly coupled, complex systems in particle and condensed-matter physics, as well as to searches for physics beyond the Standard Model. We also discuss how success in describing the strong interaction impacts other fields, and, in turn, how such subjects can impact studies of the strong interaction. In the course of the work we offer a perspective on the many research streams which flow into and out of QCD, as well as a vision for future developments.Peer reviewe

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Indiana Traffic Signal Hi Resolution Data Logger Enumerations

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    Assessing the operational performance of traffic signals required detailed information regarding sensors inputs and controller actions. In 2012, a series of enumerations used to encode traffic signal events at a 100 millisecond was developed and published at https://doi.org/10.4231/K4RN35SH. Techniques for using that data are published in https://doi.org/10.5703/1288284315333 and https://doi.org/10.5703/1288284316063 As part of a multi-state Federal Highway Administration pooled fund study, TPF-5(377), a series of stakeholder engagements and panel meetings were conducted in 2018 and 2019 to update these enumerations. In 2020, updates to the enumerations included minor changes to event codes 14, 17, and 54

    Pineapple translation factor SUI1 and ribosomal protein L36 promoters drive constitutive transgene expression patterns in Arabidopsis thaliana

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    The availability of a variety of promoter sequences is necessary for the genetic engineering of plants, in basic research studies and for the development of transgenic crops. In this study, the promoter and 5' untranslated regions of the evolutionally conserved protein translation factor SUI1 gene and ribosomal protein L36 gene were isolated from pineapple and sequenced. Each promoter was translationally fused to the GUS reporter gene and transformed into the heterologous plant system Arabidopsis thaliana. Both the pineapple SUI1 and L36 promoters drove GUS expression in all tissues of Arabidopsis at levels comparable to the CaMV35S promoter. Transient assays determined that the pineapple SUI1 promoter also drove GUS expression in a variety of climacteric and non-climacteric fruit species. Thus the pineapple SUI1 and L36 promoters demonstrate the potential for using translation factor and ribosomal protein genes as a source of promoter sequences that can drive constitutive transgene expression patterns

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    Remote Sensing for Crop Management

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    Traumatic brain injuries

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    Traumatic brain injuries (TBIs) are clinically grouped by severity: mild, moderate and severe. Mild TBI (the least severe form) is synonymous with concussion and is typically caused by blunt non-penetrating head trauma. The trauma causes stretching and tearing of axons, which leads to diffuse axonal injury — the best-studied pathogenetic mechanism of this disorder. However, mild TBI is defined on clinical grounds and no well-validated imaging or fluid biomarkers to determine the presence of neuronal damage in patients with mild TBI is available. Most patients with mild TBI will recover quickly, but others report persistent symptoms, called post-concussive syndrome, the underlying pathophysiology of which is largely unknown. Repeated concussive and subconcussive head injuries have been linked to the neurodegenerative condition chronic traumatic encephalopathy (CTE), which has been reported post-mortem in contact sports athletes and soldiers exposed to blasts. Insights from severe injuries and CTE plausibly shed light on the underlying cellular and molecular processes involved in mild TBI. MRI techniques and blood tests for axonal proteins to identify and grade axonal injury, in addition to PET for tau pathology, show promise as tools to explore CTE pathophysiology in longitudinal clinical studies, and might be developed into diagnostic tools for CTE. Given that CTE is attributed to repeated head trauma, prevention might be possible through rule changes by sports organizations and legislators
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