1,016 research outputs found

    Understanding Community College Student Perceptions of Academic Advising

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    The purpose of this qualitative phenomenological study was to investigate community college student perceptions of academic advising for 12 first-time first-generation (FTFG) General Studies students attending a rural southeastern community college. The phenomenological research approach was utilized to better understand participant experiences by exploring participants\u27 perceptions through their lived experiences. Applying purposeful sampling techniques, five females and seven males were identified, with 11 classified as full-time students and one classified as part-time. One-on-one interviews and focus group were conducted in-person or virtually, using Zoom and Microsoft Teams, with each participant to better understand student perceptions of their initial academic advising perceptions regarding feelings of being unprepared socially and academically, academic advisor connections and attributes, increased engagement in advising activities, and student success from the on-boarding process through graduation. The data collected revealed students took more responsibility for their education, were better equipped to communicate with an advisor, resulting in stronger connections, were better prepared to use college resources and tools, resulting in more intentional and meaningful conversations, and all of these factors led to overall student success. The findings of my research can be used to strengthen institutional policies and procedures, as well as to improve the academic advising experiences of first-generation community college students

    Hidden breakpoints in genome alignments

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    During the course of evolution, an organism's genome can undergo changes that affect the large-scale structure of the genome. These changes include gene gain, loss, duplication, chromosome fusion, fission, and rearrangement. When gene gain and loss occurs in addition to other types of rearrangement, breakpoints of rearrangement can exist that are only detectable by comparison of three or more genomes. An arbitrarily large number of these "hidden" breakpoints can exist among genomes that exhibit no rearrangements in pairwise comparisons. We present an extension of the multichromosomal breakpoint median problem to genomes that have undergone gene gain and loss. We then demonstrate that the median distance among three genomes can be used to calculate a lower bound on the number of hidden breakpoints present. We provide an implementation of this calculation including the median distance, along with some practical improvements on the time complexity of the underlying algorithm. We apply our approach to measure the abundance of hidden breakpoints in simulated data sets under a wide range of evolutionary scenarios. We demonstrate that in simulations the hidden breakpoint counts depend strongly on relative rates of inversion and gene gain/loss. Finally we apply current multiple genome aligners to the simulated genomes, and show that all aligners introduce a high degree of error in hidden breakpoint counts, and that this error grows with evolutionary distance in the simulation. Our results suggest that hidden breakpoint error may be pervasive in genome alignments.Comment: 13 pages, 4 figure

    Regulation of leucine transport and binding proteins in Escherichia coli

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    No Abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/49870/1/1040890405_ftp.pd

    Matrix of Federal Statutes and Federal and State Court Decisions Reflecting the Core Concepts of Disability Policy

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    This article sets out the 18 core concepts of policy affecting families who have children with disabilities. It defines each concept, provides a reference to the constitutional principle(s) that undergird the core concept, cites the federal statutes that reflect the core concept, and references the decisions of the United States Supreme Court and other courts interpreting or defining the core concept

    Strain- and plasmid-level deconvolution of a synthetic metagenome by sequencing proximity ligation products

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    Metagenomics is a valuable tool for the study of microbial communities but has been limited by the difficulty of “binning” the resulting sequences into groups corresponding to the individual species and strains that constitute the community. Moreover, there are presently no methods to track the flow of mobile DNA elements such as plasmids through communities or to determine which of these are co-localized within the same cell. We address these limitations by applying Hi-C, a technology originally designed for the study of three-dimensional genome structure in eukaryotes, to measure the cellular co-localization of DNA sequences. We leveraged Hi-C data generated from a simple synthetic metagenome sample to accurately cluster metagenome assembly contigs into groups that contain nearly complete genomes of each species. The Hi-C data also reliably associated plasmids with the chromosomes of their host and with each other. We further demonstrated that Hi-C data provides a long-range signal of strain-specific genotypes, indicating such data may be useful for high-resolution genotyping of microbial populations. Our work demonstrates that Hi-C sequencing data provide valuable information for metagenome analyses that are not currently obtainable by other methods. This metagenomic Hi-C method could facilitate future studies of the fine-scale population structure of microbes, as well as studies of how antibiotic resistance plasmids (or other genetic elements) mobilize in microbial communities. The method is not limited to microbiology; the genetic architecture of other heterogeneous populations of cells could also be studied with this technique
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