Contraceptive Education in South Carolina Women\u27s Jails

Women in jail, which is currently a growing population, are at risk of unplanned pregnancy due to their potential exposure to alcohol and drug use, history of living in an abusive environment, and potential practice of prostitution(Clarke et al., 2012; Clarke et al., 2006; Kelly, 2012). The majority of female inmates are between the ages of 17-30, the peak reproductive age, which increases the importance of jails providing education to improve inmates’ reproductive health (Hale et al., 2009). Many females arrested will be released from jail back into society, making jails an opportune place to provide information to improve the knowledge of incarcerated females about reproductive healthcare so they are better equipped to make personal reproductive choices upon release from jail (Larochelle et al., 2012). The goal of this project was to create an educational curriculum that can be used in jails to educate women about contraception. A survey was developed and administered to female inmates at the Alvin S. Glenn Detention Center in Columbia, South Carolina to shape the curriculum’s information to better meet the needs and desires of these women. The topics that were selected as most helpful to learn about include “Where and how to access birth control” and “Different types of birth control.” Based on the survey responses, the curriculum focuses on the methods of contraception, the location of low/no-cost clinics, and online resources about birth control and Medicaid, so they are better prepared to access contraception upon their release from jail, if they desire

Math Pathways Reforms in Maine

For the past several years, attention has turned toward reviewing and reframing the curricular pathways in math for students, particularly at the postsecondary level. Focus has shifted not only to math preparedness, but also to redefining the curricular pathways that lead to academic and career success. In higher education, the central principle involves redefining and reorganizing coursework around defined pathways, based on academic and career interests of students. For K-12 institutions, the math pathways reforms have less clear implications. One key organization working in this area--both nationally and in Maine--is the Dana Center at the University of Texas at Austin. The Dana Center has been partnering with the Maine Community College System (MCCS) for several years now, and has supported their progress toward implementing math pathways reforms. For this project, Maine Education Policy Research Institute (MEPRI) researchers in the Center for Education Policy, Applied Research, and Evaluation (CEPARE) were asked to describe and summarize the mathematics pathways movement which is currently underway in the state of Maine, as well as in other states across the country. This study of the math pathways movement is designed as a mini-case study to document the status of the reform in progress. Findings review math pathways as a potential means of promoting individualized student learning and career readiness, of clarifying math expectations, and of reducing the need for remedial coursework at the post-secondary level. The successes of and challenges facing individual institutions--from MCCS, to the state universities, to K-12 institutions--are also reviewed. Other challenges, including mitigating issues with tracking and ownership of the reforms, are discussed. The report concludes with recommendations for policymakers

Supervisor Cultural Responsiveness and Unresponsiveness in Cross-Cultural Supervision

Thirteen supervisees’ of color and 13 European American supervisees’ experiences of culturally responsive and unresponsive cross-cultural supervision were studied using consensual qualitative research. In culturally responsive supervision, all supervisees felt supported for exploring cultural issues, which positively affected the supervisee, the supervision relationship, and client outcomes. In culturally unresponsive supervision, cultural issues were ignored, actively discounted, or dismissed by supervisors, which negatively affected the supervisee, the relationship, and/or client outcomes. European American supervisees’ and supervisees’ of color experiences diverged significantly, with supervisees of color experiencing unresponsiveness more frequently and with more negative effects than European American supervisees. Implications for research and supervision practice are discussed

Predicting clinical diagnosis in Huntington's disease: An imaging polymarker.

OBJECTIVE: Huntington's disease (HD) gene carriers can be identified before clinical diagnosis; however, statistical models for predicting when overt motor symptoms will manifest are too imprecise to be useful at the level of the individual. Perfecting this prediction is integral to the search for disease modifying therapies. This study aimed to identify an imaging marker capable of reliably predicting real-life clinical diagnosis in HD. METHOD: A multivariate machine learning approach was applied to resting-state and structural magnetic resonance imaging scans from 19 premanifest HD gene carriers (preHD, 8 of whom developed clinical disease in the 5 years postscanning) and 21 healthy controls. A classification model was developed using cross-group comparisons between preHD and controls, and within the preHD group in relation to "estimated" and "actual" proximity to disease onset. Imaging measures were modeled individually, and combined, and permutation modeling robustly tested classification accuracy. RESULTS: Classification performance for preHDs versus controls was greatest when all measures were combined. The resulting polymarker predicted converters with high accuracy, including those who were not expected to manifest in that time scale based on the currently adopted statistical models. INTERPRETATION: We propose that a holistic multivariate machine learning treatment of brain abnormalities in the premanifest phase can be used to accurately identify those patients within 5 years of developing motor features of HD, with implications for prognostication and preclinical trials. Ann Neurol 2018;83:532-543.SLM is funded by a National Institute for Health Research (NIHR) Translational Research Collaboration for Rare Diseases fellowship. This research has been funded/supported by the National Institute for Health Research Rare Diseases Translational Research Collaboration (NIHR RD-TRC). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. RAB is funded by the NIHR Cambridge Biomedical Research Centre and the Cambridge University NHS Foundation Trust. RED is employed on an EC Marie-Curie CIG, awarded to AH, SJT, EJ and RS receive funding from a Wellcome Collaborative Award (200181/Z/15/Z

One Health proof of concept: Bringing a transdisciplinary approach to surveillance for zoonotic viruses at the human-wild animal interface.

As the world continues to react and respond inefficiently to emerging infectious diseases, such as Middle Eastern Respiratory Syndrome and the Ebola and Zika viruses, a growing transdisciplinary community has called for a more proactive and holistic approach to prevention and preparedness - One Health. Such an approach presents important opportunities to reduce the impact of disease emergence events and also to mitigate future emergence through improved cross-sectoral coordination. In an attempt to provide proof of concept of the utility of the One Health approach, the US Agency for International Development's PREDICT project consortium designed and implemented a targeted, risk-based surveillance strategy based not on humans as sentinels of disease but on detecting viruses early, at their source, where intervention strategies can be implemented before there is opportunity for spillover and spread in people or food animals. Here, we share One Health approaches used by consortium members to illustrate the potential for successful One Health outcomes that can be achieved through collaborative, transdisciplinary partnerships. PREDICT's collaboration with partners around the world on strengthening local capacity to detect hundreds of viruses in wild animals, coupled with a series of cutting-edge virological and analytical activities, have significantly improved our baseline knowledge on the zoonotic pool of viruses and the risk of exposure to people. Further testament to the success of the project's One Health approach and the work of its team of dedicated One Health professionals are the resulting 90 peer-reviewed, scientific publications in under 5 years that improve our understanding of zoonoses and the factors influencing their emergence. The findings are assisting in global health improvements, including surveillance science, diagnostic technologies, understanding of viral evolution, and ecological driver identification. Through its One Health leadership and multi-disciplinary partnerships, PREDICT has forged new networks of professionals from the human, animal, and environmental health sectors to promote global health, improving our understanding of viral disease spillover from wildlife and implementing strategies for preventing and controlling emerging disease threats

Seasonality and immunity to laboratory-confirmed seasonal coronaviruses (HCoV-NL63, HCoV-OC43, and HCoV-229E): results from the Flu Watch cohort study

Background: There is currently a pandemic caused by the novel coronavirus SARS-CoV-2. The intensity and duration of this first wave in the UK may be dependent on whether SARS-CoV-2 transmits more effectively in the winter than the summer and the UK Government response is partially built upon the assumption that those infected will develop immunity to reinfection in the short term. In this paper we examine evidence for seasonality and immunity to laboratory-confirmed seasonal coronavirus (HCoV) from a prospective cohort study in England. Methods: In this analysis of the Flu Watch cohort, we examine seasonal trends for PCR-confirmed coronavirus infections (HCoV-NL63, HCoV-OC43, and HCoV-229E) in all participants during winter seasons (2006-2007, 2007-2008, 2008-2009) and during the first wave of the 2009 H1N1 influenza pandemic (May-Sep 2009). We also included data from the pandemic and �post-pandemic� winter seasons (2009-2010 and 2010-2011) to identify individuals with two confirmed HCoV infections and examine evidence for immunity against homologous reinfection. Results: We tested 1,104 swabs taken during respiratory illness and detected HCoV in 199 during the first four seasons. The rate of confirmed HCoV infection across all seasons was 390 (95% CI 338-448) per 100,000 person-weeks; highest in the Nov-Mar 2008/9 season at 674 (95%CI 537-835). The highest rate was in February at 759 (95% CI 580-975). Data collected during May-Sep 2009 showed there was small amounts of ongoing transmission, with four cases detected during this period. Eight participants had two confirmed infections, of which none had the same strain twice. Conclusion: Our results provide evidence that HCoV infection in England is most intense in winter, but that there is a small amount of ongoing transmission during summer periods. We found some evidence of immunity against homologous reinfection.</ns3:p

Efficacy of infant simulator programmes to prevent teenage pregnancy: a school-based cluster randomised trial in Western Australia

Background: Infant simulator-based programmes seek to prevent teenage pregnancy. They are utilised in western and developing countries but, despite growing popularity, there is no published evidence of their long-term impact. The aim of this trial was to investigate the effect of such a programme, the Virtual Infant Parenting (VIP) Programme, on the pregnancy outcomes of birth and induced abortion. Methods: Fifty-seven of 66 eligible schools (86%) in Perth, Western Australia enrolled in the pragmatic clustered (by school) randomised trial (ISRCTN24952438) with even randomisation to the intervention and control groups. Between 2003 and 2006, the VIP programme was administered to 1,267 girls in the intervention schools, while 1,567 girls in the control schools received the standard health education curriculum. Participants were aged 13-15 years and were followed until age 20 via data linkage to hospital medical and abortion clinic records. Log binomial and Cox proportional hazards regression was used to test for differences in pregnancy rates between study groups. Findings: Compared to girls Findings: Compared to girls in the control group, a higher proportion of girls in the intervention group recorded at least one birth (7.6%, n=97; 4·3%, n=67) or at least one abortion as the first pregnancy event (8.9%, n=113; 6.4%, n=101). After adjustment for potential confounding, the intervention group had a higher overall pregnancy risk (RR = 1·36, 95% CI 1.10–1·67, p=0.003) compared to the control group. Similar results were obtained using proportional hazard models (HR = 1.35, 95% CI 1.10–1·67, p=0·016). Interpretation: The infant-simulator based VIP Programme did not achieve its aim of reducing teenage pregnancy. Girls in the intervention group were more likely to experience a birth or an induced abortion than those in the control group before turning 20 years of age. Funding: The Health Promotion Research Foundation of Western Australia (Healthway), Lotteries WA, the Western Australian Department of Education and Training and the Western Australian Department of Health

Genetic analysis localizes a novel locus on chromosome 4q for the glaucoma endophenotype, cup-to-disc ratio: The Jiri Eye Study

Purpose: Glaucoma is a heterogeneous disease influenced by genetic risk factors. However, not all genetic risk factors have been identified. The aim of this project is to localize genetic factors influencing known glaucoma endophenotypes: intraocular pressure (IOP), central corneal thickness (CCT), and vertical cup-to-disc ratio (VCDR). Methods: This family-based study design utilizes phenotypic and genomic data from a single well-characterized pedigree residing in the Jiri region of Nepal. Measures of IOP, CCT and VCDR were obtained by Goldmann applanation tonometry, OCT, and slit lamp biomicroscopy, respectively. Using a genome-wide genotype data set (~550,000 SNPs), we performed a genome-wide linkage scan for IOP, CCT, and VCDR adopting a quantitative approach in SOLAR. For localized quantitative trait locus (QTL) signals, we screened all SNPs within the 1-LOD (95% confidence) interval using the classical measured genotype approach to association analysis and allowing for non-independence amongst the pedigree members. Results: For this study, phenotypic and genotype data from 1,163 (55% female) members of the Jirel population were available. The mean age of the sample is 43.8 (SD=15.7) years. IOP (h2=19%, p=6.1×10-5), CCT (h2=57%, p=1.6×10-26), and VCDR (h2=48%, p=9.7×10-22) were significantly heritable. We localized a significant QTL for VCDR on chromosome 4 (LOD=3.05 at 86.83 Mb). The top association signal within this QTL was for an intronic SNP (rs4148155; p=2.01×10-6, b=0.24) in the ABCG2 (ATP binding cassette subfamily G member 2) gene, which satisfied our QTL-specific Bonferroni-corrected significance criterion (p\u3c6.59×10-5). ABCG2 is a known stem cell marker, which is positively expressed in clonal human trabecular meshwork stem cells. Another positional candidate gene of note is SCD5 (Stearoyl-CoA desaturase 5), which is shown to suppress neurite outgrowth, a marker of neuronal differentiation. SCD5 is of significant interest given that expression of myocilin (MYOC) also inhibits neurite outgrowth. Conclusions: To our knowledge, the VCDR QTL on chromosome 4 is a novel locus and does not overlap with other glaucoma endophenotypes or glaucoma disease status. These results highlight the importance of continued evaluation of genetic factors influencing glaucoma endophenotypes in under-studied populations, such as the Jirels, as new information may be elucidated

Pterodactyl: Trade Study for an Integrated Control System Design of a Mechanically Deployable Entry Vehicle

This paper presents the trade study method used to evaluate and downselect from a set of guidance and control (G&C) system designs for a mechanically Deployable Entry Vehicle (DEV). The Pterodactyl project was prompted by the challenge to develop an effective G&C system for a vehicle without a backshell, which is the case for DEVs. For the DEV, the project assumed a specific aeroshell geometry pertaining to an Adaptable, Deployable Entry and Placement Technology (ADEPT) vehicle, which was successfully developed by NASAs Space Technology Mission Directorate (STMD) prior to this study. The Pterodactyl project designed three different entry G&C systems for precision targeting. This paper details the Figures of Merit (FOMs) and metrics used during the course of the projects G&C system assessment. The relative importance of the FOMs was determined from the Analytic Hierarchy Process (AHP), which was used to develop weights that were combined with quantitative design metrics and engineering judgement to rank the G&C systems against one another. This systematic method takes into consideration the projects input while simultaneously reducing unintentional judgement bias and ultimately was used to select a single G&C design for the project to pursue in the next design phase