2,924 research outputs found

    How to Read Shakespeare while Duck-sitting in Outer Suburbia

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    'I originally wrote this as a Prologue to a series of three short stories that are part of my dissertation which looks at the cultural capital of reading in contemporary Perth.

    The cultural capital of reading in the early 21st Century: A creative and critical study

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    Advances in technology, as well as shifts in the socio-cultural landscape, have democratised and created new forms of reading so that today the term reading itself is contested. This creative-based thesis, examining how an individual’s socio-economic and education background shapes their reading identity and informs their reading practices, consists of two components: a small anthology of creative writing and a dissertation based on qualitative research. The stories in the anthology—including traditional and experimental short fiction and a dramatic script—represent the perspectives of an array of characters in diverse settings for whom reading, broadly defined, matters in different ways. In capturing the minutiae and nuance of everyday practices often taken for granted or difficult to capture in traditional scholarly writing, these creative pieces illustrate the tensions constituting the field of reading. Each piece, and the themes inspiring and embedded in the creative work, are those that emerged from the thesis’s critical component. The dissertation is a qualitative study based on semi-structured interviews conducted with 14 Western Australian teenagers. Using French sociologist Pierre Bourdieu’s theory of cultural capital as a point of departure, the study examines and reflects on the ways older teenagers in the final years of secondary school value various forms of reading in situated contexts. The study finds that reading practices are shaped largely in response to a participant’s home and school culture and the value of each practice is context-dependent; yet participants determined the legitimacy of these practices according to institutionally sanctioned notions about reading. Using rich descriptions and imaginative insights to explore how individual dispositions influence and challenge various practices, the thesis makes a combined critical and creative contribution to the existing body of work on reading as a socio-cultural practice

    The phosphoinositide 3-kinase-dependent activation of Btk is required for optimal eicosanoid production and generation of reactive oxygen species in antigen-stimulated mast cells

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    Activated mast cells are a major source of the eicosanoids PGD(2) and leukotriene C(4) (LTC(4)), which contribute to allergic responses. These eicosanoids are produced following the ERK1/2-dependent activation of cytosolic phospholipase A(2), thus liberating arachidonic acid, which is subsequently metabolized by the actions of 5-lipoxygenase and cyclooxygenase to form LTC(4) and PGD(2), respectively. These pathways also generate reactive oxygen species (ROS), which have been proposed to contribute to FcepsilonRI-mediated signaling in mast cells. In this study, we demonstrate that, in addition to ERK1/2-dependent pathways, ERK1/2-independent pathways also regulate FcepsilonRI-mediated eicosanoid and ROS production in mast cells. A role for the Tec kinase Btk in the ERK1/2-independent regulatory pathway was revealed by the significantly attenuated FcepsilonRI-dependent PGD(2), LTC(4), and ROS production in bone marrow-derived mast cells of Btk(-/-) mice. The FcepsilonRI-dependent activation of Btk and eicosanoid and ROS generation in bone marrow-derived mast cells and human mast cells were similarly blocked by the PI3K inhibitors, Wortmannin and LY294002, indicating that Btk-regulated eicosanoid and ROS production occurs downstream of PI3K. In contrast to ERK1/2, the PI3K/Btk pathway does not regulate cytosolic phospholipase A(2) phosphorylation but rather appears to regulate the generation of ROS, LTC(4), and PGD(2) by contributing to the necessary Ca(2+) signal for the production of these molecules. These data demonstrate that strategies to decrease mast cell production of ROS and eicosanoids would have to target both ERK1/2- and PI3K/Btk-dependent pathways

    Enumeration of Corners in Tree-like Tableaux

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    In this paper, we confirm conjectures of Laborde-Zubieta on the enumeration of corners in tree-like tableaux and in symmetric tree-like tableaux. In the process, we also enumerate corners in (type BB) permutation tableaux and (symmetric) alternative tableaux. The proof is based on Corteel and Nadeau's bijection between permutation tableaux and permutations. It allows us to interpret the number of corners as a statistic over permutations that is easier to count. The type BB case uses the bijection of Corteel and Kim between type BB permutation tableaux and signed permutations. Moreover, we give a bijection between corners and runs of size 1 in permutations, which gives an alternative proof of the enumeration of corners. Finally, we introduce conjectural polynomial analogues of these enumerations, and explain the implications on the PASEP.Comment: 26 pages, 11 figures. This is the final version for publicatio

    Data Quality Matters: Suicide Intention Detection on Social Media Posts Using a RoBERTa-CNN Model

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    Suicide remains a global health concern for the field of health, which urgently needs innovative approaches for early detection and intervention. In this paper, we focus on identifying suicidal intentions in SuicideWatch Reddit posts and present a novel approach to suicide detection using the cutting-edge RoBERTa-CNN model, a variant of RoBERTa (Robustly optimized BERT approach). RoBERTa is used for various Natural Language Processing (NLP) tasks, including text classification and sentiment analysis. The effectiveness of the RoBERTa lies in its ability to capture textual information and form semantic relationships within texts. By adding the Convolution Neural Network (CNN) layer to the original model, the RoBERTa enhances its ability to capture important patterns from heavy datasets. To evaluate the RoBERTa-CNN, we experimented on the Suicide and Depression Detection dataset and obtained solid results. For example, RoBERTa-CNN achieves 98% mean accuracy with the standard deviation (STD) of 0.0009. It also reaches over 97.5% mean AUC value with an STD of 0.0013. In the meanwhile, RoBERTa-CNN outperforms competitive methods, demonstrating the robustness and ability to capture nuanced linguistic patterns for suicidal intentions. Therefore, RoBERTa-CNN can detect suicide intention on text data very well.Comment: 4 pages, 1 figure, 4 table

    Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks

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    Although pervasive spread of misinformation on social media platforms has become a pressing challenge, existing platform interventions have shown limited success in curbing its dissemination. In this study, we propose a stance-aware graph neural network (stance-aware GNN) that leverages users’ stances to proactively predict misinformation spread. As different user stances can form unique echo chambers, we customize four information passing paths in stance-aware GNN, while the trainable attention weights provide explainability by highlighting each structure\u27s importance. Evaluated on a real-world dataset, stance-aware GNN outperforms benchmarks by 32.65% and exceeds advanced GNNs without user stance by over 4.69%. Furthermore, the attention weights indicate that users’ opposition stances have a higher impact on their neighbors’ behaviors than supportive ones, which function as social correction to halt misinformation propagation. Overall, our study provides an effective predictive model for platforms to combat misinformation, and highlights the impact of user stances in the misinformation propagation

    Method and Meaning: Selections from the Gettysburg College Collection

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    What is art historical study and how it should be carried out are fundamental questions the exhibition Method and Meaning: Selections from the Gettysburg College Collection intends to answer. This student-curated exhibition is an exciting academic endeavor of seven students of art history majors and minors in the Art History Methods course. The seven student curators are Shannon Callahan, Ashlie Cantele, Maura D’Amico, Xiyang Duan, Devin Garnick, Allison Gross and Emily Zbehlik. As part of the class assignment, this exhibition allows the students to explore various art history methods on individual case studies. The selection of the works in the exhibition reflects a wide array of student research interests including an example of 18th century Chinese jade chime stone, jade and bronze replicas of ancient Chinese bronze vessels, a piece of early 20th century Chinese porcelain, oil paintings by Pennsylvania Impressionist painter Fern Coppedge, prints by Salvador DalĂ­ and by German artist KĂ€the Kollwitz, and an early 20th century wood block print by Japanese artist Kawase Hasui. [excerpt]https://cupola.gettysburg.edu/artcatalogs/1014/thumbnail.jp

    The role of E2f4 in cell cycle exit and bone development

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biology, 2009.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references.Members of the E2F family of transcription factors are critical downstream effectors of the pocket protein family and mediate the regulation of genes required for cellular proliferation. The repressive E2Fs act in association with the pocket proteins to promote a G0/G1 phase of the cell cycle. These complexes recruit histone deacetylases to target gene promoters to prevent the transcription of genes required for cell cycle progression. As cell cycle exit is often concomitant with differentiation, it is not surprising that mutation of the E2Fs and pocket proteins results in defective development and differentiation. Mutation of the most abundant E2F, E2F4, is known to disrupt the proper differentiation of several cell types, including erythrocytes and respiratory epithelium cells. Here, I analyzed a novel role for E2f4 in bone development. I found that mutation of E2f4 causes defects in intramembranous and endochondral bone development. The calvarial bones of the skull exhibit the most severe defect in development, which is caused by a significant delay in differentiation of osteoblasts. I showed that E2f4 loss does not alter the differentiation potential of osteoblast progenitors. Instead, loss of E2f4 impairs the ability of these cells to exit the cell cycle and increases the pool of undifferentiated progenitor cells, delaying bone formation. To further elucidate the role of E2f4 in cell cycle exit and differentiation, I have generated conditional E2f4 knockout mice.(cont.) Analysis of these mice will address the cell autonomous roles E2f4 plays during differentiation and development, in addition to establish compensatory roles E2f4 may share with other E2F family members. Taken together, this work has established the in vivo role of E2f4 in osteoblast differentiation and bone development. Furthermore, this work opens new fields of study regarding E2f4 function during mouse development.by Emily S. Miller.Ph.D
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