Relationships Between Embedded Tutors and Instructors: Understanding Power Dynamics Inside and Outside the Classroom

Basic writers have long needed support to write more successfully at the postsecondary level. One method currently used is embedded tutoring programs, where students receive the support of the instructor and a tutor throughout the entire semester of first-year composition programs. These programs often provide students with academic and professional support, helping them learn to write for the university and beyond. While these programs have shown to be successful in the current literature on embedded tutoring programs, a gap in the research is that many of these studies focus on student outcomes and student success. Hardly any of these studies focus on the relationships that form between instructors and tutors. This study aims to fill that gap to determine best practices for designing embedded tutoring programs and creating better partnerships between instructors and tutors. A research study was conducted to examine these partnerships using a grounded theory methodology. In this study, 23 tutors and 17 instructors with 39 resulting dyads were studied to understand the roles of tutors and instructors and what interrelationships patterns form due to these partnerships. This research had a couple of key findings. Even thought university rules and accrediting body guidelines primary dictate the responsibilities of tutors and instructors, some parts of their roles are negotiated between instructors and tutors. Instructors and tutors have different perceptions of their roles that impact how well they work with one another. The researchers also found that instructors and tutors work best when there is open communication and collaboration between the partners. Those who clearly establish roles and boundaries and maintain them throughout have the best partnerships. Instructors must be willing to relinquish some of their power and authority to foster a better relationship with their tutors. Lastly, in embedded tutoring programs, tutors grow as professionals learning through a cognitive apprenticeship. Program coordinators can take these findings to help them better design, develop, implement, and evaluate embedded tutoring courses for first-year composition courses and beyond

Development and Application of an Interdisciplinary Rapid Message Testing Model for COVID-19 in North Carolina

Introduction From the onset of the COVID-19 pandemic, public health officials have sought to develop evidence-based messages to reduce COVID-19 transmission by communicating key information to media outlets and the public. We describe the development of an interdisciplinary rapid message testing model to quickly create, test, and share messages with public health officials for use in health campaigns and policy briefings. Methods An interdisciplinary research team from the University of North Carolina at Chapel Hill assembled in March 2020 to assist the state health department in developing evidence-based messages to influence social distancing behaviors in the state. We developed and iteratively executed a rapid message testing model; the components of the 4-step model were message creation, survey development, survey administration, and analysis and presentation to health department officials. The model was executed 4 times, each during a 7-day period in April and May, and each subsequent survey included new phrasing and/or messaging informed by the previous week’s survey. A total of 917 adults from North Carolina participated in the 4 surveys. Results Survey participants rated messages focused on protecting oneself and others higher than messages focused on norms and fear-based approaches. Pairing behaviors with motivations increased participants’ desire to social distance across all themes and subgroups. For example, adding “Protect your grandmother, your neighbor with cancer, and your best friend with asthma,” to messaging received a 0.9-point higher score than the base message, “Stay 6 feet apart from others when out in public.” Practice Implications Our model to promote social distancing in North Carolina during the COVID-19 pandemic can be used for rapid, iterative message testing during public health emergencies

Tidal dynamics and mangrove carbon sequestration during the Oligo–Miocene in the South China Sea

Modern mangroves are among the most carbon-rich biomes on Earth, but their long-term (≥106 yr) impact on the global carbon cycle is unknown. The extent, productivity and preservation of mangroves are controlled by the interplay of tectonics, global sea level and sedimentation, including tide, wave and fluvial processes. The impact of these processes on mangrove-bearing successions in the Oligo–Miocene of the South China Sea (SCS) is evaluated herein. Palaeogeographic reconstructions, palaeotidal modelling, and facies analysis suggest that elevated tidal range and bed shear stress optimised mangrove development along tide-influenced tropical coastlines. Preservation of mangrove organic carbon (OC) was promoted by high tectonic subsidence and fluvial sediment supply. Lithospheric storage of OC in peripheral SCS basins potentially exceeded 4000 Gt (equivalent to 2000 ppm of atmospheric CO2). These results highlight the crucial impact of tectonic and oceanographic processes on mangrove OC sequestration within the global carbon cycle on geological timescales

Social support among HIV-positive and HIV-negative adolescents in Umlazi, South Africa: changes in family and partner relationships during pregnancy and the postpartum period

Abstract Background Pregnancy is common among adolescents in South Africa, yet the social experiences of adolescents during the pregnancy and postpartum period remain understudied in this context. We aimed to explore how adolescent women’s discovery and disclosure of both their pregnancy and HIV status affected their relationships with family members and sexual partners, with a particular focus on whether and how support changed throughout this time period. Methods We conducted in-depth semi-structured interviews with 15 HIV-positive and HIV-negative adolescent women who were either pregnant or had delivered in the last 18 months from one urban clinic in Umlazi, South Africa. Interviews were audiotaped, transcribed, translated, and coded for analysis. Results Young women described stress and instability in their relationships with family and partners during pregnancy and the postpartum period, though prior to and during HIV-status disclosure women generally experienced less stress than in disclosing their pregnancy to family members and partners. After a destabilizing period immediately following pregnancy disclosure, families became and remained the primary source of material and emotional support for the young women. Women discussed heightened closeness with their partners during pregnancy, but few women had close relationships with their partners postpartum. Support experiences did not differ by HIV status. Conclusion Programs should be aware of the relative importance of pregnancy-related concerns over HIV-related concerns in this population of young women. Engaging family members is critical in ensuring social support for this population of young pregnant women, and in encouraging timely initiation of antenatal care

Direct numerical simulations of particle-laden density currents with adaptive, discontinuous finite elements

High-resolution direct numerical simulations (DNSs) are an important tool for the detailed analysis of turbidity current dynamics. Models that resolve the vertical structure and turbulence of the flow are typically based upon the Navier–Stokes equations. Two-dimensional simulations are known to produce unrealistic cohesive vortices that are not representative of the real three-dimensional physics. The effect of this phenomena is particularly apparent in the later stages of flow propagation. The ideal solution to this problem is to run the simulation in three dimensions but this is computationally expensive. <br><br> This paper presents a novel finite-element (FE) DNS turbidity current model that has been built within Fluidity, an open source, general purpose, computational fluid dynamics code. The model is validated through re-creation of a lock release density current at a Grashof number of 5 &times; 10⁶ in two and three dimensions. Validation of the model considers the flow energy budget, sedimentation rate, head speed, wall normal velocity profiles and the final deposit. Conservation of energy in particular is found to be a good metric for measuring model performance in capturing the range of dynamics on a range of meshes. FE models scale well over many thousands of processors and do not impose restrictions on domain shape, but they are computationally expensive. The use of adaptive mesh optimisation is shown to reduce the required element count by approximately two orders of magnitude in comparison with fixed, uniform mesh simulations. This leads to a substantial reduction in computational cost. The computational savings and flexibility afforded by adaptivity along with the flexibility of FE methods make this model well suited to simulating turbidity currents in complex domains

Use of Social Media Across US Hospitals: Descriptive Analysis of Adoption and Utilization

Background: Use of social media has become widespread across the United States. Although businesses have invested in social media to engage consumers and promote products, less is known about the extent to which hospitals are using social media to interact with patients and promote health. Objective: The aim was to investigate the relationship between hospital social media extent of adoption and utilization relative to hospital characteristics. Methods: We conducted a cross-sectional review of hospital-related activity on 4 social media platforms: Facebook, Twitter, Yelp, and Foursquare. All US hospitals were included that reported complete data for the Centers for Medicare and Medicaid Services Hospital Consumer Assessment of Healthcare Providers and Systems survey and the American Hospital Association Annual Survey. We reviewed hospital social media webpages to determine the extent of adoption relative to hospital characteristics, including geographic region, urban designation, bed size, ownership type, and teaching status. Social media utilization was estimated from user activity specific to each social media platform, including number of Facebook likes, Twitter followers, Foursquare check-ins, and Yelp reviews. Results: Adoption of social media varied across hospitals with 94.41% (3351/3371) having a Facebook page and 50.82% (1713/3371) having a Twitter account. A majority of hospitals had a Yelp page (99.14%, 3342/3371) and almost all hospitals had check-ins on Foursquare (99.41%, 3351/3371). Large, urban, private nonprofit, and teaching hospitals were more likely to have higher utilization of these accounts. Conclusions: Although most hospitals adopted at least one social media platform, utilization of social media varied according to several hospital characteristics. This preliminary investigation of social media adoption and utilization among US hospitals provides the framework for future studies investigating the effect of social media on patient outcomes, including links between social media use and the quality of hospital care and services

Neutrino mass matrix with U(2) flavor symmetry and neutrino oscillations

The three neutrino mass matrices in the $SU(5)\times U(2)$ model are studied focusing on the neutrino oscillation experiments. The atmospheric neutrino anomaly could be explained by the large $\nu_{\mu} - \nu_{\tau}$ oscillation. The long baseline experiments are expected to detect signatures of the neutrino oscillation even if the atmospheric neutrino anomaly is not due to the neutrino oscillation. However, the model cannot solve the solar neutrino deficit while it could be reconciled with the LSND data.Comment: 12 pages, LaTex file, to be published in PR

Oxidative costs of reproduction in mouse strains selected for different levels of food intake and which differ in reproductive performance

We are grateful to the animal house staff for their care of the animals. This work was supported in part by the US National Institute of Health grants R01AG043972 to J.R.S. and D.B.A. and P30AG050886 and P30DK056336 to D.B.A. The opinions expressed are those of the authors and do not necessarily represent those of the N.I.H. or any other organization. A.H.A.J. was supported by an Iraqi government student scholarship.Peer reviewedPublisher PD

Anomalous Microwave Emission from the HII region RCW175

We present evidence for anomalous microwave emission in the RCW175 \hii region. Motivated by 33 GHz 13\arcmin resolution data from the Very Small Array (VSA), we observed RCW175 at 31 GHz with the Cosmic Background Imager (CBI) at a resolution of 4\arcmin. The region consists of two distinct components, G29.0-0.6 and G29.1-0.7, which are detected at high signal-to-noise ratio. The integrated flux density is $5.97\pm0.30$ Jy at 31 GHz, in good agreement with the VSA. The 31 GHz flux density is $3.28\pm0.38$ Jy ($8.6\sigma$) above the expected value from optically thin free-free emission based on lower frequency radio data and thermal dust constrained by IRAS and WMAP data. Conventional emission mechanisms such as optically thick emission from ultracompact \hii regions cannot easily account for this excess. We interpret the excess as evidence for electric dipole emission from small spinning dust grains, which does provide an adequate fit to the data.Comment: 5 pages, 2 figures, submmited to ApJ Letter