63 research outputs found
Pregnancy Care for Patients With Super Morbid Obesity
The patient with obesity represents unique challenges to the medical community and, in the setting of pregnancy, additional risks to both mother and fetus. This document will focus on the risks and considerations needed to care for the women with obesity and her fetus during the antepartum, intrapartum, and immediate postpartum stages of pregnancy. Specific attention will be given to pregnancy in the setting of class III and super morbid obesity
Snapping Turtle, Chelydra serpentina, Overland Movements Near the Southeastern Extent of its Range
Terrestrial movements of turtles are of interest due to the conservation implications for this imperiled group and the general lack of information on this topic, particularly in wide-ranging species. The snapping turtle, Chelydra serpentina, is one of the most broadly distributed chelonians in the world; they occur from southeastern Canada westward to Alberta and throughout the eastern half of the United States and into Central America. Most research on this species has been focused on populations in the northern portion of the range. In this study, we radio-tracked five turtles in southwestern Georgia, where published data on spatial ecology and movements are lacking. Turtles exhibited extensive overland movements which we suspect occurred in response to drought
Trajectories of multiple adolescent health risk behaviors in a low-income African American population
This study examined interdependent trajectories of sexual risk, substance use, and conduct problems among 12–18 year-old African American youth who were followed annually as part of the Mobile Youth Study (MYS). We used growth-mixture modeling (GMM) to model the development of these three outcomes in the 1406 participants who met the inclusion criteria. Results indicate that there were four distinct classes: normative low risk (74.3% of sample); increasing high risk takers (11.9%); adolescent-limited conduct problems and drug risk with high risky sex (8.0%); and early experimenters (5.8%) The higher risk classes had higher rates of pregnancy and Sexually Transmitted Infections (STI) diagnoses than the normative sample at each of the ages we examined. Differing somewhat from our hypothesis, all of the non-normative classes exhibited high sexual risk behavior. While prevention efforts should be focused on addressing all three risk behaviors, the high rate of risky sexual behavior in the 25% of the sample that fall into the three non-normative classes, underscores an urgent need for improved sex education, including teen pregnancy and HIV/STI prevention, in this community
MP756: Eastern Regional Potato Trials 2004: Summary of NE1014 Regional Project Field Testing of New Potato Clones
The objectives of this regional potato trial are (1) to develop pest-resistant, early-maturing, long-dormant potato varieties that will process from cold storage; (2) to evaluate new and specialty varieties developed in the Northeast; (3) to determine climatic effects on performance to develop predictive models for potato improvement; and (4) determine heritability/linkage relationships and improve the genetic base of tetraploid cultivated varieties. The results presented in this report reflect a portion of the activity directed toward objectives 1, 2 and 3.https://digitalcommons.library.umaine.edu/aes_miscpubs/1019/thumbnail.jp
MP755: Eastern Regional Potato Trials 2003: Summary of NE1014 Regional Project Field Testing of New Potato Clones
The objectives of this regional potato trial are (1) to develop pest-resistant, early-maturing, long-dormant potato varieties that will process from cold storage; (2) to evaluate new and specialty varieties developed in the Northeast; (3) to determine climatic effects on performance to develop predictive models for potato improvement; and (4) determine heritability/linkage relationships and improve the genetic base of tetraploid cultivated varieties. The results presented in this report reflect a portion of the activity directed toward objectives 1, 2 and 3.https://digitalcommons.library.umaine.edu/aes_miscpubs/1020/thumbnail.jp
Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
The approaches by which the machine learning and clinical research
communities utilize real world data (RWD), including data captured in the
electronic health record (EHR), vary dramatically. While clinical researchers
cautiously use RWD for clinical investigations, ML for healthcare teams consume
public datasets with minimal scrutiny to develop new algorithms. This study
bridges this gap by developing and validating ML-DQA, a data quality assurance
framework grounded in RWD best practices. The ML-DQA framework is applied to
five ML projects across two geographies, different medical conditions, and
different cohorts. A total of 2,999 quality checks and 24 quality reports were
generated on RWD gathered on 247,536 patients across the five projects. Five
generalizable practices emerge: all projects used a similar method to group
redundant data element representations; all projects used automated utilities
to build diagnosis and medication data elements; all projects used a common
library of rules-based transformations; all projects used a unified approach to
assign data quality checks to data elements; and all projects used a similar
approach to clinical adjudication. An average of 5.8 individuals, including
clinicians, data scientists, and trainees, were involved in implementing ML-DQA
for each project and an average of 23.4 data elements per project were either
transformed or removed in response to ML-DQA. This study demonstrates the
importance role of ML-DQA in healthcare projects and provides teams a framework
to conduct these essential activities.Comment: Presented at 2022 Machine Learning in Health Care Conferenc
Transitions from Telephone Surveys to Self-Administered and Mixed-Mode Surveys: AAPOR Task Force Report
Telephone surveys have been a ubiquitous method of collecting survey data, but the environment for telephone surveys is changing. Many surveys are transitioning from telephone to self-administration or combinations of modes for both recruitment and survey administration. Survey organizations are conducting these transitions from telephone to mixed modes with only limited guidance from existing empirical literature and best practices. This article summarizes findings by an AAPOR Task Force on how these transitions have occurred for surveys and research organizations in general. We find that transitions from a telephone to a selfadministered or mixed-mode survey are motivated by a desire to control costs, to maintain or improve data quality, or both. The most common mode to recruit respondents when transitioning is mail, but recent mixedmode studies use only web or mail and web together as survey administration modes. Although early studies found that telephone response rates met or exceeded response rates to the self-administered or mixed modes, after about 2013, response rates to the self-administered or mixed modes tended to exceed those for the telephone mode, largely because of a decline in the telephone mode response rates. Transitioning offers opportunities related to improved frame coverage and geographic targeting, delivery of incentives, visual design of an instrument, and cost savings, but challenges exist related to selecting a respondent within a household, length of a questionnaire, differences across modes in use of computerization to facilitate skip patterns and other questionnaire design features, and lack of an interviewer for respondent motivation and clarification. Other challenges related to surveying youth, conducting surveys in multiple languages, collecting nonsurvey data such as biomeasures or consent to link to administrative data, and estimation with multiple modes are also prominent
MP757: Eastern Regional Potato Trials 2005: Summary of NE1014 Regional Project Field Testing of New Potato Clones
The objectives of this regional potato trial are (1) to develop pest-resistant, early-maturing, long-dormant potato varieties that will process from cold storage; (2) to evaluate new and specialty varieties developed in the Northeast; (3) to determine climatic effects on performance to develop predictive models for potato improvement; and (4) determine heritability/linkage relationships and improve the genetic base of tetraploid cultivated varieties. The results presented in this report reflect a portion of the activity directed toward objectives 1, 2 and 3.https://digitalcommons.library.umaine.edu/aes_miscpubs/1018/thumbnail.jp
Supporting the Inclusion of Socially Vulnerable Early Adolescents: Theory and Illustrations of the BASE Model
We focus on the inclusion of socially vulnerable early adolescents including students with special education needs (SEN). Building from multiple intervention and randomized control trials of a professional development model aimed at supporting teachers\u27 management of the classroom social context, we provide an overview of the Behavioral, Academic, and Social Engagement (BASE) Model as a framework to foster social inclusion. We briefly review the conceptual foundations of this model and we present the delivery (i.e., directed consultation, the scouting report process) and content (i.e., Academic Engagement Enhancement, Competence Enhancement Behavior Management, Social Dynamics Management) components of BASE. We then briefly discuss the intervention support needs of subtypes of socially vulnerable youth and how these needs can be differentially addressed within the BASE framework.
Many students are concerned about social difficulties during the late elementary and middle school years (Graham et al., 2006; Rice et al., 2011). This is particularly true for early adolescents with special education needs (SEN) who are at increased risk for peer rejection, social isolation, and involvement in peer victimization (Frederickson and Furnham, 2004; Estell et al., 2009a; Sullivan et al., 2015). The Behavioral, Academic, and Social Engagement (BASE) Model was developed as a holistic, ecological classroom management approach that teachers can use to support socially vulnerable youth during the transition to middle school. Our goal is to describe the application of the BASE model for supporting the inclusion of distinct subtypes of students with SEN during the late childhood and early adolescent school years.
We address five aims. We begin with an overview of the social inclusion of students with SEN. Then, we build upon a person-in context dynamic systems perspective to describe the theoretical foundations of the BASE model. Next, we summarize the intervention components and practice elements of the BASE model and their linkages to key social development process variables typically experienced by early adolescents. Building on research using latent profile analysis of interpersonal competence, we discuss three distinct configurations or subtypes of socially vulnerable youth: popular aggressive; passive; and low-adaptive (i.e., multi-risk). Finally, using these configurations and associated adjustment factors as a guide, we illustrate how teachers can use the BASE model to adapt strategies and supports for each subtype. We focus on how teachers need to be attuned not only to the differential needs of sub-types of youth, but to also be aware that their management of the classroom experience of students characterized by different configurations may contribute to how subtypes of students are perceived by their classmates and their corresponding relationships and social roles in the peer ecology
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