18,228 research outputs found

    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

    MA-Thomas/DESSA-CS_repo: DESSA-CS

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    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

    Cordyceps sinensis mycelium activates PKA and PKC signal pathways to stimulate steroidogenesis in MA-10 mouse Leydig tumor cells

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    [[abstract]]Cordyceps sinensis (CS) mycelium stimulates steroidogenesis in MA-10 mouse Leydig tumor cells, but the mechanisms remain unclear. In this study, MA-10 cells were treated with different reagents in the presence or absence of CS (10 mg/ml) for 3 h to determine the mechanisms. Results illustrated that CS activated the Gsα protein subunit, but not Giα, to induce cell steroidogenesis. Moreover, PKA inhibitors inhibited 37% of CS-stimulated steroidogenesis, which demonstrated that CS might enhance the cAMP-PKA pathway to affect MA-10 cell steroidogenesis. Because of incomplete inhibition by PKA inhibitors, we also examined the PKC pathway. PKC inhibitor, phospholipase C inhibitor, and calmodulin antagonist blocked 35–52% of CS-stimulated steroidogenesis in MA-10 cells, strongly suggesting that CS had activated the PKC pathway. Co-treatment with PKA and PKC inhibitors abolished 61% of CS-stimulated steroid production, indicating that CS simultaneously activated PKA and PKC pathways. Moreover, CS induced the expression of steroidogenic acute regulatory (StAR) protein in dose- and time-dependent relationships, and PKA inhibitor, PKC inhibitor, or co-treatment with both inhibitors suppressed it. These data support that CS activates both PKA and PKC signal transduction pathways to stimulate MA-10 cell steroidogenesis

    MA Cation-Induced Diffusional Growth of Low-Bandgap FA-Cs Perovskites Driven by Natural Gradient Annealing

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    Low-bandgap formamidinium-cesium (FA-Cs) perovskites of FA1-xCsxPbI3 (x<0.1) are promising candidates for efficient and robust perovskite solar cells, but their black-phase crystallization is very sensitive to annealing temperature. Unfortunately, the low heat conductivity of the glass substrate builds up a temperature gradient within from bottom to top and makes the initial annealing temperature of the perovskite film lower than the black-phase crystallization point (~150°C). Herein, we take advantage of such temperature gradient for the diffusional growth of high-quality FA-Cs perovskites by introducing a thermally unstable MA+ cation, which would firstly form α-phase FA-MA-Cs mixed perovskites with low formation energy at the hot bottom of the perovskite films in the early annealing stage. The natural gradient annealing temperature and the thermally unstable MA+ cation then lead to the bottom-to-top diffusional growth of highly orientated α-phase FA-Cs perovskite, which exhibits 10-fold of enhanced crystallinity and reduced trap density (~3.85×1015 cm−3). Eventually, such FA-Cs perovskite films were fabricated into stable solar cell devices with champion efficiency up to 23.11%, among the highest efficiency of MA-free perovskite solar cells

    Grafted Chitosan-Hyaluronic Acid (CS-g-poly (MA-co-AN) HA) Complex Inhibits Fluconazole-Resistant Candida albicans Biofilm Formation

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    Fungal resistance that leads to the failure of drug therapy due to biofilm development is a major clinical challenge. Various polysaccharides have been used to control biofilm formation by drug-resistant fungi, and this study was undertaken to develop chitosan (CS)-modified materials and evaluate their abilities to inhibit Candida biofilm growth. CS was grafted with methacrylamide (MA) and acrylonitrile (AN) and, to improve its application characteristics further, was grafted with hyaluronic acid to produce CS-g-poly (MA-co-AN) HA complex. Grafting and complex formation were confirmed using spectroscopic techniques. CS-g-poly (MA-co-AN) HA was tested to investigate its ability to inhibit Candida albicans biofilm formation and showed significant antibiofilm activity at 200 µg/mL. Additionally, CS-g-poly (MA-co-AN) HA did not have any toxic effect on Caenorhabditis elegans. Thus, this study provides an innovative means of preventing microorganism-associated biofilm formation

    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

    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

    How combinations of dietary fibres can affect physicochemical characteristics of pasta

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    The production of high quality functional pasta from non-conventional raw materials represents a challenge. A partial substitution (15 g/100 g) of durum wheat semolina with long-chain inulin (HPX) and short-chain inulin (GR), Glucagel, psyllium and oat material (added individually and in combinations) was performed in order to increase the level of dietary fibre intake. The cooking, textural and colour characteristics of the pastas were evaluated and compared to control sample containing exclusively durum wheat semolina. Generally, material addition to the durum wheat pasta increased cooking losses, swelling index and water absorption, whilst reduced firmness and resistance to uniaxial extension of pastas. Raw spaghetti samples resulted significantly darker (L*) and more redness (a*) than control pasta. In the cooked pasta, all inulin enriched samples were brighter than semolina pasta. Pasta prepared with 15 g/100 g semolina of oat flour showed the best performance (except for the colour) compared to the other experimental pasta samples, but was significantly different to control durum wheat sample. Combinations of fibre rich additions were studied with the inclusion of inulin GR having a less deteriorating effect when added in combination with oat flour. This illustrates that some fibre rich sources may act better in combinations than separately

    Mastication or masceration: does the preparation of sample affect the predictive in vitro glycaemic response of pasta?

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    A series of experiments were conducted to evaluate the effect of different sample preparation steps, prior to the in vitro starch digestion process, on the predictive in vitro glycemic response of durum wheat pasta (control), and pasta made with durum wheat semolina and pea flour combinations. The physico-chemical, textural, and cooking quality of the pastas were also assessed. The evaluation of the different preparations processes illustrated that the maceration of the samples prior to starch digestion significantly increased the extent of starch degradation and hence the area under the curve (AUC) of reducing sugar released during the digestion process. Mastication of the samples prior to in vitro assessment increased the initial reducing sugar content of samples but yielded the lowest recorded AUC for all samples. The replacement of durum wheat semolina with pea flour significantly reduced the samples AUC compared to the control samples when prepared by mastication. This difference was not apparent for the samples prepared by maceration. The results indicate that the choice of the preparation step used prior to in vitro starch digestion procedures can significantly affect the predictive glycemic response – AUC values of samples, and hence manipulate differences attributed to product composition or structure. This may have an impact in terms of choosing the most appropriate method of glycemic analysis for the food industry
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