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Research Recap: Increasing data quality and transparency in the Shelby County criminal justice system
https://digitalcommons.memphis.edu/govpubs-tn-comptroller-office-research-education-accountability/1172/thumbnail.jp
Man and Molecules: The Dating Game in Archaeology
This lecture from the American Chemical Society\u27s series Man and Molecules examines the use of dating techniques, including carbon-14 dating, to determine the age of archaeological artifacts. This lecture was most likely recorded and released by the American Chemical Society prior to 1986
Correspondence, to Abe D. Waldauer from Jere L. Crook, 1934 June 5
Correspondence, to Abe D. Waldauer, Memphis, TN, from Jere L. Crook, The Crook Sanitorium, Inc., Jackson, TN, 1934 June 5. Crook is giving Waldauer a health update on one of Waldauer\u27s clients. Crook leaves a P.S. note, Are you obeying instructions I gave you? You cannot live on lettuce & spinach. You are neither a rabbit nor a squirrel. Hope you are eating & sleeping well. JLC.https://digitalcommons.memphis.edu/speccoll-mss-waldaueradpapers1/1002/thumbnail.jp
PRENATAL ACETAMINOPHEN USE AND OFFSPRING’S RESPIRATORY HEALTH OUTCOMES
Background: Respiratory health outcomes such as asthma and wheezing represent a significant public health burden, with increasing prevalence globally. Prenatal exposures during critical periods of fetal development, including the use of acetaminophen, may influence these outcomes. Genetic predispositions and epigenetic mechanisms are hypothesized to mediate or modify these effects. This dissertation explores the relationships between prenatal acetaminophen exposure, genetic polymorphisms, epigenetic changes, and respiratory health outcomes across two generations. Methods: Data were derived from the Isle of Wight longitudinal birth cohort, which includes three generations. The studies utilized maternal acetaminophen use data, serum acetaminophen metabolite levels, genetic polymorphisms of glutathione S-transferase (GST) enzymes, and DNA methylation profiles. Respiratory outcomes, including asthma, wheezing, and lung functions, were assessed at multiple time points in F1 (childhood to adulthood) and F2 (birth to early childhood) generations. Statistical analyses included generalized estimating equations, generalized log-linear models, and mediation and interaction models to evaluate the direct and indirect effects of acetaminophen metabolites on respiratory health outcomes. Results: Chapter 2: No direct association was found between prenatal acetaminophen metabolites and asthma or lung function in the F1-generation. However, significant gene-environment interactions were observed, with GST polymorphisms (e.g., GSTP1, GSTM4) amplifying the effects of acetaminophen metabolites on asthma risk and reduced lung function. Chapter 3: Maternal asthma and wheezing were found to modify the association between prenatal acetaminophen exposure and wheezing outcomes in the F2- generation, particularly for non-infectious wheezing. This highlights the interplay between maternal health, prenatal exposures, and offspring respiratory outcomes. Chapter 4: Differential DNA methylation patterns were identified in cord blood associated with prenatal acetaminophen exposure. These epigenetic changes potentially mediate the relationship between acetaminophen exposure and respiratory outcomes, suggesting a mechanism for intergenerational transmission of disease risk. Conclusions: This dissertation demonstrates that prenatal acetaminophen exposure, influenced by genetic and epigenetic factors, contributes to offspring respiratory health outcomes. Significant gene-environment interactions and epigenetic modifications were identified as key mechanisms underlying these associations. These findings emphasize the importance of maternal health and prenatal care and highlight the need for further research to guide safe medication use during pregnancy and inform public health strategies
Active Insight: Using Active Learning To Detect Students Who Need Help ASAP
CS Education has been plagued with high fail and dropout rates for some time. This has put a larger strain on traditional teaching practices and lead to many attempts to assist struggling students. To deal with these problems, many teachers started to incorporate software tools into their curriculum. By using platforms that came with copious examples and built in testing features, students were able to practice and learn on their own time with immediate feedback, although at a lesser quality. Researchers have often used student data to obtain a better understanding of how students will perform in the future with the goal of leveraging this knowledge to help students better perform. However, most of this work has been being focused on final grade predictions based off of homework grades, which means students have often already completed more as yet ungraded work, thereby compounding errors further. By focusing on smaller, more frequent coding exercises, predictions can be made in time for interventions before the student has moved on. I demonstrated the viability of using using in-class coding to improve student performance and participation, verified other experiments on the use of Active Learning techniques in classrooms, worked on determining the outcomes associated with giving students multiple attempts, and successfully modeled student performance on semi-weekly lab assignments based on in-class coding grades. I show the applicability of using in-class coding to predict various final grade targets. Then, I determined the viability of using in-class coding as features compared to and combined with more traditional features, such as homework assignments, as well as the benefits to such an approach. While testing this I compared the traditional prediction of grades with the prediction of general performance, an easier to utilize feature for determining which students need help. I compared predicting curved grades versus uncurved grades to determine the effects of curving on student performance prediction. Finally, I did a deep dive into the features that could be generated from in-class coding to determine what features were most important to an accurate prediction, so that models could be run more quickly by using less total features
A Complete Study of Benjamin Bona Mahony Type Equations
The purpose of this dissertation is to complete a study of Benjamin Bona Mahony (BBM) type equations. These are non-linear dispersive partial differential equations. The original BBM equation, also known as the regularized long-wave equation, was presented as an alternative to the Korteweg de Vries equation, and it has wide-ranging applications, including water waves and plasma physics. The original BBM equation is well studied. After an introduction of background materials and an explanation of notation, I begin by considering the modified BBM equation; here the nonlinear term is cubic. When the initial data are in the proper Sobolev space, the local well-posedness of the corresponding initial value problem follows from the Banach Fixed Point Theorem. To extend the solution globally, two important invariants of the initial value problem are applied to gain a priori bounds on the norm of the solution. To lower the regularity of the initial data, a new Banach space, with the maximum norm is introduced. This lower regularity case is a new result. Next, I turn my attention to the Regularized Gardner Equation. This equation combines the non-linearity of the original BBM equation with that of its modified form. Similar, but slightly more complicated, computations are performed to show the same results. Then I examine the Extended Benjamin Bona Mahony Equation (EBBM). This equation has two non-linear terms, one of even degree and another of larger and odd degree. To reduce the regularity of the initial data below a certain threshold, the constant coefficients in the equation must be constrained; then to lower it even further, again, a new Banach space endowed with the maximum norm is introduced. The EBBM equation can be considered as a particular case of the generalized BBM (GBBM) type equation. The nonlinearity of the GBBM equation is expressed as the derivative of a polynomial of degree n, greater than or equal to 3. I end my study by proving that the GBBM type equation is globally well-posed, under certain conditions
2025 Higher Education County Profile, Montgomery County
https://digitalcommons.memphis.edu/govpubs-tn-higher-education-commission-higher-education-county-profiles/1026/thumbnail.jp
2025 Higher Education County Profile, Wilson County
https://digitalcommons.memphis.edu/govpubs-tn-higher-education-commission-higher-education-county-profiles/1029/thumbnail.jp
Family Service of Memphis casework associates, 1968
Family Service of Memphis casework associates meeting around a table, 1968. Included but unidentified at the table are caseworker, Mathilda Whalum, and Mrs. Downing Pryor.
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This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).https://digitalcommons.memphis.edu/speccoll-mss-famservicememphis2/1007/thumbnail.jp
Annual Report, Associated Charities, Memphis, 1918
Seventh Annual Report of the Associated Charities, Memphis, TN. It covers the time period of 1917-1918.https://digitalcommons.memphis.edu/speccoll-mss-famservicememphis1/1006/thumbnail.jp