Age effects in first language attrition: speech perception by Korean-English bilinguals

This article has been awarded Open Materials and Open Data badges. All materials and data are publicly accessible via the Open Science Framework at https://osf.io/B2478 and at https://osf.io/G4C7Z. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki.This study investigated how bilinguals’ perception of their first language (L1) differs according to age of reduced contact with L1 after immersion in a second language (L2). Twenty-one L1 Korean-L2 English bilinguals in the United States, ranging in age of reduced contact from 3 to 15 years, and 17 control participants in Korea were tested perceptually on three L1 contrasts differing in similarity to L2 contrasts. Compared to control participants, bilinguals were less accurate on L1-specific contrasts, and their accuracy was significantly correlated with age of reduced contact, an effect most pronounced for the contrast most dissimilar to L2. These findings suggest that the earlier bilinguals are extensively exposed to L2, the less likely they are to perceive L1 sounds accurately. However, this relationship is modulated by crosslinguistic similarity, and a turning point in L2 acquisition and L1 attrition of phonology appears to occur at around age 12.This research was supported by funding from the Ph.D. Program in Second Language Acquisition at the University of Maryland. The funding source was not involved in the design of the study, in the collection, analysis, and interpretation of data, in the writing of the manuscript, or in the decision to submit the manuscript for publication. We thank Dr. Youngkyu Kim at Ewha Womans University for his substantial support and Ms. Irene Jieun Ahn (formerly at Ewha Womans University and currently at Michigan State University) for her help during data collection in Korea. (Ph.D. Program in Second Language Acquisition at the University of Maryland

The Effects of School Membership on Academic and Behavioral Performance of At-risk Students

The purpose of this study was to investigate the relationships between the perceptions of school membership, risk factors, and school outcomes among a sample of alternative school students. The study subjects were 48 7th-9th graders who were at high risk for school failure because of their serious and chronic behavioral and academic problems. All subjects had an Individualized Education Plan (IEP). A 25 item school membership questionnaire adapted from existing school membership surveys (Psychological Sense of School Membership (PSSM) Scale, Goodenow, 1993; Identification with School Questionnaire, Voelkl, 1996) was used to assess students' perceived school membership. The study participants reported a moderately positive school membership score of 3.63 (SD = .71) on a scale ranging from "1 = being weak" to "5 = being strong." The findings indicated that commonly known risk factors, such as being a male, minority, low SES, no participation in extracurricular activities, and a history of involvement with the juvenile justice system did not negatively affect study participants' perceptions of school membership. The relationships between students' school outcomes and the risk variables were also analyzed. The findings indicated that being a male, minority, low SES, no participation in extracurricular activities, and a history of involvement with the juvenile justice system did not result in significantly negative effects on school outcomes (GPA, number of missed school days, hours spent for in-school suspension, and days spent for out-of school suspension). Instead, academic and behavioral school outcome variables were found to be closely related with each other, and also with some demographic factors, including race/ethnicity and grade levels. The current study's findings provide implications for academic and behavioral interventions for at-risk students. More broad based research is needed to validate the current study findings. Recommendations for future studies include, first, bigger sample sizes and proportionate subject compositions across gender, race, SES, and grade levels; and lastly, investigations on educational environments and components that have direct impact on at-risk students school outcomes

Relationships between Risk Factors, Perceptions of School Membership and Academic and Behavioral Engagement of Students Who Attend an Alternative School for Behavioral and Emotional Challenges

The purpose of this study was to investigate the relationships between the perceptions of school membership, risk factors, and behavioral and academic engagement among a sample of alternative school students. The study subjects were 48 7th-9th graders who were at high risk for school failure because of their serious and chronic behavioral and academic problems. All subjects had an Individualized Education Plan (IEP). A 25 item school membership questionnaire adapted from existing school membership surveys was used to assess students’ perceived school membership. The study participants reported a moderately positive school membership score. The findings indicated that commonly known risk factors, such as being a male, minority, low SES, no participation in extracurricular activities, and a history of involvement with the juvenile justice system did not negatively affect study participants’ perceptions of school membership. The relationships between students’ school outcomes and the risk variables were also analyzed. The findings indicated that the above mentioned risk variables did not result in significantly negative effects on school outcomes (GPA, number of missed school days, hours spent for in-school suspension, and days spent for out-of school suspension). Instead, academic and behavioral school outcome variables were found to be closely related with each other, and also with some demographic factors, including race/ethnicity and grade levels. Implications for planning academic and behavioral interventions for students with emotional and behavioral challenges are discussed

The Human Against Itself: Posthumanism in Contemporary Novels

University of Minnesota Ph.D. dissertation. August 2015. Major: English. Advisor: Timothy Brennan. 1 computer file (PDF); iv, 207 pages.Even as Max Horkheimer and Theodor W. Adorno were appalled by the acts of human atrocities at the height of World War II, they maintained that the human is the means to emancipation and enlightenment. The subsequent reaction to the war, however, takes a different course by taking up the concept of the human as a troubling category. A discourse of anti-humanism that emerges in Europe immediately after the War, is one example, and the recent theories of posthumanism are another, which refurbish the anti-humanist philosophy by focusing on issues such as human relationships to nonhuman species and to the ever-evolving technosciences. Their premise and conclusion is the same—the concept of the human as autonomous and self-determining must be displaced, as such attributes are a fiction leading to human domination and violence. “The Human Against Itself: Posthumanism in Contemporary Novels” intervenes in this discourse, arguing that if as posthumanism implies humans are the very problem to be eliminated, no coherent ethics can be established, whose operation relies on humans as agents of its principles. The current renditions of posthumanism, however, withdraw their confidence from the human and misanthropically pit the human against itself, placing hope instead in the posthuman that is always yet to come. They posit that human problems can only be resolved by the human negating itself and announcing the death of its own subjectivity. In order to explore in detail the limits of these self-annihilating visions, I turn to novels by Margaret Atwood, Octavia E. Butler, and J. M. Coetzee, which engage with posthumanist themes by re-visioning the human: Atwood by constructing genetically enhanced “superhumans,” Butler by inter-species procreation, and Coetzee by “animalizing” the human. They write as though posthumanity has already arrived, but only to reveal knowingly and unknowingly the limits of posthuman existence. In the process, the novels leave room for the possibility of critical humanism by affirming the human’s self-reflexive capacity to rethink, undo, and reconstruct itself. At a time when the very concept of the human has fallen into disfavor, the novels prompt the readers to imagine a world that does not abandon the human and the legacy of emancipatory and resistant humanism

The role of remixing for innovation in online innovation communities

Potentially innovative ideas are being generated, shared, and even remixed (recombined) in the online innovation communities. These ideas create new innovations through remixing of ideas. In this study, we investigate how remixing makes ideas more innovative in online innovation communities. Our model is validated through ordinary least squares regression on a secondary dataset of 57,049 ideas collected from one of the largest 3D printing online innovation communities, Thingiverse.com. The result shows that the number of prior ideas has an inverted U-shaped relationship with the idea\u27s degree of innovation and the cross-boundary remix has a positive effect on the idea’s degree of innovation

Influencing Factors of Sexual Intimacy and Satisfaction among Women within 1 Year after Mastectomy

PURPOSE: The purpose of this study was to identify the levels of body image, sexual intimacy, and sexual satisfaction, and to explore factors affecting sexual intimacy and satisfaction among women within one year of mastectomy. METHODS: The present study was a cross-sectional survey and involved 101 women who had undergone mastectomy at a University hospital of D city, Korea. Measurement included the scales of body image, sexual intimacy, and sexual satisfaction. RESULTS: Mean age of the subjects was 51 years. Scores of the body image, sexual intimacy, and sexual satisfaction were 59.62, 90.69, and 69.04, respectively. Body image, sexual intimacy, and sexual satisfaction were significantly related to each other. Sexual intimacy was higher when women were of young age (β=−.32), had a shorter period since surgery (β=−.24), and with higher levels of body image (β=.37). Sexual satisfaction was higher when women had higher levels of body image (β=.19) and greater levels of sexual intimacy (β=.74). CONCLUSION: Higher levels of body image and greater levels of sexual intimacy were identified as the significant factors influencing sexual satisfaction among these women. Future research with a mixed-method research is needed to gain a deep understanding of the sexuality between women and their husbands

Emotion word development in bilingual children living in majority and minority contexts

The lexicon of emotion words is fundamental to interpersonal communication. To examine how emotion word acquisition interacts with societal context, the present study investigated emotion word development in three groups of child Korean users aged 4–13 years: those who use Korean primarily outside the home as a majority language (MajKCs) or inside the home as a minority language (MinKCs), and those who use Korean both inside and outside the home (KCs). These groups, along with a group of L1 Korean adults, rated the emotional valence of 61 Korean emotion words varying in frequency, valence, and age of acquisition. Results showed KCs, MajKCs, and MinKCs all converging toward adult-like valence ratings by ages 11–13 years; unlike KCs and MajKCs, however, MinKCs did not show age-graded development and continued to diverge from adults in emotion word knowledge by these later ages. These findings support the view that societal context plays a major role in emotion word development, offering one reason for the intergenerational communication difficulties reported by immigrant families.Accepted manuscrip

Patient-Specific Metrics of Invasiveness Reveal Significant Prognostic Benefit of Resection in a Predictable Subset of Gliomas

Object Malignant gliomas are incurable, primary brain neoplasms noted for their potential to extensively invade brain parenchyma. Current methods of clinical imaging do not elucidate the full extent of brain invasion, making it difficult to predict which, if any, patients are likely to benefit from gross total resection. Our goal was to apply a mathematical modeling approach to estimate the overall tumor invasiveness on a patient-by-patient basis and determine whether gross total resection would improve survival in patients with relatively less invasive gliomas. Methods In 243 patients presenting with contrast-enhancing gliomas, estimates of the relative invasiveness of each patient's tumor, in terms of the ratio of net proliferation rate of the glioma cells to their net dispersal rate, were derived by applying a patient-specific mathematical model to routine pretreatment MR imaging. The effect of varying degrees of extent of resection on overall survival was assessed for cohorts of patients grouped by tumor invasiveness. Results We demonstrate that patients with more diffuse tumors showed no survival benefit (P = 0.532) from gross total resection over subtotal/biopsy, while those with nodular (less diffuse) tumors showed a significant benefit (P = 0.00142) with a striking median survival benefit of over eight months compared to sub-totally resected tumors in the same cohort (an 80% improvement in survival time for GTR only seen for nodular tumors). Conclusions These results suggest that our patient-specific, model-based estimates of tumor invasiveness have clinical utility in surgical decision making. Quantification of relative invasiveness assessed from routinely obtained pre-operative imaging provides a practical predictor of the benefit of gross total resection

Synthesis and Characterization of a Multi-Walled Carbon Nanotube–Ionic Liquid/Polyaniline Adsorbent for a Solvent-Free In-Needle Microextraction Method

Sample preparation is an essential process when handling complex matrices. Extraction without using a solvent requires the direct transfer of analytes from the sample to the adsorbent either in the gas or liquid phase. In this study, a wire coated with a new adsorbent was fabricated for in-needle microextraction (INME) as a solvent-free sample extraction method. The wire inserted into the needle was placed in the headspace (HS), which was saturated with volatile organic compounds from the sample in a vial. A new adsorbent was synthesized via electrochemical polymerization by mixing aniline with multi-walled carbon nanotubes (MWCNTs) in the presence of an ionic liquid (IL). The newly synthesized adsorbent using IL is expected to achieve high thermal stability, good solvation properties, and high extraction efficiency. The characteristics of the electrochemically synthesized surfaces coated with MWCNT–IL/polyaniline (PANI) adsorbents were characterized using Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), thermogravimetric analysis (TGA), and atomic force microscopy (AFM). Then, the proposed HS–INME–MWCNT–IL/PANI method was optimized and validated. Accuracy and precision were evaluated by analyzing replicates of a real sample containing phthalates, showing spike recovery between 61.13% and 108.21% and relative standard deviations lower than 15%. The limit of detection and limit of quantification of the proposed method were computed using the IUPAC definition as 15.84~50.56 μg and 52.79~168.5 μg, respectively. We concluded that HS–INME using a wire coated with the MWCNT–IL/PANI adsorbent could be repeatedly used up to 150 times without degrading its extraction performance in an aqueous solution; it constitutes an eco-friendly and cost-effective extraction method

Iteratively Reweighted Group Lasso Based on Log-Composite Regularization

The paper considers supervised learning problems of labeled data with grouped input features. The groups are nonoverlapped such that the model coefficients corresponding to the input features form disjoint groups. The coefficients have group sparsity structure in the sense that coefficients corresponding to each group shall be simultaneously either zero or nonzero. To make effective use of such group sparsity structure given a priori, we introduce a novel log-composite regularizer, which can be minimized by an iterative algorithm. In particular, our algorithm iteratively solves for a traditional group least absolute shrinkage and selection operator (LASSO) problem that involves summing up the l(2) norm of each group until convergent. By updating group weights, our approach enforces a group of smaller coefficients from the previous iterate to be more likely to set to zero compared to the group LASSO. Theoretical results include a minimizing property of the proposed model as well as the convergence of the iterative algorithm to a stationary solution under mild conditions. We conduct extensive experiments on synthetic and real datasets, indicating that our method yields a performance that is superior to that of the state-of-the-art methods in linear regression and binary classification.11Nsciescopu