Participation in Self-Collection of Maternal and Infant DNA in a Case-Control Study on Clubfoot

National Institute of Child Health and Human Development (HD051804

Environmental and infectious risk factors for gastroschisis

Thesis (Ph.D.)--Boston UniversityGastroschisis is a rare congenital malformation where loops of bowel are protruding from the abdominal wall of an infant. The prevalence of gastroschisis has been increasing over the past 20 years, particularly in younger women. However, as the number of studies on gastroschisis increases each year, it continues to remain unclear why the prevalence is increasing and why it disproportionately affects younger mothers. Previous research has suggested that environmental or infectious factors may be involved in the pathogenesis of gastroschisis. This dissertation aims to explore the possibility of these two factors in relation to gastroschisis. In study 1, clusters of gastroschisis were identified in space or the combination of space and time. Cases and controls came from the National Birth Defects Study (NBDPS) or for some study centers from the birth defects surveillance systems. Generalized additive models were used to create a continuous map surface of odds ratios (OR) by smoothing over latitude and longitude. Data from the NBDPS were used for the Arkansas, California, and Utah study centers and the highest adjusted ORs detected were 2.0, 1.3, and 2.4, respectively. In Massachusetts and Texas, where surveillance data were used, the highest adjusted ORs observed were 2.4 and 1.3, respectively, with only the latter state achieving statistical significance. Texas had sufficient data to assess the combination of space and time, which identified an increased risk (OR=2.9) in the center of Texas in 2003. The results of this study suggest that clusters of gastroschisis may exist and further exploration of environmental or behavioral factors are warranted. [TRUNCATED

Economic Policy Uncertainty: A Review on Applications and Measurement Methods with Focus on Text Mining Methods

Economic Policy Uncertainty (EPU) represents the uncertainty realized by the investors during economic policy alterations. EPU is a critical indicator in economic studies to predict future investments, the unemployment rate, and recessions. EPU values can be estimated based on financial parameters directly or implied uncertainty indirectly using the text mining methods. Although EPU is a well-studied topic within the economy, the methods utilized to measure it are understudied. In this article, we define the EPU briefly and review the methods used to measure the EPU, and survey the areas influenced by the changes in EPU level. We divide the EPU measurement methods into three major groups with respect to their input data. Examples of each group of methods are enlisted, and the pros and cons of the groups are discussed. Among the EPU measures, text mining-based ones are dominantly studied. These methods measure the realized uncertainty by taking into account the uncertainty represented in the news and publicly available sources of financial information. Finally, we survey the research areas that rely on measuring the EPU index with the hope that studying the impacts of uncertainty would attract further attention of researchers from various research fields. In addition, we propose a list of future research approaches focusing on measuring EPU using textual material.Comment: JEL Classification: C53, C38, A13, O38, H5

Comparison Between Normals and Mentally Retarded on Postural Deviations in the Spinal Column

Health, Physical Education, and Recreatio

Generality Versus Specificity in Motor Performance of Educable and Trainable Mentally Retardates

Higher Educatio

Coming Out of Concrete Closets: A Report on Black and Pink's National LGBTQ Prisoner Survey

This report lifts up the voices of LGBTQ prisoners from across the United States so that they can inform, shape, and lead the movement for prisoner justice. These numbers, statistics, and stories represent the largest ever collection of information from LGBTQ prisoners. This collection of information is possible because of the time taken by 1,118 prisoners across the United States to handwrite responses to our 133-question survey, which was itself designed/drafted with prisoners themselves. Black & Pink's free world leadership extends the utmost thanks to prisoner members who took the time to help design and respond to the National LGBTQ Prisoner Survey and for sharing their deeply personal and valuable stories of harm and resilience. This report will be printed in the Black & Pink newspaper for all prisoner members to read. Along with the report, there will be space for responses and reflections that will be compiled into a supplementary report to be released in Spring/Summer of 2016.LGBTQ people, particularly people of color and poor people, experience high levels of policing and criminalization, leading to arrest and incarceration. Once inside prison, LGBTQ people are subjected to constant violence by both prison staff and other prisoners. This report seeks to offer a tool for organizers, both inside and outside of prisons, to strengthen national campaigns and grassroots efforts to alleviate the immediate suffering of prisoners and bring an end to the prison industrial complex while centering the needs of LGBTQ prisoners

Iterative Nearest Neighborhood Oversampling in Semisupervised Learning from Imbalanced Data

Transductive graph-based semi-supervised learning methods usually build an undirected graph utilizing both labeled and unlabeled samples as vertices. Those methods propagate label information of labeled samples to neighbors through their edges in order to get the predicted labels of unlabeled samples. Most popular semi-supervised learning approaches are sensitive to initial label distribution happened in imbalanced labeled datasets. The class boundary will be severely skewed by the majority classes in an imbalanced classification. In this paper, we proposed a simple and effective approach to alleviate the unfavorable influence of imbalance problem by iteratively selecting a few unlabeled samples and adding them into the minority classes to form a balanced labeled dataset for the learning methods afterwards. The experiments on UCI datasets and MNIST handwritten digits dataset showed that the proposed approach outperforms other existing state-of-art methods

Variation of Biophysical Parameters of the Skin with Age, Gender, and Body Region

Background. Understanding the physiological, chemical, and biophysical characteristics of the skin helps us to arrange a proper approach to the management of skin diseases. Objective. The aim of this study was to measure 6 biophysical characteristics of normal skin (sebum content, hydration, transepidermal water loss (TEWL), erythema index, melanin index, and elasticity) in a normal population and assess the effect of sex, age, and body location on them. Methods. Fifty healthy volunteers in 5 age groups (5 males and females in each) were enrolled in this study. A multifunctional skin physiology monitor (Courage & Khazaka electronic GmbH, Germany) was used to measure skin sebum content, hydration, TEWL, erythema index, melanin index, and elasticity in 8 different locations of the body. Results. There were significant differences between the hydration, melanin index, and elasticity of different age groups. Regarding the locations, forehead had the highest melanin index, where as palm had the lowest value. The mean values of erythema index and melanin index and TEWL were significantly higher in males and anatomic location was a significant independent factor for all of 6 measured parameters. Conclusion. Several biophysical properties of the skin vary among different gender, age groups, and body locations

Risks of nonchromosomal birth defects, small-for-gestational age birthweight, and prematurity with in vitro fertilization: effect of number of embryos transferred and plurality at conception versus at birth

PURPOSE: Excess embryos transferred (ET) (> plurality at birth) and fetal heartbeats (FHB) at 6 weeks' gestation are associated with reductions in birthweight and gestation, but prior studies have been limited by small sample sizes and limited IVF data. This analysis evaluated associations between excess ET, excess FHB, and adverse perinatal outcomes, including the risk of nonchromosomal birth defects. METHODS: Live births conceived via IVF from Massachusetts, New York, North Carolina, and Texas included 138,435 children born 2004-2013 (Texas), 2004-2016 (Massachusetts and North Carolina), and 2004-2017 (New York) were classified by ET and FHB. Major birth defects were reported by statewide registries within the first year of life. Logistic regression was used to estimate adjusted odds ratios (AORs) and 95% CIs of the risks of a major nonchromosomal birth defect, small-for-gestational age birthweight (SGA), low birthweight (LBW), and preterm birth (≤36 weeks), by excess ET, and excess ET + excess FHB, by plurality at birth (singletons and twins). RESULTS: In singletons with [2 ET, FHB =1] and [≥3 ET, FHB=1], risks [AOR (95% CI)] were increased, respectively, for major nonchromosomal birth defects [1.13 (1.00-1.27) and 1.18 (1.00-1.38)], SGA [1.10 (1.03-1.17) and 1.15 (1.05-1.26)], LBW [1.09 (1.02-1.13) and 1.17 (1.07-1.27)], and preterm birth [1.06 (1.00-1.12) and 1.14 (1.06-1.23)]. With excess ET + excess FHB, risks of all adverse outcomes except major nonchromosomal birth defects increased further for both singletons and twins. CONCLUSION: Excess embryos transferred are associated with increased risks for nonchromosomal birth defects, reduced birthweight, and prematurity in IVF-conceived births

Associations between PM2.5 and risk of preterm birth among liveborn infants

Purpose: Studies suggest exposure to ambient particulate matter less than 2.5 μg/m3 in aerodynamic diameter (PM2.5) may be associated with preterm birth (PTB), but few have evaluated how this is modified by ambient temperature. We investigated the relationship between PM2.5 exposure during pregnancy and PTB in infants without birth defects (1999–2006) and enrolled in the National Birth Defects Prevention Study and how it is modified by concurrent temperature. Methods: PTB was defined as spontaneous or iatrogenic delivery before 37 weeks. Exposure was assigned using inverse distance weighting with up to four monitors within 50 kilometers of maternal residence. To account for state-level variations, a Bayesian two-level hierarchal model was developed. Results: PTB was associated with PM2.5 during the third and fourth months of pregnancy (range: (odds ratio (95% confidence interval) = 1.00 (0.35, 2.15) to 1.49 (0.82, 2.68) and 1.31 (0.56, 2.91) to 1.62 (0.7, 3.32), respectively); no week of exposure conveyed greater risk. Temperature may modify this relationship; higher local average temperatures during pregnancy yielded stronger positive relationships between PM2.5 and PTB compared to nonstratified results. Conclusions: Results add to literature on associations between PM2.5 and PTB, underscoring the importance of considering co-exposures when estimating effects of PM2.5 exposure during pregnancy