Community Identity, Culinary Traditions and Foodways in the Western Great Lakes

This dissertation project examines for evidence of substantial differences in community and community identity, as expressed through culinary traditions and foodways, of Early and Middle Woodland populations in the western Great Lakes region from circa 100 BC to AD 400. The research compares culinary traditions and foodways of Early and Middle Woodland populations in southeastern Wisconsin using multiple lines of fined grained material data derived from the Finch site (47JE0902). As an open air Early to Middle Woodland (ca 100 BC to AD 400) domestic habitation, the Finch site serves as a case study for elucidating culinary traditions and foodways at the community level. Implementing a multi-faceted approach, this study integrates traditional plant macrobotanical studies, faunal analyses, ceramic morphological and use wear analyses, and absorbed chemical residue analyses to provide a comprehensive overview of the intersection between food and community in this region of North America. The results of the study indicate overall similarities in culinary traditions and foodways of Early and Middle Woodland populations. The archaeological data reveal little evidence suggesting that what is archaeologically recognized as Early and Middle Woodland correlate with distinct communities. Based on the Finch site culinary traditions and foodways, groups in the southeastern Wisconsin region of the western Great Lakes did not become fully embedded within a broader Havana Hopewellian relational or symbolic community. The social processes at play in southeastern Wisconsin during the Early and Middle Woodland are distinct from those processes occurring elsewhere in the Havana Hopewellian world, undoubtedly a factor in community identity formation and transformation within this region of the western Great Lakes. The study underscores the importance and utility of incorporating multiple lines of material evidence to address archaeological research questions and challenges the current taxonomic classification schema for southeastern Wisconsin

Developing a Peer-to-Peer mHealth Application to Connect Hispanic Cancer Patients

Purpose: Cancer and its treatment can significantly impact health-related quality of life (HRQOL) [29, 4], particularly for Hispanics [8, 17]. Moreover, providers of cancer support for this population may encounter unique challenges. Grounded in social capital theory, this study identified Spanish-speaking, Hispanic breast cancer survivor support needs and preferences for a mHealth intervention. Methods: A user-centered, community-engaged research design was employed, consisting of focus groups made up of constituents from a local Hispanic-serving, cancer support organization. Focus group audio-recordings, translated into English, were coded using a grounded theory analytic approach. First, lead researchers read the complete transcripts to obtain a general sense of the discussion. Next, coding rules were established (e.g., code at the most granular level; double and triple code if necessary, code exhaustively) and initial codebook was created through open-coding. Three new coders were trained to establish requisite kappa statistic levels (≥.70) for inter-rater reliability. With training and discussion, kappa estimates reached .81-.88. Results: Focus group (n=31) results revealed a mHealth intervention targeting Hispanic cancer patients should not only offer information and support on disease/treatment effects, but also respond to the individual’s HRQOL, particularly emotional and social challenges. Specifically, participants expressed a strong desire for Spanish content and to connect with others who had gone through a similar experience. Overall, participants indicated they would have access to and would use such an intervention. Conclusions: Findings indicate positive support for a mHealth, tool, which is culturally tailored to Spanish-speakers, is available in Spanish, and connects cancer patients with survivors

Toward Automation of the Supine Pressor Test for Preeclampsia

Preeclampsia leads to increased risk of morbidity and mortality for both mother and fetus. Most previous studies have largely neglected mechanical compression of the left renal vein by the gravid uterus as a potential mechanism. In this study, we first used a murine model to investigate the pathophysiology of left renal vein constriction. The results indicate that prolonged renal vein stenosis after 14 days can cause renal necrosis and an increase in blood pressure (BP) of roughly 30 mmHg. The second part of this study aimed to automate a diagnostic tool, known as the supine pressor test (SPT), to enable pregnant women to assess their preeclampsia development risk. A positive SPT has been previously defined as an increase of at least 20 mmHg in diastolic BP when switching between left lateral recumbent and supine positions. The results from this study established a baseline BP increase between the two body positions in nonpregnant women and demonstrated the feasibility of an autonomous SPT in pregnant women. Our results demonstrate that there is a baseline increase in BP of roughly 10-14 mmHg and that pregnant women can autonomously perform the SPT. Overall, this work in both rodents and humans suggests that (1) stenosis of the left renal vein in mice leads to elevation in BP and acute renal failure, (2) nonpregnant women experience a baseline increase in BP when they shift from left lateral recumbent to supine position, and (3) the SPT can be automated and used autonomously

Measuring Transit Signal Recovery in the Kepler Pipeline II: Detection Efficiency as Calculated in One Year of Data

The Kepler planet sample can only be used to reconstruct the underlying planet occurrence rate if the detection efficiency of the Kepler pipeline is known, here we present the results of a second experiment aimed at characterising this detection efficiency. We inject simulated transiting planet signals into the pixel data of ~10,000 targets, spanning one year of observations, and process the pixels as normal. We compare the set of detections made by the pipeline with the expectation from the set of simulated planets, and construct a sensitivity curve of signal recovery as a function of the signal-to-noise of the simulated transit signal train. The sensitivity curve does not meet the hypothetical maximum detection efficiency, however it is not as pessimistic as some of the published estimates of the detection efficiency. For the FGK stars in our sample, the sensitivity curve is well fit by a gamma function with the coefficients a = 4.35 and b = 1.05. We also find that the pipeline algorithms recover the depths and periods of the injected signals with very high fidelity, especially for periods longer than 10 days. We perform a simplified occurrence rate calculation using the measured detection efficiency compared to previous assumptions of the detection efficiency found in the literature to demonstrate the systematic error introduced into the resulting occurrence rates. The discrepancies in the calculated occurrence rates may go some way towards reconciling some of the inconsistencies found in the literature.Comment: 13 pages, 7 figures, 1 electronic table, accepted by Ap

Measuring Transit Signal Recovery in the Kepler Pipeline. III. Completeness of the Q1-Q17 DR24 Planet Candidate Catalogue, with Important Caveats for Occurrence Rate Calculations

With each new version of the Kepler pipeline and resulting planet candidate catalogue, an updated measurement of the underlying planet population can only be recovered with an corresponding measurement of the Kepler pipeline detection efficiency. Here, we present measurements of the sensitivity of the pipeline (version 9.2) used to generate the Q1-Q17 DR24 planet candidate catalog (Coughlin et al. 2016). We measure this by injecting simulated transiting planets into the pixel-level data of 159,013 targets across the entire Kepler focal plane, and examining the recovery rate. Unlike previous versions of the Kepler pipeline, we find a strong period dependence in the measured detection efficiency, with longer (>40 day) periods having a significantly lower detectability than shorter periods, introduced in part by an incorrectly implemented veto. Consequently, the sensitivity of the 9.2 pipeline cannot be cast as a simple one-dimensional function of the signal strength of the candidate planet signal as was possible for previous versions of the pipeline. We report on the implications for occurrence rate calculations based on the Q1-Q17 DR24 planet candidate catalog and offer important caveats and recommendations for performing such calculations. As before, we make available the entire table of injected planet parameters and whether they were recovered by the pipeline, enabling readers to derive the pipeline detection sensitivity in the planet and/or stellar parameter space of their choice.Comment: 8 pages, 5 figures, full electronic version of Table 1 available at the NASA Exoplanet Archive; accepted by ApJ May 2nd, 201

Factors affecting retention and compliance in a longitudinal study of connected, low income, urban, primiparous mothers

poster abstractAbstract Background/Aims Longitudinal obstetrics studies are vital to our understanding of the physiological and social changes that occur during pregnancy and the early postpartum period in the mother and baby. Variables collected in a longitudinal obstetrics study were analyzed to identify factors affecting retention and compliance within a low-income, primiparous population. Methods Primiparous women were recruited for a prospective cohort longitudinal study. Two study arms were used. The first collected survey data on mood, sleep, and night time eating and actigraphic data for seven days during weeks 22 and 32 of gestation and one week postpartum. The second was identical but had an additional 24 hour sampling of saliva. In addition, breast fullness surveys were administered each day for the first five days postpartum. Pick up and drop off of study materials at the research site were required for each time point. Results Ninety-two women were recruited; 45% (n=41) were retained and compliant for the entire study. The majority of subjects (88%) had daily internet access, completed surveys on-line (81.4%), and preferred to receive text messages (93.5%) for study reminders over other methods of communication. Longitudinal time (P<0.001), increased number of reminders (P<0.001), and increased length of time to complete surveys (P<0.001) had a significant negative effect on study retention, whereas enrollment in the study arm with greater sampling and communication (P<0.001) and earning a higher percentage of available compensation (P<0.001) had a significant positive effect on study retention. Conclusions The high rate of daily internet access and preference for text messaging for primary means of communication with research staff suggests a high rate of smart-device technology use among young, urban-dwelling, low-income women. Designing studies that can be completed via internet and using text message reminders may be a preferable and practical means of conducting longitudinal obstetrics studies

Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments

EVidenceModeler (EVM) is an automated annotation tool that predicts protein-coding regions, alternatively spliced transcripts and untranslated regions of eukaryotic genes

Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence

Introduction: Practice-Based Research Networks (PBRNs) and health systems may provide timely, reliable data to guide the development and distribution of public health resources to promote healthy behaviors, such as quitting smoking. The objective of this study was to determine if PBRN data could be used to make neighborhood-level estimates of smoking prevalence. Methods: We estimated the smoking prevalence in 32 greater Boston neighborhoods (population = 877,943 adults) by using the electronic health record data of adults who in 2009 visited one of 26 Partners Primary Care PBRN practices (n = 77,529). We compared PBRN-derived estimates to population-based estimates derived from 1999–2009 Behavioral Risk Factor Surveillance System (BRFSS) data (n = 20,475). Results: The PBRN estimates of neighborhood smoking status ranged from 5% to 22% and averaged 11%. The 2009 neighborhood-level smoking prevalence estimates derived from the BRFSS ranged from 5% to 26% and averaged 13%. The difference in smoking prevalence between the PBRN and the BRFSS averaged −2 percentage points (standard deviation, 3 percentage points). Conclusion: Health behavior data collected during routine clinical care by PBRNs and health systems could supplement or be an alternative to using traditional sources of public health data

Training in the Management of Psychobehavioral Conditions: A Needs Assessment Survey of Emergency Medicine Residents

ObjectiveMental health–related ED visits are increasing. Despite this trend, most emergency medicine (EM) residency programs devote little time to psychiatry education. This study aimed to identify EM residents’ perceptions of training needs in emergency psychiatry and self‐confidence in managing patients with psychobehavioral conditions.MethodsA needs assessment survey was distributed to residents at 15 Accreditation Council for Graduate Medical Education–accredited EM programs spanning the U.S. Survey items addressed amount and type of training in psychiatry during residency, perceived training needs in psychiatry, and self‐confidence performing various clinical skills related to emergency psychiatric care. Residents used a 5‐point scale (1 = nothing; 5 = very large amount) to rate their learning needs in a variety of topic areas related to behavioral emergencies (e.g., medically clearing patients, substance use disorders). Using a scale from 0 to 100, residents rated their confidence in their ability to independently perform various clinical skills related to emergency psychiatric care (e.g., differentiating a psychiatric presentation from delirium).ResultsOf the 632 residents invited to participate, 396 (63%) responded. Twelve percent of respondents reported completing a psychiatry rotation during EM residency. One of the 15 participating programs had a required psychiatry rotation. Residents reported that their program used lectures (56%) and/or supervised training in the ED (35%) to teach residents about psychiatric emergencies. Most residents reported minimal involvement in the treatment of patients with psychiatric concerns. The majority of residents (59%) believed that their program should offer more education on managing psychiatric emergencies. Only 14% of residents felt “quite” or “extremely” prepared to treat psychiatric patients. Overall, residents reported the lowest levels of confidence and highest need for more training related to counseling suicidal patients and treating psychiatric issues in special populations (e.g., pregnant women, elderly, and children).ConclusionsMost EM residents desire more training in managing psychiatric emergencies than is currently provided.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152005/1/aet210377-sup-0001-DataSupplementS1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152005/2/aet210377.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152005/3/aet210377_am.pd