64 research outputs found
Canadian National Railway - 03
Photograph - A sketch of the CNR station, Athabasca, Alberta, which was built in 1912. The artist was named "Kayla". The sketch was rendered in postcard and notecard format and printed by Gregorach Printing Ltd., Athabasc
Canadian Imperial Bank of Commerce - 06
Photograph - A sketch of the Canadian Imperial Bank of Commerce building, Athabasca, Alberta. It was built in 1912 and was demolished in 1980. The artist was "Kayla" and the printer was Gregorach Printing Ltd., Athabasca. Both postcards and notecards of this sketch were sol
Seven Platforms You Should Know About: Share, Find, Author, or Adapt Creative Commons-Licensed Resources
Creative Commons licenses allow no-cost access, redistribution, remix, and reuse with attribution. This session is for faculty (and others) who want to know about no-cost platforms which enable sharing, finding, creating, and/or adapting of openly licensed or public domain resources. This session features live demos by expert users or creators of a selection of no-cost (some freemium) platforms and/or collaborative communities, including: VTechWorks, Merlot, Open Textbook Library, OER Commons, VT’s Odyssey learning object repository, Overleaf, Pressbooks, and Rebus Community for Open Textbook Creation. This event was offered during Open Education Week 2017.
Moderator: Anita Walz
Presenters: Anita Walz, Virginia (Ginny) Pannabacker, Kayla McNabb, Ryan Looney, Lisa Pedrides, Melinda (Mindy) Bolin, Hugh McGuire
The chart labeled "Where to find share and adapt OER - no cost platforms.pdf" presents a selection of sixteen different no-cost platforms to find, share, build or adapt open educational resources (OER) or Creative-Commons licensed works. (Some platforms require that you create a login name and password. Others require that you install software (free only for educational use). Some are "freemium" systems which allow you to do some things, but not everything free of charge. Presentation of these platforms does not imply endorsement by Virginia Tech.
Seven of these platforms were featured in Virginia Tech's March 28, 2017 #OpenEducationWk session "Seven Platforms You Should Know About: Share, Find, Author, or Adapt Creative Commons-Licensed Resources."
The document "Links for Seven Platforms You Should Know About.pdf" includes links referenced in the video presentation
A Nitinol Actuated Worm-Inspired Robot Capable of Forward Motion, Turning, and Climbing Obstacles
Towards a Foundation Model of the Mouse Visual Cortex
Understanding the brain's perception algorithm is a highly intricate problem, as the inherent complexity of sensory inputs and the brain's nonlinear processing make characterizing sensory representations difficult. Recent studies have shown that functional models capable of predicting large-scale neuronal activity in response to arbitrary sensory input can be powerful tools for characterizing neuronal representations by enabling unlimited in silico experiments. However, accurately modeling responses to dynamic and ecologically relevant inputs like videos remains challenging, particularly when generalizing to new stimulus domains outside the training distribution. Inspired by recent breakthroughs in artificial intelligence, where foundation models-trained on vast quantities of data-have demonstrated remarkable capabilities and generalization, we developed a "foundation model" of the mouse visual cortex: a deep neural network trained on large amounts of neuronal responses to ecological videos from multiple visual cortical areas and mice. The model accurately predicted neuronal responses not only to natural videos but also to various new stimulus domains, such as coherent moving dots and noise patterns, as verified in vivo , underscoring its generalization abilities. The foundation model could also be adapted to new mice with minimal natural movie training data. We applied the foundation model to the MICrONS dataset: a study of the brain that integrates structure with function at unprecedented scale, containing nanometer-scale morphology, connectivity with >500,000,000 synapses, and function of >70,000 neurons within a ∼ 1mm 3 volume spanning multiple areas of the mouse visual cortex. This accurate functional model of the MI-CrONS data opens the possibility for a systematic characterization of the relationship between circuit structure and function. By precisely capturing the response properties of the visual cortex and generalizing to new stimulus domains and mice, foundation models can pave the way for a deeper understanding of visual computation
Ginseng Rhizosphere Metagenome
The Soil Microbiomes of American Ginseng (Panax quinquefolius) Cultivated in North America Differ by Location But Not Always by Disease Status.
Isabella J. Maggard1, Kayla B. Deel1, Ying Gao2, A. Bruce Cahoon1*
1Department of Natural Sciences, University of Virginia’s College at Wise, 1 College Ave., Wise, VA 24293
2International Ginseng Institute, School of Agriculture, Middle Tennessee State University, 1301 E. Main St., Murfreesboro, TN 37132
*corresponding author: A. Bruce Cahoon; E-mail: [email protected]
Abstract
One of the greatest challenges faced by ginseng producers is control of fungal pathogens which adversely affects harvest yields and is a contributing factor to replant failure syndrome. The goal of this project was to survey the bacterial soil microbiome of healthy versus diseased American Ginseng grown in North America.
Soil associated with healthy and diseased plants were collected from commercial farms in Garett County, Maryland and Marathon County, Wisconsin. Environmental DNA metabarcoding was used to compare the bacterial and fungal microbiomes of healthy versus diseased plants from both locations. The most common bacteria occurred within the phylum Proteobacteria, Firmicutes, and Bacteroidota and the most common fungi occurred within Ascomycota, Basidiomytoca, Mortierellomycota and Glomeromycota. Alpha- and Beta- diversities were statistically significant between these two locations. Comparison of soil microbes associated with diseased versus healthy plants demonstrated inconsistencies. Diseased plants in Wisconsin had significantly lower bacterial and fungal alpha-diversity whereas no differences in diversity were detected from the Maryland samples. Community analyses (beta-diversity) of the Maryland site revealed a significant difference in the bacterial composition of soils associated with healthy versus diseased plants but not fungi. Conversely, there was a significantly different assemblage of fungi in healthy versus diseased associated soils from the Wisconsin site, but not for bacteria. Our results when compared to previous metabarcoding studies suggest there is little congruence between the soil microbiomes associated with cultivated ginseng and that we are still in the early stages of ginseng soil rhizosphere exploration
Diagnostic accuracy of memory measures in alzheimer’s dementia and mild cognitive impairment: A systematic review and meta-analysis
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How the Portrayal of Women Characters in the Zorro and Robin Hood Stories Has Changed Over Time
This thesis explores how female characters in the Zorro and Robin Hood stories have changed throughout time, from beginnings until present day. I began my analysis by first researching whether Zorro and Robin Hood existed, and found that Robin Hood was most likely a real man who lived during the 1300s, while Zorro was created by the author Johnston McCulley in 1919. Then I investigated five sources from the Robin Hood canon and five from the Zorro canon, looking for patterns and differences in the female characters. I found that both stories started out with a strong female character, both fluctuated between a strong a weak female character, and both, at some point, split the main female character into two characters, one strong and one weak. In the latest versions of the Robin Hood and Zorro stories, the female characters are blended together again to form a character stronger than ever before. I conclude that the characters were split because it was unacceptable at the time each story was set for women to display both strength and weakness. The blending of different aspects of personality, such as masculinity and femininity, beauty and strength, allow for the development of a multi-faceted person
Explaining the Collapse of the Industrial Workers of the World through Historiography
Growing out of the labor militancy and political radicalism of the late nineteenth and early twentieth century, the revolutionary union Industrial Workers of the World (IWW) grew to be one of the most radical working-class movements in American history, containing 150,000 members during its peak in 1917. However, by its Congress in 1924, the union nearly collapsed beneath the weight of state repression, vigilante killings, organizational weaknesses, and political divisions, after which it remained on the fringes of labor politics. Many authors of varying backgrounds and decades have sought to explain the decline of the IWW, emphasizing either repression, internal organization, or political and programmatic questions as the fundamental cause. Through a historiographic review of scholarly and descriptive works, the author argue for a more critical approach to the popularized focus on state repression, while highlighting the underrated value of organizational and political arguments. In doing so, they seek to strengthen not only the historical understanding of the IWW, but offer a fresh perspective on working-class politics, social movement history, and the American history in which the IWW is a part
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