Texas A&M University – Corpus Christi
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C.C.H.S table tennis players
C.C.H.S group photograph of the table tennis players holding their racket
Bobby and Eddie Galvan with band at Jazz Festival
Bobby and Eddie Galvan wtith band playing in the background at Jazz Festiva
A 10-year Metocean dataset for Laguna Madre, Texas, including for the study of extreme cold events
Coastal observations along the Texas coast are valuable for many stakeholders in diverse domains. However, the management of the collected data has been limited, creating gaps in hydrological and atmospheric datasets. Among these, water and air temperature measurements are particularly crucial for water temperature predictions, especially during freeze events. These events can pose a serious threat to endangered sea turtles and economically valuable fish, which can succumb to hypothermic stunning, making them vulnerable to cold-related illness or death. Reliable and complete water and air temperature measurements are needed to provide accurate predictions of when cold-stunning events occur. To address these concerns, the focus of this paper is to describe the method used to create a complete 10-year dataset that is representative of the upper Laguna Madre, TX using multiple stations and various gap-filling methods. The raw datasets consist of a decade’s worth of air and water temperature measurements within the Upper Laguna Madre from 2012 to 2022 extracted from the archives of the Texas Coastal Ocean Observation Network and the National Park Service. Large portions of data from the multiple stations were missing from the raw datasets, therefore a systematic gap-filling approach was designed and applied to create a near-continuous dataset. The proposed imputation method consists of three steps, starting with a short gap interpolation method, followed by a long gap-filling process using nearby stations, and finalized by a second short gap interpolation method. This systematic data imputation approach was evaluated by creating random artificial gaps within the original datasets, filling them using the proposed data imputation method, and assessing the viability of the proposed methods using various performance metrics. The evaluation results help to ensure the reliability of the newly imputed dataset and the effectiveness of the data imputation method. The newly created dataset is a valuable resource that transcends the local cold-stunning issue, offering viable utility for analyzing temporal variability of air and water temperatures, exploring temperature interdependencies, reducing forecasting uncertainties, and refining natural resource and weather advisory decision-making processes. The cleaned dataset with minimal gaps (<2%) is ready and convenient for artificial intelligence and machine learning applications.This material is based in part upon work supported by the National Science Foundation under award 2019758 and DGE-2152131. 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. We would also like to acknowledge the researchers on the Cold-Stunning team who first used the dataset for machine learning environmental applications: Christian Duff, Hector Marrero-Colominas, and Jarett Woodall
The role of MIR-199A in BAO-induced transgenerational bone deformities in Japanese Medaka
A Thesis Submitted In Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE in Marine Biology from Texas A&M University-Corpus Christi.Benzo[a]pyrene (BaP), a ubiquitous environmental pollutant and known carcinogen, has been evidenced to cause bone disorders in a transgenerational manner by altering epigenetic mechanisms like microRNAs (miRNA). Transcriptome analysis of bone tissue in the ancestrally BaP-exposed F3 generation indicated a prominent role of miR-199a in the regulation of significantly enriched molecular pathways for bone formation and oxidative stress. To elucidate the function of miR-199a during bone development wildtype (Orange Red) and transgenic (twist:dsred/col10a1:gfp and col10a1:gfp/osx:mCherry) freshwater medaka (Oryzias latipes) were assessed for calcification and cell-subpopulation level changes in response to miR-199a agonist and antagonist microinjections at the onset of vertebra development. To further characterize the role of miR-199a on bone development, mineralization and osteoblast differentiation, the effects of miR199a-3p agonist and antagonist injections (700 pg) at the beginning of bone formation in medaka embryos 3 days post fertilization (dpf) were studied. The area and intensity of calcification were assessed in wild-type medaka. Medaka transgenic lines - twist:dsred/col10a1:gfp and col10a1:gfp/osx:mCherry were used to assess changes during osteoblast differentiation. No impact on the calcified area and bone thickness upon miR-199a-3p agonist or antagonist injection was identified. The spatial distribution and the cellular density of twist+ mesenchymal stem cells (MSCs) were not affected. A significant reduction upon agonist injection was noted in the cellular density of col10+ osteochondro progenitors (OPCs). No change in spatial distribution and density of osx+ premature osteoblast cells (POCs) was seen upon miR-199a-3p treatment. Assessment of bone gene expression levels in 25 dpf old medaka larvae revealed a potential inhibitory effect of miR-199a-3p on bone development. The tissue, cellular and molecular level experiments confirmed the role of miR-199a-3p in bone maturation and osteoblast differentiation. This study provides a novel understanding of miRNA regulation during two critical windows of bone development. The provided data can be used to delineate the effect of BaP exposure on regulating specific miRNAs. Moreover, developmental levels of miR-199a may be useful as a potential biomarker for later life-stage bone impairment, such as osteoporosis development.Marine BiologyCollege of Scienc
Sammie Galvan with Air Corps. Band
Sammie Galvan playing the trumpet with the Air Corps. Band on a stag
Don't blame the siblings! Social experiences of gender nonconformity: Does a higher proportion of brothers and negative feedback affect masculinity among sexual minority men?
A Thesis Submitted In Partial Fulfillment of the Requirements for the Degree of MASTER OF ARTS in CLINICAL PSYCHOLOGY Department of Psychology from Texas A&M University-Corpus Christi.Social role theory (Eagly et al. 2004; Eagly, 1987) suggests that individuals who strongly conform to traditional gender roles uphold the hierarchy of the hegemonic male--a model of power, status, and strength—to reap the social benefits of inclusion. Inversely, violations of these roles can cause multiple negative effects of being socially outcasted, being a victim of physical violence, and suicidal ideations (Fiske et al. 2002; Vaughn et al. 2017). Therefore, such experiences lead to a heightened salience of masculine consciousness—consistent presentation of masculinity—for greater social approval (Taywaditep, 2002; 2001). This study aims to explore the relationship between a gay man’s experiences with their sibling’s social feedback about their gender nonconforming behavior and a gay man’s subsequent levels of masculinity. Results of the study failed to provide evidence that sibling composition and negative feedback by siblings affected a gay man’s level of hegemonic masculinity or masculine consciousness. Keywords: Social Roles, Gender Roles, Hegemonic Masculinity, Sexual Minority, SiblingsPsychologyCollege of Liberal Art