916 research outputs found

    Predicting High-Cap Tech Stock Polarity: A Combined Approach using Support Vector Machines and Bidirectional Encoders from Transformers

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    The abundance, accessibility, and scale of data have engendered an era where machine learning can quickly and accurately solve complex problems, identify complicated patterns, and uncover intricate trends. One research area where many have applied these techniques is the stock market. Yet, financial domains are influenced by many factors and are notoriously difficult to predict due to their volatile and multivariate behavior. However, the literature indicates that public sentiment data may exhibit significant predictive qualities and improve a model’s ability to predict intricate trends. In this study, momentum SVM classification accuracy was compared between datasets that did and did not contain sentiment analysis-related features. The results indicated that sentiment containing datasets were typically better predictors, with improved model accuracy. However, the results did not reflect the improvements shown by similar research and will require further research to determine the nature of the relationship between sentiment and higher model performance

    Developing Preservice Teachers\u27 Perspectives on Reader Response

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    This study examines preservice teachers\u27 developing conceptions of reader response theory, specifically focusing on the importance of aesthetic response to students\u27 engagement with and motivation for reading. Three intact classes over three semesters (N = 78) participated in an intervention through literature discussion circles after reading award-winning and multicultural children\u27s and adolescent literature. They read a cycle of three novels in each class. Preservice teachers chose the books from multiple copies provided and responded in writing to each selection prior to meeting in small, student-run groups for discussion. Participants wrote dialectical journals for the first book, completed role sheets for the second selection, and for the third novel, provided a written response of their choice

    Extraordinary Results In Ordinary Communities: Transforming Towns and Growing People

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    This Kettering Foundation Study reports on research conducted in a number of small rural communities struggling to deal with persistent problems that threaten their very existence. The report tells the stories of these places: Bakersville, North Carolina; Haven Acres (a neighborhood in Tupelo, Mississippi); Houston, Minnesota; and Colquitt, Georgia. And it tells the story of how citizens in these communities worked together -- one difficult step at a time -- to breathe new life into their struggling communities

    Revitalizing Tier 2 Intervention with Graphic Novels

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    The authors explore the practice of incorporating graphic novels in a Tier 2 Response To Intervention (RTI) program for five elementary-aged struggling readers in an urban school. Using a formative experiment framework, the study found that graphic novels provided a vehicle for the application of word recognition and fluency strategies learned in the RTI intervention program. In addition, graphic novels were used to develop students’ vocabulary and comprehension skills and resulted in increased progress for students’ fluency as measured by DIBELS. Since graphic novels are not grade level specific, they are appropriate for readers across grades. As a genre, graphic novels can also provide a scaffold for students in the development of literacy skills

    Jurors Judge Justice: A Survey of Criminal Jurors

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    Dipolar and scalar 3^3He and 129^{129}Xe frequency shifts in mm-sized cells

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    We describe a 3^{3}He-129^{129}Xe comagnetometer operating in stemless anodically bonded cells with a 6 mm3^3 volume and a 129^{129}Xe spin coherence time of 300 sec. We use a 87^{87}Rb pulse-train magnetometer with co-linear pump and probe beams to study the nuclear spin frequency shifts caused by spin polarization of 3^{3}He. By systematically varying the cell geometry in a batch cell fabrication process we can separately measure the cell shape dependent and independent frequency shifts. We find that a certain aspect ratio of the cylindrical cell can cancel the effects of 3^3He magnetization that limit the stability of vapor-cell comagnetometers. Using this control we also observe for the first time a scalar 3^{3}He-129^{129}Xe collisional frequency shift characterized by an enhancement factor κHeXe=−0.011±0.001\kappa_{\text{HeXe}} = -0.011\pm0.001.Comment: 4 pages, 4 figure

    Isolation and primary cultures of human intrahepatic bile ductular epithelium

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    A technique for the isolation of human intrahepatic bile ductular epithelium, and the establishment of primary cultures using a serum- and growth-factor-supplemented medium combined with a connective tissue substrata is described. Initial cell isolates and monolayer cultures display phenotypic characteristics of biliary epithelial cells (low molecular weight prekeratin positive; albumin, alphafetoprotein, and Factor VIII-related antigen negative). Ultrastructural features of the cultured cells show cell polarization with surface microvilli, numerous interepithelial junctional complexes and cytoplasmic intermediate prekeratin filaments. © 1988 Tissue Culture Association, Inc
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