Peripartum cardiomyopathy: diagnosis and management

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Putting a Face on Sans-Papiers Youth: Issues of Representation in Children's Literature

In France and around the world, immigrants have always been seen as the “other”, a faceless, nameless, and powerless people. With the implementation of strict immigration policies, illegal immigrants in particular are constantly in hiding and have consequently fallen even deeper into the “other”. The children of sans-papiers are perhaps the most vulnerable section of this population because of their inability to tell their own story or speak out. Sans-papiers children live a practically invisible existence in order to protect themselves and their families from being deported and sent back to countries with which the children, more often than not, have no ties. Because sans-papiers youth are unable to represent themselves, the rest of society interacts with this population through media, the works of activist organizations, and literature.Bachelor of Art

Evaluation of Effects of Value Addition in Sweet Potatoes on Farm Income in Homa Bay County, Kenya

Sweet potato value addition has become an increasingly important aspect in improving the diversification in its production and expanding the unexploited market amongst consumers. Homa Bay County is among the leading areas of production in Kenya due to its favorable land conditions and rainfall patterns that enables sweet potato to thrive well in the region. Value addition has been introduced in the County mainly by Non-Governmental organizations that work together with the public sector. However some small scale farmers do not practice value addition, partially because little has been done empirically to measure the impact that value addition has on farm income. This study focused on filling in this gap in the existing knowledge on sweet potato value addition. The study was conducted in Homa Bay County and the study sites selected included three sub counties namely Kasipul, Kabondo Kasipul and Ndhiwa. Multi stage sampling technique was used in selecting the study sites and the required sample size determined by proportionate to size sampling method. Interview schedules and observation were used to collect primary data. Multiple regressions were used to analyze the effect of different value addition activities on Income received solely from sweet potatoes. In addition marginal effects were obtained to analyze the effect of each independent variable separately on income. Findings revealed that the more value a farmer added to raw tuber, the better the income obtained from the market. In addition, farmer marketing groups had a stronger bargaining power in the market compared to farmers selling individually. The study therefore recommended that the County government should work closely with the non-governmental organizations to enlighten farmers on the importance of forming farmer groups since most training on value addition, information on prices and market opportunities can be easily disseminated through farmer groups .It is through these trainings that farmers would be able to make rational decisions with regard to production and adding value to get higher incomes. Keywords: Value Addition techniques, Smallholder farmer, Farm income.

NovaNET\u27s Effect on the Reading Achievement of At-Risk Middle School Students

At-risk and special education students in the 7th and 8th grades in a rural middle school in western Alabama, in the years following the introduction of the No Child Left Behind federal legislation in 2002, failed to achieve adequate yearly progress in reading. School districts are increasingly implementing flexible computer-based intervention programs to improve their students\u27 reading achievement. Using a between-group design, the purpose of this study was to determine whether NovaNET, a newly adopted reading intervention program, enhanced the reading attainment of at-risk and special education students. Guided by constructivist theory, archived reading achievement data from the 2009-2013 Alabama Reading and Mathematics Test were analyzed for 3 consecutive cohorts of special education and at-risk students who did (n = 76) or did not (n = 73) participate in the NovaNET program. With dependent variables of reading achievement at the end of 7th and 8th grade, with independent variables of experimental-control group, gender, and general-special education status, and a covariate of reading achievement at the end of 6th grade, a multivariate analysis of covariance indicated a significant main effect associated with participation in the program (F = 4.13, df = 2, p \u3c .02), whereas significant higher-order interaction effects pointed to differential program benefits for specific subgroups of students. Although overall effect sizes were small to modest, the results indicated that NovaNET can increase educational attainment for at-risk and special education students who are struggling with reading. This study may contribute to positive social change by providing educators with scientific data about a flexible, technology-enhanced program to promote reading instruction and achievement for at-risk general education and special-education students entering middle school

Using a high-dimensional model of semantic space to predict neural activity

This dissertation research developed the GOLD model (Graph Of Language Distribution), a graph-structured semantic space model constructed based on co-occurrence in a large corpus of natural language, with the intent that it may be used to explore what information may be present about relationships between words in such a model and the degree to which this information may be used to predict brain responses and behavior in language tasks. The present study employed GOLD to examine genera relatedness as well as two specific types of relationship between words: semantic similarity, which refers to the degree of overlap in meaning between words, and associative relatedness, which refers to the degree to which two words occur in the same schematic context. It was hypothesized that this graph-structured model of language constructed based on co-occurrence should easily capture associative relatedness, because this type of relationship is thought to be present directly in lexical co-occurrence. Additionally, it was hypothesized that semantic similarity may be extracted from the intersection of the set of first-order connections, because two words that are semantically similar may occupy similar thematic or syntactic roles across contexts and thus would co-occur lexically with the same set of nodes. Based on these hypotheses, a set of relationship metrics were extracted from the GOLD model, and machine learning techniques were used to explore predictive properties of these metrics. GOLD successfully predicted behavioral data as well as neural activity in response to words with varying relationships, and its predictions outperformed those of certain competing models. These results suggest that a single-mechanism account of learning word meaning from context may suffice to account for a variety of relationships between words. Further benefits of graph models of language are discussed, including their transparent record of language experience, easy interpretability, and increased psychologically plausibility over models that perform complex transformations of meaning representation

Fostering the Fourth Industrial Revolution Technologies for Youth and Women Empowerment

The fourth industrial revolution presents society with significant opportunities to incorporate emerging creative and technology innovations and strategies for youth and women empowerment. This paper uses content analysis in 1) identifying the fourth industrial revolution technologies available for youth and women's empowerment 2) exploring the capacity of 4IR technologies for empowering youth and women 3) investigating the difficulties faced by young and women in using these (4IR) technologies 4) exploring approaches that may encourage the use of these (4IR) innovations by young people and women. An analysis of the literature was carried out and included reports, scholarly journal articles, and conference proceedings. The keywords used were the Fourth Industrial Revolution, Youth, and women. The study concludes that the fourth industrial revolution promotes social change, improves service accessibility, improving global income levels, promoting the standard of living for youth and women, and enhancing the equitable digital economy Keywords: Fourth Industrial Revolution; Technologies; Youth and Women Empowerment DOI: 10.7176/JIEA/11-1-05 Publication date: February 28th 2021

Manipulating Contextual Control Over Simulated Slot Machine Gambling

Situational or contextual factors involved in slot machine gambling, such as colors, are assumed to play an important role in initiating and maintaining gambling. However, there is little empirical evidence for this assumption. The present study sought to investigate the effects of manipulating two contextual factors (the background colors of computer-simulated slot machines) on participants‟ responding to two concurrently available slot machines. Following a pretest, a nonarbitrary relational training and testing procedure was used to establish contextual functions of MORE-THAN and LESS-THAN for two cues. During posttest, participants allocated the majority of their responses to the slot machine that shared nonarbitrary properties with the contextual cue for MORE-THAN, despite the identical payout probabilities of the slot machines. Overall, the present findings demonstrate that participants‟ preferences for one of two concurrently available slot machines may come under contextual control. The advantages of the present approach to investigating the role played by situational factors such as colors in maintaining slot machine gambling are discussed