UC-120 Virtual Companionship Chatbot

Loneliness affects about 77% of college students at some point, highlighted by a Gitnuss report. Our project aims to mitigate this by introducing a personalized chatbot that serves as an emotional outlet for students. The application is built on a React Native frontend, employs a DistilGPT-2 language model using the QUAC dataset, and is backed by a Python server. We plan to deploy it on an Azure NC6s_v3 Cloud server, integrating Firebase Real-Time Database for Android and iOS compatibility

Conocimientos y utilización de la teoría de las concepciones alternativas en un grupo de docentes de ciencias naturales en la ciudad de Mérida, Venezuela

Desde una visión constructivista de la enseñanza de las ciencias, se plantea que los docentes deben buscar conocer las concepciones que tienen sus alumnos, para a partir de ellas estructurar una dinámica educativa que permita que estos se apropien o construyan el conocimiento científico. En base a esto, esta investigación se interesó en estudiar los conocimientos y la utilización de la teoría de las concepciones alternativas en un grupo de docentes de ciencias naturales de la ciudad de Mérida, Venezuela. La metodología empleada fue interpretativa, con la entrevista semiestructurada y la observación no participante. Los resultados muestran una tendencia entre los docentes al desconocimiento general de las teorías constructivistas, y de forma específica, de la teoría las concepciones alternativas, y su utilidad en los procesos de enseñanza y aprendizaje

Amniotic Fluid Glucose Concentration: A Marker for Infection in Preterm Labor and Preterm Premature Rupture of Membranes

Amniotic fluid Gram stain and culture have been utilized as laboratory tests of microbial invasion of the amniotic cavity. The Gram stain of amniotic fluid has a low sensitivity in the detection of clinical infection or microbial invasion of the amniotic cavity, and amniotic fluid culture results are not immediately available for management decisions. Glucose concentration is used to diagnose infection in other sites such as cerebrospinal fluid

Racial/ethnic disparities in health-related quality of life and health status across pre-, early-, and mid-adolescence: a prospective cohort study.

PURPOSE:To examine (1) racial/ethnic disparities in health-related quality of life (HRQOL) and overall health status among Black, Latino, and White youth during adolescence; (2) whether socioeconomic status (SES) and family contextual variables influence disparities; and (3) whether disparities are consistent from pre- to early- to mid-adolescence. METHODS:A population sample of 4823 Black (1755), Latino (1812), and White (1256) youth in three US metropolitan areas was prospectively assessed in a longitudinal survey conducted on three occasions, in 5th, 7th, and 10th grades, when youth reported their HRQOL using the PedsQL™ short-form Total, Physical and Psychosocial scales and youth and parents separately reported on youth's overall health status. Parents reported their education and household income to index SES, family structure, and use of English at home. RESULTS:Based on analysis conducted separately at each grade, marked racial/ethnic disparities were observed across all measures of HRQOL and health status, favoring White and disfavoring Black, and especially Latino youth. More strongly present in 5th and 7th grade, HRQOL disparities decreased by 10th grade. Most disparities between White and Black youth disappeared when adjusting for SES. However, even after adjusting for SES, family structure, and English use, overall health status disparities disfavoring Latino youth remained across all three assessments. CONCLUSIONS:Racial/ethnic disparities in adolescent HRQOL and health are substantial. These disparities appear consistent from pre- to early-adolescence but diminish for HRQOL by mid-adolescence. As disparities appear influenced by SES and other family contextual variables differently in different racial/ethnic groups, efforts to reduce health disparities in youth should address culturally specific conditions impinging on health

Prognostic significance of human pituitary tumor-transforming gene immunohistochemical expression in differentiated thyroid cancer

Context: Human securin pituitary tumor-transforming gene (hPTTG) is overexpressed in a variety of primary neoplasias, including differentiated thyroid cancer (DTC). Objective: The objective of this study was to examine the immunohistochemical expression of hPTTG in DTC and its association with known prognostic factors. Design: hPTTG expression was analyzed by immunostaining on paraffin-embedded tissues. Clinical data were used to determine any associations between the expression of hPTTG and prognostic variables of DTC. A median follow-up of 43 months allowed us to analyze the persistence of disease and the response to radioiodine therapy. Setting: The study was conducted at a tertiary university hospital. Patients: Ninety-five patients undergoing surgical resection for DTC (n = 60) or benign nodular thyroid disease (n = 35) were studied. Main Outcome Measure: The main outcome measure was the association between hPTTG expression and prognostic factors in DTC. Results: Among DTC cases, 21 (35%) had low and 39 (65%) had high hPTTG immunostaining. Adjacent nonneoplastic thyroid tissue was largely unstained. Among benign nodular thyroid disease cases, immunostaining was detected focally in eight (22.8%). A significant association was found between hPTTG expression and the presence of nodal (P < 0.01) or distant metastases (P < 0.05). A significant association with TNM was also found, because 83.3% of advanced TNM stages showed elevated hPTTG (P < 0.05). The association between hPTTG overexpression and decreased radioiodine uptake during follow-up was also significant (P < 0.05). The expression levels of hPTTG were confirmed as an independent prognostic factor for persistent disease (relative risk, 3.0; 95% confidence interval, 1.1-8.7; P < 0.05). Conclusions: Immunohistochemical analysis of hPTTG is of potential value in the determination of tumor aggressiveness in DTC.Peer Reviewe

Social Determinants of Health Predict Readmission Following Covid-19 Hospitalization: a Health information Exchange-Based Retrospective Cohort Study

INTRODUCTION: Since February 2020, over 104 million people in the United States have been diagnosed with SARS-CoV-2 infection, or COVID-19, with over 8.5 million reported in the state of Texas. This study analyzed social determinants of health as predictors for readmission among COVID-19 patients in Southeast Texas, United States. METHODS: A retrospective cohort study was conducted investigating demographic and clinical risk factors for 30, 60, and 90-day readmission outcomes among adult patients with a COVID-19-associated inpatient hospitalization encounter within a regional health information exchange between February 1, 2020, to December 1, 2022. RESULTS AND DISCUSSION: In this cohort of 91,007 adult patients with a COVID-19-associated hospitalization, over 21% were readmitted to the hospital within 90  days

ASIC implementation of an ARM - based system on chip

This paper presents the hardware architecture of a System on Chip (SoC) implemented in an ASIC. It has been designed for a wide range of applications and will be used in a power line modem. A set of reusable cells based on AMBA standard has been also designed, included memory, interrupt controller and peripherals. Presented architecture implements an ARM© processor, a 32-bit RISC processor which is becoming a RISC standard

Examining Social Vulnerability and the association With Covid-19 incidence in Harris County, Texas

Studies have investigated the association between social vulnerability and SARS-CoV-2 incidence. However, few studies have examined small geographic units such as census tracts, examined geographic regions with large numbers of Hispanic and Black populations, controlled for testing rates, and incorporated stay-at-home measures into their analyses. Understanding the relationship between social vulnerability and SARS-CoV-2 incidence is critical to understanding the interplay between social determinants and implementing risk mitigation guidelines to curtail the spread of infectious diseases. The objective of this study was to examine the relationship between CDC\u27s Social Vulnerability Index (SVI) and SARS-CoV-2 incidence while controlling for testing rates and the proportion of those who stayed completely at home among 783 Harris County, Texas census tracts. SARS-CoV-2 incidence data were collected between May 15 and October 1, 2020. The SVI and its themes were the primary exposures. Median percent time at home was used as a covariate to measure the effect of staying at home on the association between social vulnerability and SARS-CoV-2 incidence. Data were analyzed using Kruskal Wallis and negative binomial regressions (NBR) controlling for testing rates and staying at home. Results showed that a unit increase in the SVI score and the SVI themes were associated with significant increases in SARS-CoV-2 incidence. The incidence risk ratio (IRR) was 1.090 (95% CI, 1.082, 1.098) for the overall SVI; 1.107 (95% CI, 1.098, 1.115) for minority status/language; 1.090 (95% CI, 1.083, 1.098) for socioeconomic; 1.060 (95% CI, 1.050, 1.071) for household composition/disability, and 1.057 (95% CI, 1.047, 1.066) for housing type/transportation. When controlling for stay-at-home, the association between SVI themes and SARS-CoV-2 incidence remained significant. In the NBR model that included all four SVI themes, only the socioeconomic and minority status/language themes remained significantly associated with SARS-CoV-2 incidence. Community-level infections were not explained by a communities\u27 inability to stay at home. These findings suggest that community-level social vulnerability, such as socioeconomic status, language barriers, use of public transportation, and housing density may play a role in the risk of SARS-CoV-2 infection regardless of the ability of some communities to stay at home because of the need to work or other reasons

Choosing and Maintaining Programs for Sex Education in Schools: The CHAMPSS Model

Background: Despite effective solutions to reduce teen birth rates, Texas teen birth rates are among the highest in the nation. School districts can impact youth sexual behavior through implementation of evidence-based programs (EBPs); however, teen pregnancy prevention is a complex and controversial issue for school districts. Subsequently, very few districts in Texas implement EBPs for pregnancy prevention. Additionally, school districts receive little guidance on the process for finding, adopting, and implementing EBPs. Purpose: The purpose of this report is to present the CHoosing And Maintaining Programs for Sex education in Schools (CHAMPSS) Model, a practical and realistic framework to help districts find, adopt, and implement EBPs. Methods: Model development occurred in four phases using the core processes of Intervention Mapping: 1) knowledge acquisition, 2) knowledge engineering, 3) model representation, and 4) knowledge development. Results: The CHAMPSS Model provides seven steps, tailored for school-based settings, which encompass phases of assessment, preparation, implementation, and maintenance: Prioritize, Asses, Select, Approve, Prepare, Implement, and Maintain. Advocacy and eliciting support for adolescent sexual health are also core elements of the model. Conclusion: This systematic framework may help schools increase adoption, implementation, and maintenance for EBPs

Racial and Ethnic Health Disparities among Fifth-Graders in Three Cities

http://dx.doi.org/10.1056/NEJMsa111435