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"GONZALES, LAURA"
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Fostering Learning, Curiosity, and Community in the Age of Generative AI
From plagiarism detection software that collects students' intellectual knowledge and then profits from it under the guise of preventing cheating to standardized testing assessment systems that rank and codify (Benjamin, 2023) students based on their racial and economic status rather than their intellectual potential, AI has long been used in our schools, classrooms, and communities to surveil, extract, and categorize our students' humanity under white supremacist logic. Black women technology researchers-such as Timmit Gebru, who was fired from Google for publishing a paper about the potential ethical implications of AI (Simonite, 2020)-have long warned about the need to diversify how AI content models are developed, tested, and shared. How do we continue shifting power dynamics in our classrooms so that students understand themselves as part of our collective community rather than as bodies in a classroom who must perform what we tell them in order to get an A?
Journal Article
Building Transdisciplinary Connections between Composition Studies and Technical Communication to Understand Multilingual Writing Processes
Scholars in Composition Studies (CS) and Technical and Professional Communication (TPC) are invested in studying language difference and fluidity for various reasons, including CS's commitment to honoring linguistically and ethnically diverse students' communication practices, as well as TPC's emphasis on globalization, localization, and intercultural communication. Across both areas, there are ongoing debates and shifting conversations about how language is or should be theorized and studied, including CS's relatively recent attention to the \"trans-\" prefix and TPC's social justice turn, which pushes the field to recognize the value of language diversity beyond capitalist-driven models of globalization. Here, Gonzales shares how the intersections of CS and TPC have allowed her to grapple with her own understandings of and orientations to studying language diversity in a wide range of contexts.
Journal Article
Hydrocephalus and arthrogryposis in an immunocompetent mouse model of ZIKA teratogeny: A developmental study
The teratogenic mechanisms triggered by ZIKV are still obscure due to the lack of a suitable animal model. Here we present a mouse model of developmental disruption induced by ZIKV hematogenic infection. The model utilizes immunocompetent animals from wild-type FVB/NJ and C57BL/6J strains, providing a better analogy to the human condition than approaches involving immunodeficient, genetically modified animals, or direct ZIKV injection into the brain. When injected via the jugular vein into the blood of pregnant females harboring conceptuses from early gastrulation to organogenesis stages, akin to the human second and fifth week of pregnancy, ZIKV infects maternal tissues, placentas and embryos/fetuses. Early exposure to ZIKV at developmental day 5 (second week in humans) produced complex manifestations of anterior and posterior dysraphia and hydrocephalus, as well as severe malformations and delayed development in 10.5 days post-coitum (dpc) embryos. Exposure to the virus at 7.5-9.5 dpc induces intra-amniotic hemorrhage, widespread edema, and vascular rarefaction, often prominent in the cephalic region. At these stages, most affected embryos/fetuses displayed gross malformations and/or intrauterine growth restriction (IUGR), rather than isolated microcephaly. Disrupted conceptuses failed to achieve normal developmental landmarks and died in utero. Importantly, this is the only model so far to display dysraphia and hydrocephalus, the harbinger of microcephaly in humans, as well as arthrogryposis, a set of abnormal joint postures observed in the human setting. Late exposure to ZIKV at 12.5 dpc failed to produce noticeable malformations. We have thus characterized a developmental window of opportunity for ZIKV-induced teratogenesis encompassing early gastrulation, neurulation and early organogenesis stages. This should not, however, be interpreted as evidence for any safe developmental windows for ZIKV exposure. Late developmental abnormalities correlated with damage to the placenta, particularly to the labyrinthine layer, suggesting that circulatory changes are integral to the altered phenotypes.
Journal Article
Viral immunogenicity determines epidemiological fitness in a cohort of DENV-1 infection in Brazil
The dynamics of dengue virus (DENV) circulation depends on serotype, genotype and lineage replacement and turnover. In São José do Rio Preto, Brazil, we observed that the L6 lineage of DENV-1 (genotype V) remained the dominant circulating lineage even after the introduction of the L1 lineage. We investigated viral fitness and immunogenicity of the L1 and L6 lineages and which factors interfered with the dynamics of DENV epidemics. The results showed a more efficient replicative fitness of L1 over L6 in mosquitoes and in human and non-human primate cell lines. Infections by the L6 lineage were associated with reduced antigenicity, weak B and T cell stimulation and weak host immune system interactions, which were associated with higher viremia. Our data, therefore, demonstrate that reduced viral immunogenicity and consequent greater viremia determined the increased epidemiological fitness of DENV-1 L6 lineage in São José do Rio Preto.
Journal Article
Community Literacies en Confianza
Review of Community Literacies en Confianza By Steven Alvarez.
Journal Article
Translation as a User-Localization Practice
Purpose: This article presents translation as a user-localized activity. Using Sun's (2012) distinction between user and practitioner localization, the researchers present a preliminary illustration of how translation is enacted by multilingual participants aiming to translate
words from their heritage languages into English. Method: As part of this pilot study, ten, ten-minute interviews were conducted, video-recorded, and coded to better understand how multilingual users adapt information from their heritage languages into English. Results:
Results suggest that users employ several strategies when translating in context: acting, comparing/contrasting, deconstructing, gesturing, intonation, negotiating, sketching, and storytelling. These strategies involve the use of both words and other semiotic resources (for example, gestures,
intonation) to convey meaning across languages. Conclusion: Technical communication researchers and practitioners could develop more effective translation and localization frameworks by learning from the user-localized translation practices of multilinguals. Analyzing the translation
practices of multilinguals who are not professional translators or interpreters could provide a framework for technical communicators to better recognize the complexities of writing in English for international audiences.
Journal Article
Development of a Computationally Efficient Tabulated Chemistry Solver for Internal Combustion Engine Optimization Using Stochastic Reactor Models
The use of chemical kinetic mechanisms in computer aided engineering tools for internal combustion engine simulations is of high importance for studying and predicting pollutant formation of conventional and alternative fuels. However, usage of complex reaction schemes is accompanied by high computational cost in 0-D, 1-D and 3-D computational fluid dynamics frameworks. The present work aims to address this challenge and allow broader deployment of detailed chemistry-based simulations, such as in multi-objective engine optimization campaigns. A fast-running tabulated chemistry solver coupled to a 0-D probability density function-based approach for the modelling of compression and spark ignition engine combustion is proposed. A stochastic reactor engine model has been extended with a progress variable-based framework, allowing the use of pre-calculated auto-ignition tables instead of solving the chemical reactions on-the-fly. As a first validation step, the tabulated chemistry-based solver is assessed against the online chemistry solver under constant pressure reactor conditions. Secondly, performance and accuracy targets of the progress variable-based solver are verified using stochastic reactor models under compression and spark ignition engine conditions. Detailed multicomponent mechanisms comprising up to 475 species are employed in both the tabulated and online chemistry simulation campaigns. The proposed progress variable-based solver proved to be in good agreement with the detailed online chemistry one in terms of combustion performance as well as engine-out emission predictions (CO, CO2, NO and unburned hydrocarbons). Concerning computational performances, the newly proposed solver delivers remarkable speed-ups (up to four orders of magnitude) when compared to the online chemistry simulations. In turn, the new solver allows the stochastic reactor model to be computationally competitive with much lower order modeling approaches (i.e., Vibe-based models). It also makes the stochastic reactor model a feasible computer aided engineering framework of choice for multi-objective engine optimization campaigns.
Journal Article