45 research outputs found

    Teaching for Social Justice: (Post-) Model Minority Moments

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    Much of the literature on model minority discourse focuses on impacts of this stereotype on students. Though the Asian American teacher population is small, it is useful to consider how this stereotype also affects the work of Asian American teachers, their identities, and their pedagogy. This article examines how two Southeast Asian American teachers envision teaching for social justice. Although it appears that these two teachers are products of the model minority stereotype because they have succeeded educationally, a closer examination of their educational pathways reveals that many obstacles, including poverty and a lack of English fluency, could have easily prevented them from being educationally successful if not for the intervention of their teachers. Analyzing these teachers’ narratives allows us to reflect on how the model minority stereotype produces moments of tension for Asian American educators. At the same time, an examination of these teachers’ dedication to teaching and mentoring low-income students of color allows us to imagine a post-model minority moment, where Asian American teachers disrupt the model minority stereotype by working to advance the education of all students of color

    L’utilisation d’Instagram pour l’exposition virtuelle des œuvres d’art des étudiants en médecine

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    Implication Statement We require our medical students to create art as part of a core course. Projects have historically been displayed at our health sciences library. During a rapid adjustment to virtual teaching at the onset of the COVID-19 pandemic, using Instagram to hold a virtual art show was a quickly implemented alternative. With student consent, course directors posted different artwork every weekday for eight weeks to a course account. By capitalizing on the visual strengths and extensive reach of the Instagram platform, we promoted our medical students’ talents both locally and nationally. We plan to use Instagram and in-person displays in the future.  Énoncé des implications de la recherche Dans un de leurs cours du tronc commun, nos étudiants en médecine sont amenés à faire de l’art. Avant la pandémie de la COVID-19, leurs projets étaient exposés à la bibliothèque des sciences de la santé. La solution de rechange trouvée dans le cadre d’une adaptation rapide à l’enseignement virtuel au début de la pandémie a été d’utiliser Instagram pour exposer virtuellement les œuvres. Avec le consentement des étudiants, les responsables de cours ont publié des œuvres différentes tous les jours pendant huit semaines sur un compte Instagram créé pour le cours. Tirant parti des atouts visuels et de la vaste portée de la plateforme, nous avons pu promouvoir les talents de nos étudiants en médecine tant au niveau local qu’au niveau national. À l’avenir, nous comptons combiner les expositions physiques et Instagram

    Global Flood Monitoring Webinar 2022: Products Outline

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    The Copernicus Emergency Management Service has been developing a new operational product providing a continuous global, systematic, and automated monitoring of all land surface areas possibly affected by flooding. This new global flood monitoring (GFM) product processes all incoming Sentinel-1 images and analyses them using an ensemble of 3 flood detection algorithms providing a high timeliness and quality of the product. The workshop, in the form of a webinar, will present the currently available data and product that have been developed as part of the GFM focusing on the high-resolution satellite-based products for flood monitoring at global scale, freely accessible in real-time through GloFAS

    A likelihood analysis of the Global Flood Monitoring ensemble product

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    Flooding is a natural disaster that can have devastating impacts on communities and individuals, causing significant damage to infrastructure, loss of life, and economic disruption. The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service (CEMS) addresses these challenges and provides global, near-real time flood extent masks for each newly acquired Sentinel-1 Interferometric Wide Swath Synthetic Aperture Radar (SAR) image, as well as archive data from 2015 on, and therefore supports decision makers and disaster relief actions. The GFM flood extent is an ensemble product based on a combination of three independently developed flood mapping algorithms that individually derive the flood information from Sentinel-1 data. Each flood algorithm also provides classification uncertainty information as flood classification likelihood that is aggregated in the same ensemble process. All three algorithms utilize different methods both for flood detection and the derivation of uncertainty information. The first algorithm applies a threshold-based flood detection approach and provides uncertainty information through fuzzy memberships. The second algorithm applies a change detection approach where the classification uncertainty is expressed through classification probabilities. The third algorithm applies the Bayes decision theorem and derives uncertainty information through the posterior probability of the less probable class. The final GFM ensemble likelihood layer is computed with the mean likelihood on pixel level. As the flood detection algorithms derive uncertainty information with different methods, the value range of the three input likelihoods must be harmonized to a range from low [0] to high [100] flood likelihood. The ensemble likelihood is evaluated on two test sites in Myanmar and Somalia showcasing the performance during an actual flood event and an area with challenging conditions for SAR-based flood detection. The findings further elaborate on the statistical robustness when aggregating multiple likelihood layers. The final GFM ensemble likelihood layer serves as a simplified appraisal of trust in the ensemble flood extent detection approach. As an ensemble likelihood, it provides more robust and reliable uncertainty information for the flood detection compared to the usage of a single algorithm only. It can therefore help interpreting the satellite data and consequently to mitigate the effects of flooding and accompanied damages on communities and individuals

    GFM Product User Manual

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    This Product User Manual (PUM) is the reference document for all end-users and stakeholders of the new Global Food Monitoring (GFM) product of the Copernicus Emergency Management Service (CEMS). The PUM provides all of the basic information to enable the proper and effective use of the GFM product and associated data output layers. This manual includes a description of the functions and capabilities of the GFM product, its applications and alternative modes of operation, and step-by-step guidance on the procedures for accessing and using the GFM product

    Cancer Stem Cell Assay-Guided Chemotherapy Improves Survival of Patients With Recurrent Glioblastoma in a Randomized Trial

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    Therapy-resistant cancer stem cells (CSCs) contribute to the poor clinical outcomes of patients with recurrent glioblastoma (rGBM) who fail standard of care (SOC) therapy. ChemoID is a clinically validated assay for identifying CSC-targeted cytotoxic therapies in solid tumors. In a randomized clinical trial (NCT03632135), the ChemoID assay, a personalized approach for selecting the most effective treatment from FDA-approved chemotherapies, improves the survival of patients with rGBM (2016 WHO classification) over physician-chosen chemotherapy. In the ChemoID assay-guided group, median survival is 12.5 months (95% confidence interval [CI], 10.2-14.7) compared with 9 months (95% CI, 4.2-13.8) in the physician-choice group (p = 0.010) as per interim efficacy analysis. The ChemoID assay-guided group has a significantly lower risk of death (hazard ratio [HR] = 0.44; 95% CI, 0.24-0.81; p = 0.008). Results of this study offer a promising way to provide more affordable treatment for patients with rGBM in lower socioeconomic groups in the US and around the world

    Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

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    Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection
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