Hyper-Ludicity, Contra-Ludicity, and the Digital Game

This article identifies and interrogates a primary design principle that exists across digital game genres and formats, articulated as ludicity. The article uses specific examples across videogame genres to communicate a spectrum of ludicity with two opposing poles, hyper-ludicity and contra-ludicity. Hyper-ludicity describes instances where the game mechanics inflate, expand, or enable the player to perform actions either beyond their usual effectance, providing a sense of empowerment, or provide new actions previously outside the boundaries of the game mechanics. Contra-ludicity is the opposing principle, where the game mechanics deflate, contract, or disempower the player, where tried and tested mechanics become less effective or have no effect at all, and in some instances where entire mechanics are wholly removed from the system. Though this would seem contrary to the pleasure of play, this article investigates how this design principle also maintains its own form of pleasure

The Cynthia Woods incident: When the rescuer becomes the rescuee

Survival at sea for Steven Conway and five Texas A&M University at Galveston students after the sinking of the sailboat Cynthia Woods

The RAG Model: a new paradigm for genetic risk stratification in multiple myeloma

Molecular studies have shown that multiple myeloma is a highly genetically heterogonous disease which may manifest itself as any number of diverse subtypes each with variable clinicopathological features and outcomes. Given this genetic heterogeneity, a universal approach to treatment of myeloma is unlikely to be successful for all patients and instead we should strive for the goal of personalised therapy using rationally informed targeted strategies. Current DNA sequencing technologies allow for whole genome and exome analysis of patient myeloma samples that yield vast amounts of genetic data and provide a mutational overview of the disease. However, the clinical utility of this information currently lags far behind the sequencing technology which is increasingly being incorporated into clinical practice. This paper attempts to address this shortcoming by proposing a novel genetically based “traffic-light” risk stratification system for myeloma, termed the RAG (Red, Amber, Green) model, which represents a simplified concept of how complex genetic data may be compressed into an aggregate risk score. The model aims to incorporate all known clinically important trisomies, translocations, and mutations in myeloma and utilise these to produce a score between 1.0 and 3.0 that can be incorporated into diagnostic, prognostic, and treatment algorithms for the patient

Teaching Change: Information Literacy Collaboration at Texas A&M University at Galveston

While college students use a wide array of technologies to access information, their skills at determining what is relevant, in a university setting and in life, are poor. Many of these skills have to be taught in college courses. Instruction must be performed by a collaborative team using technologies that effectively reach students. This team must be ready to go into the classroom when needed and be able to address the problem whenever the student needs assistance. The results will be better writing and better research skills that will not only benefit the faculty but will lead to lifelong learning

Emerging Policy and Practice Issues (2007)

This paper, presented at the West Government Contracts Year in Review Conference (covering 2007), attempts to identify the key trends and issues for 2008 in U.S. federal procurement. We bemoan the absence of attention to significant issues by the current Presidential candidates, critique the leadership vacuum that sustains the longstanding and increasingly critical acquisition workforce shortage, and discuss the potentially active legislative agenda in light of the now-Final Report of the Acquisition Advisory Panel (AAP), a blue-ribbon commission mandated by Section 1423 of the Services Acquisition Reform Act (SARA). We also discuss the dramatic post-2000 trend in increased federal procurement spending, increased transparency due to the Federal Procurement Data System and new online vehicles, increased attention to contractor compliance systems, continuing problems with contracting in Iraq, and the application of certain social policies to the procurement process

The General Mission Analysis Tool (GMAT) System Test Plan

This document serves as the System Test Approach for the GMAT Project. Preparation for system testing consists of three major stages: 1) The Test Approach sets the scope of system testing, the overall strategy to be adopted, the activities to be completed, the general resources required and the methods and processes to be used to test the release. It also details the activities, dependencies and effort required to conduct the System Test. 2) Test Planning details the activities, dependencies and effort required to conduct the System Test. 3) Test Cases documents the tests to be applied, the data to be processed, the automated testing coverage and the expected results. This document covers the first two of these items, and established the framework used for the GMAT test case development. The test cases themselves exist as separate components, and are managed outside of and concurrently with this System Test Plan

Magnetic Particle Imaging tracks the long-term fate of in vivo neural cell implants with high image contrast.

We demonstrate that Magnetic Particle Imaging (MPI) enables monitoring of cellular grafts with high contrast, sensitivity, and quantitativeness. MPI directly detects the intense magnetization of iron-oxide tracers using low-frequency magnetic fields. MPI is safe, noninvasive and offers superb sensitivity, with great promise for clinical translation and quantitative single-cell tracking. Here we report the first MPI cell tracking study, showing 200-cell detection in vitro and in vivo monitoring of human neural graft clearance over 87 days in rat brain

The General Mission Analysis Tool (GMAT): Current Features And Adding Custom Functionality

The General Mission Analysis Tool (GMAT) is a software system for trajectory optimization, mission analysis, trajectory estimation, and prediction developed by NASA, the Air Force Research Lab, and private industry. GMAT's design and implementation are based on four basic principles: open source visibility for both the source code and design documentation; platform independence; modular design; and user extensibility. The system, released under the NASA Open Source Agreement, runs on Windows, Mac and Linux. User extensions, loaded at run time, have been built for optimization, trajectory visualization, force model extension, and estimation, by parties outside of GMAT's development group. The system has been used to optimize maneuvers for the Lunar Crater Observation and Sensing Satellite (LCROSS) and ARTEMIS missions and is being used for formation design and analysis for the Magnetospheric Multiscale Mission (MMS)