Editing, Translation, and Recovery Work in Community College English Classes

This article positions community college students as co-researchers who participate in the author’s inquiry into the rhetorical practices of anthology editor

Occupy Wall Street\u27s Challenge to an American Public Transcript

This dissertation examines the rhetoric and discourses of the anti-corporate movement Occupy Wall Street, using frameworks from political ethnography and critical discourse analysis to offer a thick, triangulated description of a single event, Occupy Wall Street\u27s occupation of Zuccotti Park. The study shows how Occupy achieved a disturbing positionality relative to the forces which routinely dominate public discourse and proposes that Occupy\u27s encampment was politically intolerable to the status quo because the movement held the potential to consolidate critical thought and action. Because the soft means of re-capturing public consent were weak in 2011 because of the 2008 economic collapse, the dominant figure in this encounter, billionaire Mayor Michael Bloomberg of New York, led the way to instruments of hard persuasion, culminating in the orchestrated assault carried out on November 15th, an operation that saw the media sequestered, at night, in the dark, with no filmed images allowed or possible, and all street access blocked to supporters of Occupy. The use of hard persausion by the authorities in response to Occupy\u27s discursive threat clarifies how reality is constituted through discursive and material action and suggests that alternative discourse and action has the power to reconstitute reality, redistributing power and working in opposition to human suffering and oppression

Virtual mentor: An innovation in student support

Peer mentoring is well established means of support for first year students (Farrell et al. 2004, Green, 2007) which increases student retention and engagement at a relatively low cost (Boud et al, 2001; Hodges and White, 2001). Many of the existing peer mentoring models are based on face-to-face contact between more experienced students acting as mentors and first year students as the mentees. However, research conducted by Northumbria University indicated that although the principles of peer mentoring were welcomed by students they felt access to a mentee was only required sporadically. However, accessing the University's Virtual Learning Environment is a daily activity (Gannon-Leary and McDowell, 2003). Social Networking Sites such as Facebook are now a global phenomenon (Bausch and Han, 2006) and their role within the students'learning experiences is becoming of increasing interest (Licaardi et al., 2007). Therefore, this paper firstly explores the potential for virtual learning environments or social networking sites to complement or replace the existing face-to face models of peer mentoring and secondly, discusses the factors which may inhibit the introduction of virtual peer mentoring

Phosphorylation stoichiometries of human eukaryotic initiation factors.

Eukaryotic translation initiation factors are the principal molecular effectors regulating the process converting nucleic acid to functional protein. Commonly referred to as eIFs (eukaryotic initiation factors), this suite of proteins is comprised of at least 25 individual subunits that function in a coordinated, regulated, manner during mRNA translation. Multiple facets of eIF regulation have yet to be elucidated; however, many of the necessary protein factors are phosphorylated. Herein, we have isolated, identified and quantified phosphosites from eIF2, eIF3, and eIF4G generated from log phase grown HeLa cell lysates. Our investigation is the first study to globally quantify eIF phosphosites and illustrates differences in abundance of phosphorylation between the residues of each factor. Thus, identification of those phosphosites that exhibit either high or low levels of phosphorylation under log phase growing conditions may aid researchers to concentrate their investigative efforts to specific phosphosites that potentially harbor important regulatory mechanisms germane to mRNA translation

A Friendly Introduction to Mathematical Logic

At the intersection of mathematics, computer science, and philosophy, mathematical logic examines the power and limitations of formal mathematical thinking. In this expansion of Leary’s user-friendly 1st edition, readers with no previous study in the field are introduced to the basics of model theory, proof theory, and computability theory. The text is designed to be used either in an upper division undergraduate classroom, or for self study. Updating the 1st Edition’s treatment of languages, structures, and deductions, leading to rigorous proofs of Gödel’s First and Second Incompleteness Theorems, the expanded 2nd Edition includes a new introduction to incompleteness through computability as well as solutions to selected exercises. Available on Lulu.com, IndiBound.com, and Amazon.com, as well as wholesale through Ingram Content Group.https://knightscholar.geneseo.edu/geneseo-authors/1005/thumbnail.jp

Generating Readable RTL Using a Language Model

This disclosure describes the use of a language model to improve the readability of generated Register-Transfer Level (RTL) code. The language model is provided with a prompt that includes generated RTL and (optionally), the original hardware description. The model produces as output a readable version of the RTL. Prompts can be iterated upon automatically, e.g. if the code fails to pass a test (e.g., a lint test) or does not compile, or manually if the user prefers the output to be in a particular style. The readable RTL output by the language model can be subjected to a logic equivalence check (LEC) to confirm that the output readable RTL is equivalent to the input RTL to ensure that the behavior of the design is identical. Unlike a traditional code formatter, a language model can perform complex transformations and interpret the ideas in a block of code. A language model can also generate meaningful comments as part of the output

Adjustable Algorithmic Tool for Assessing the Effectiveness of Maternal Respiratory Syncytial Virus (RSV) Vaccination on Infant Mortality in Developing Countries

Acute lower respiratory infection (ALRI) due to RSV is a common cause of global infant mortality, with most cases occurring in developing countries. Using data aggregated from priority countries as designated by the United States Agency for International Development’s (USAID) Maternal Child Health and Nutrition (MCHN) program, we created an adjustable algorithmic tool for visualizing the effectiveness of candidate maternal RSV vaccination on infant mortality. Country-specific estimates for disease burden and case fatality rates were computed based on established data. Country-specific RSV-ALRI incidence rates for infants 0-5 months were scaled based on the reported incidence rates for children 0-59 months. Using in-hospital mortality rates and predetermined “inflation factor,” we estimated the mortality of infants aged 0-5 months. Given implementation of a candidate maternal vaccination program, estimated reduction in infant RSV-ALRI incidence and mortality rates were calculated. User input is used to determine the coverage of the program and the efficacy of the vaccine. Using the generated algorithm, the overall reduction in infant mortality varied considerably depending on vaccine efficacy and distribution. Given a potential efficacy of 70% and a maternal distribution rate of 50% in every USAID MCHN priority country, annual RSV-ALRI-related infant mortality is estimated to be reduced by 14,862 cases. The absolute country-specific reduction is dependent on the number of live births; countries with the highest birth rates had the greatest impact on annual mortality reduction. The adjustable algorithm provides a standardized analytical tool in the evaluation of candidate maternal RSV vaccines. Ultimately, it can be used to guide public health initiatives, research funding, and policy implementation concerning the effectiveness of potential maternal RSV vaccination on reducing infant mortality

LLVM FUSING KERNEL COMPILER DESIGN

An example translation component is provided for performing operation fusion optimization. The example component can create a sequence of device-specific compiler operations that performs the operations described by a sequence of computational graph operations in the least amount of time