4,204 research outputs found

    PiLa-CS Professional Learning Community - Workshop 2 Resources

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    During the Summer of 2021 and 2022, the Participating in Literacies and Computer Science (PiLa-CS) Research Practice Partnership convened and supported a community of practice to learn more about how to enable better CS teaching for emergent bilinguals. These are materials from Workshop 2 of the PLC.Sponsored by the National Science Foundation under NSF grant CNS-1738645 and DRL-1837446. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation

    Translanguaging Pedagogy in CS Ed

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    Episode 3: Translanguaging pedagogy in CS Education This video looks at how multilingual students already use translanguaging in their computer science classes and discusses how CS educators can further support them with translanguaging pedagogy, a framework that prompts teachers to consider their stance, design, and shifts. Featuring team members from Participating in Literacies and Computer Science (PiLa-CS), https://www.pila-cs.orgEpisode 3: Translanguaging pedagogy in CS Education This video looks at how multilingual students already use translanguaging in their computer science classes and discusses how CS educators can further support them with translanguaging pedagogy, a framework that prompts teachers to consider their stance, design, and shifts. Featuring team members from Participating in Literacies and Computer Science (PiLa-CS), https://www.pila-cs.orgSponsored by the National Science Foundation under NSF grant CNS-1738645 and DRL-1837446. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation

    Changes in dominant groups of the gut microbiota do not explain cereal-fiber induced improvement of whole-body insulin sensitivity

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    Background Diets high in cereal-fiber (HCF) have been shown to improve whole-body insulin sensitivity. In search for potential mechanisms we hypothesized that a supplemented HCF-diet influences the composition of the human gut microbiota and/or biomarkers of colonic carbohydrate fermentation. Methods We performed a randomized controlled 18-week intervention in group-matched overweight participants. Fecal samples of 69 participants receiving isoenergetic HCF (cereal-fiber 43 g/day), or control (cereal-fiber 14 g/day), or high-protein (HP, 28% of energy-intake, cereal-fiber 14 g/day), or moderately high cereal fiber/protein diets (MIX; protein 23% of energy-intake, cereal-fiber 26 g/day) with comparable fat contents were investigated for diet-induced changes of dominant groups of the gut microbiota, and of fecal short-chain fatty-acids (SCFA) including several of their proposed targets, after 0, 6, and 18-weeks of dietary intervention. In vitro fermentation of the cereal fiber extracts as used in the HCF and MIX diets was analyzed using gas chromatography. Diet-induced effects on whole-body insulin-sensitivity were measured using euglycaemic-hyperinsulinemic clamps and re-calculated in the here investigated subset of n = 69 participants that provided sufficient fecal samples on all study days. Results Gut microbiota groups and biomarkers of colonic fermentation were comparable between groups at baseline (week 0). No diet-induced differences were detected between groups during this isoenergetic intervention, neither in the full model nor in uncorrected subgroup-analyses. The cereal-fiber extract as used for preparation of the supplements in the HCF and MIX groups did not support in vitro fermentation. Fecal acetate, propionate, and butyrate concentrations remained unchanged, as well as potential targets of increased SCFA, whereas valerate increased after 6-weeks in the HP-group only (p = 0.037). Insulin-sensitivity significantly increased in the HCF-group from week-6 (baseline M-value 3.8 ± 0.4 vs 4.3 ± 0.4 mg·kg-1·min-1, p = 0.015; full model 0-18-weeks, treatment-x-time interaction, p = 0.046). Conclusions Changes in the composition of the gut microbiota and/or markers of colonic carbohydrate fermentation did not contribute explaining the observed early onset and significant improvement of whole-body insulin sensitivity with the here investigated HCF-diet

    Biomarkers in schizophrenia: A brief conceptual consideration

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    Biomarkers have been sought after in the field for schizophrenia research for decades. In this paper, we discuss some for the concepts around developing biomarkers in an effort to understand why the use for biomarkers for schizophrenia has not been realized. In particular, we address the following 4 questions. Why would we need a diagnostic biomarker for schizophrenia? How is a biomarker typically defined and how does that influence the discovery for biomarkers in schizophrenia? What is the best use for biomarkers in schizophrenia? Do any biomarkers for schizophrenia currently exist? Thus, while we suggest that no biomarker currently exists for schizophrenia, the heterogeneity associated with schizophrenia will most likely need to be taken into account which will result in multiple biomarkers that identify the multiple underlying pathophysiological processes involved in schizophrenia. Therefore, much additional work will be required prior to obtaining any well-established biomarkers for schizophrenia. Copyright © 2013 Cynthia S. Weickert et al

    PiLa-CS Professional Learning Community - Design Journal Template

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    During the Summer of 2021 and 2022, the Participating in Literacies and Computer Science (PiLa-CS) Research Practice Partnership convened and supported a community of practice to learn more about how to enable better CS teaching for emergent bilinguals. These are materials from from the PLC for a Design Journal to act as a planing template for teachers.Sponsored by the National Science Foundation under NSF grant CNS-1738645 and DRL-1837446. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation

    Arizona Then and Now: Exploring Arizona's Five Cs Through Photography

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    abstract: Arizona Then and Now: Exploring Arizona's Five Cs Through Photography is a photographic exploration of the evolution of Arizona's five Cs: cotton, copper, citrus, cattle, and climate. This project first looks to the past to see how these five elements shaped the state of Arizona. Photographs were taken across the valley of these elements, or lack thereof, discovering what Arizona has transformed into in the process. Each chapter of the book begins with a brief history of the element focused on in that chapter, followed by an analytical thought about the photographs taken and how the element has evolved. Each chapter shows two historical photographs followed by a series of photographs taken during the project that the author thought depicted what is seen today. The book ends on a final positive note about how the five Cs are not dead, but soon could be completely taken over. This project was a way for a non-art major to explore the state that she grew up while also challenging herself by more than just taking pictures. The photographs displayed in the book depict a sampling of what the author saw that is left of the five Cs

    IR-improved DGLAP-CS QCD parton showers in Pythia8

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    AbstractWe introduce the recently developed IR-improved DGLAP-CS theory into the showers in Pythia8, as this Monte Carlo event generator is in wide use at LHC. We show that, just as it was true in the IR-improved shower Monte Carlo Herwiri, which realizes the IR-improved DGLAP-CS theory in the Herwig6.5 environment, the soft limit in processes such as single heavy gauge boson production is now more physical in the IR-improved DGLAP-CS theory version of Pythia8. This opens the way to one’s getting a comparison between the actual detector simulations for some of the LHC experiments between IR-improved and unimproved showers as Pythia8 is used in detector simulations at LHC whereas Herwig6.5, the environment of the only other IR-improved DGLAP-CS QCD MC in the literature, Herwiri1.031, is not any longer so used. Our achieving the availability of the IR-improved DGLAP-CS Pythia8 then is an important step in the further development of the LHC precision theory program under development by the author and his collaborators

    What CS Ed Can Offer Bi/Multilinguals

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    Episode 4: What can CS offer multilingual learners? This video discusses how computer science education can benefit multilingual learners. You will meet a middle school ENL (English as a New Language) teacher who successfully incorporated both translanguaging pedagogy and CS education into her classroom, leading to a memorable experience for one of her students. Featuring team members from Participating in Literacies and Computer Science (PiLa-CS), https://www.pila-cs.orgEpisode 4: What can CS offer multilingual learners? This video discusses how computer science education can benefit multilingual learners. You will meet a middle school ENL (English as a New Language) teacher who successfully incorporated both translanguaging pedagogy and CS education into her classroom, leading to a memorable experience for one of her students. Featuring team members from Participating in Literacies and Computer Science (PiLa-CS), https://www.pila-cs.orgSponsored by the National Science Foundation under NSF grant CNS-1738645 and DRL-1837446. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation

    Filtro de difusão anisotrópico orientado por evidência de borda

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    Dissertação (mestrado) - Uiversidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da ComputaçãoFiltro de Difusão Anisotrópico é uma técnica bem estabelecida para melhoria de imagens que pode ser empregada para suavização de imagens ainda preservando alguma informação de borda. Entretanto, quando é necessário aplicar muitas iterações do filtro, gradualmente as bordas desaparecerão e serão esmaecidas pelo processo. Este trabalho propôs a adoção de mapa de gradientes coloridos para guiar o processo de suavização que claramente define quais bordas serão preservadas depois de muitas iterações. Como característica adicional, o método proposto emprega informações estatísticas para variar o parâmetro de lambda dinamicamente durante a filtragem, permitindo uma suavização adaptativa mais sensível. Os resultados alcançados demonstram-se superiores quando comparados com o filtro tradicional. Anisotropic diffusion filter is a well-established technique for image enhancement that can be employed to smooth images while preserving some degree of edge information. However, when it becomes necessary to apply a large number of filtering iterations, edges gradually fade away and are ultimately smoothed by the process. We propose the adoption of a color gradient map to guide the smoothing so that clearly-defined edges are preserved even after many iterations. As an additional feature, our method employs the statistical information to vary the lambda parameter dynamically during filtering, allowing for a more sensitive adaptive smoothing. The results achievied show good results when compared with traditional filter
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