Shanna
Desai
Sponsor: David Corina, Ph.D. Linguistics This study delves into the neural mechanisms underlying speech processing in children with Cochlear Implants (CI) compared to their Normal Hearing (NH) peers, emphasizing the interplay between auditory and visual cues. Utilizing EEG data from 24 CI and 24 NH children, we employ two distinct predictive models to analyze their cortical responses to speech features amidst visual distractions. Based on 38 IPA phonemes represented by indicator vectors, the Phoneme Model allows us to investigate categorical phoneme perception by identifying moments when specific phonemes are identified in the speech stream. Conversely, the Phonetic Feature Model, incorporating articulatory and acoustic features such as voiceness, place and manner of articulation through binary vectors, enables a granular analysis of time course of perception of phonemic features as well as quality of such percepts across the groups. By applying machine learning techniques, we aim to quantify cortical tracking of these speech attributes and understand the time course of phonetic discrimination in the face of auditory deprivation and imperfect auditory input. We expect to see delayed phoneme discrimination and overall lower precision of phoneme discrimination in CI group compared to hearing group. Impact of IL-13 and Caldecott PM 2.5 Exposure on Airway Epithelial Cells Grown in Air Liquid Interface Conditions
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Authors:
Shanna Desai
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Exposure to traffic pollution has been shown to exacerbate respiratory symptoms and increase lung inflammation in asthmatics. Individuals with asthma exhibit elevated levels of the type 2 inflammatory cytokine IL-13, which contributes to airway hyperreactivity and increased mucus production. Additionally, exposure to fine particulate matter (PM 2.5) can worsen asthmatic symptoms and increase expression of cytokines such as IL-4 and IL-33, due to its ability to infiltrate deep into smaller airways. Elevated levels of these inflammatory cytokines intensify airway inflammation, presenting potential targets for the identification of possible therapeutic interventions. However, whether the increased expression of IL-4 and IL-33 is due to the presence of increased IL-13 in combination with PM 2.5, remains unexplored in air liquid interface (ALI) conditions. We are proposing to measure the expression of inflammatory cytokines, IL-4 and IL-33, using an ELISA, in response to the co-exposure of IL-13 and PM 2.5 derived from the Caldecott Tunnel on human airway epithelial cells grown in ALI. We anticipate increased IL-4 and IL-33 expression after exposure to the combination of IL-13 and PM 2.5. UC Davis 35 th Annual Undergraduate Research, Scholarship and Creative Activities Conference 86 Digital Gait Markers from GAITrite for Potential Pre-Diagnosis of Fragile X-Associated Tremor/ Ataxia Syndrome Aniket Desarkar
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UC Davis / MED: Int Med Pulmonary (sac) / 2024
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Shanna Desai