LE DÉSAVEU DU CORPS HUMAIN COMME SOURCE D’ENQUÊTE DANS LES ÉTUDES CRITIQUES DE L’HANDICAP : LE RETOUR DE L’INFIRMITÉ?

This paper is a critical exploration of how the human body has been excluded or disavowed as a source of inquiry within the nascent field of Critical Disability Studies and from the social model of disability. The locus of scholarly interest has remained singularly on disability to the neglect of examining impairment. This reluctance to address issues of impairment highlights a tension within the disability rights movement on a gender axis. Men with disabilities are more concerned with focusing on “disabling” external barriers, such as unequal access and negative attitudes, at the expense of personal (and bodily) experiences of impairment, which is a concern for women with disabilities. This paper is also an attempt at giving voice to what Crow (1996) has referred to as a “return to impairment” as a means of renewing the social model of disability. Keywords: impairment, embodiment, pain, chronic illness, corporeal disability discourse, social model of disability, “healthy disabled”Ce discours est une exploration critique du processus du désaveu et de l’exclusion du corps humain en tant que source d’enquête dans le champ émergeant des Études Critiques de l’Handicap, et encore du modèle social de l’handicap. L’intérêt académique dans ce champ se focalise toujours sur l’handicap et néglige l’étude de l’infirmité. L’incertitude et l’hésitation envers les problèmes que pose l’infirmité soulignent un clivage dans le mouvement social des personnes ayant un handicap, sur base de genre. Les hommes handicapés se concernent plus avec la mise en œuvre d’un « handicap » envers les barrières externes, du genre accessibilité et les positions négatives de la société, même si leurs expériences personnelles (et corporelles) de l’infirmité souffrent. Les femmes handicapées se concernent plus avec ces expériences, et non l’environnement. Ce discours est également un essai à souligner ce que Crow (1996) appelle un « retour vers l’infirmité » en tant que moyen de renouveler le modèle social de l’handicap. Mots clés : infirmité, corporalité, douleur, maladies chroniques, discours sur les handicaps corporaux, modèle social de l’handicap, « handicaps en forme

Understanding Social Presence and Subject Position in Online Environments

Within various fields of linguistics, language is perceived as a social mechanism, always carrying the meanings and values of community, social groups, networks, culture, identity, and more. Language is at the heart of our interaction with the world around us. In a gaming environment, this translates in discursively created actions and interactions that regulate the relationships between players and, consequently, the outcome of the game. In order to be successful in such environments, players will need to develop a strong social presence, that is to say, the ability to project themselves through their characters in the social community and present themselves as ‘real people’. By examining how players successfully navigate the game space by developing effective collaborative strategies and learning how to beat the game, this study will provide better understanding of the ecology of online learning. This could in turn have three important implications: (1) better understanding of how people do develop media literacy; (2) recommend how to best use media for education; and (3) insight into how to design technology-rich environments to achieve these first two goals

Effects of the World Trade Center Attacks and Hurricane Sandy: Manhattan Commercial Real Estate Market

Two rare and uncontrollable events that recently took place in Manhattan were the attacks on the World Trade Center and Hurricane Sandy. Both of these catastrophic events affected the commercial real estate market in Manhattan in several ways. Using quarterly time-series data between 1996 and 2013 collected from Brookfield Office Properties, this paper utilizes regression analysis to investigate the effects of these events on vacancy rate, absorption rate and rent in Manhattan. The regression analyses control for location and building type such as Midtown, Downtown and Classes A,B,C, as well as economic factors such as unemployment rate and the S&P index. The regression results show that rent decreased in Downtown after 9/11 by 22% compared to Midtown. Rent showed a similar relationship with Sandy. Absorption rate also significantly decreased in Downtown by 4.98% after 9/11 compared to Midtown. Vacancy rate showed no significant effects from these two events

Private Information Retrieval in an Anonymous Peer-to-Peer Environment

Private Information Retrieval (PIR) protocols enable a client to access data from a server without revealing what data was accessed. The study of Computational Private Information Retrieval (CPIR) protocols, an area of PIR protocols focusing on computational security, has been a recently reinvigorated area of focus in the study of cryptography. However, CPIR protocols still have not been utilized in any practical applications. The aim of this thesis is to determine whether the Melchor Gaborit CPIR protocol can be successfully utilized in a practical manner in an anonymous peer-to-peer environment

Quantum Computation and Visualization of Hamiltonians using Discrete Quantum Mechanics and IBM QISKit

Quantum computers have the potential to transform the ways in which we tackle some important problems. The efforts by companies like Google, IBM and Microsoft to construct quantum computers have been making headlines for years. Equally important is the challenge of translating problems into a state that can be fed to these machines. Because quantum computers are in essence controllable quantum systems, the problems that most naturally map to them are those of quantum mechanics. Quantum chemistry has seen particular success in the form of the variational quantum eigensolver (VQE) algorithm, which is used to determine the ground state energy of molecular systems. The goal of our work has been to use the matrix formulation of quantum mechanics to translate other systems so that they can be run through this same algorithm. We describe two ways of accomplishing this using a position basis approach and a Gaussian basis approach. We also visualize the wave functions from the eigensolver and make comparisons to theoretical results obtained with continuous operators.Comment: 6 pages, 7 figures, Proceedings 2018 New York Scientific Data Summi

Correlation Analysis of Simultaneously Collected Bistatic and Monostatic Sea Clutter

In this work we analyse the correlation properties of simultaneous bistatic and monostatic polarimetric sea clutter data, collected by the NetRAD multistatic radar system. In particular, we study the temporal autocorrelation and cross-correlation functions of the texture and speckle samples, as a function of the system geometry and of the polarization of the transmitter and receiver antennas. These features can vary significantly as a function of bistatic angle and the goal of this paper is to quantify these variations and extract any trends that are observed

Constellation Forecasting Tools for Autonomous Operations

Large constellations are quickly becoming the norm in small satellite missions. These constellations are being designed and developed faster than ever before through the utilization of smaller, heterogeneous spacecraft. Often, these constellations provide increased resiliency and capabilities over their heritage, highly tailored counterparts. The ability to replace on-orbit assets quickly and with lower costs is an advantageous feature of these large smallsat constellations. With the advent of these new architectures, though, come increased complexity in mission operations. The management and monitoring of potentially hundreds of heterogeneous space assets can be extremely challenging and negate much of the cost savings using current operational approaches. Additional complexity is added with the loss expectancy of some number of assets inherent to the design within these constellations. Rather than tasking individual assets to complete missions on behalf of the system, ideal operation would be conducted through tasking of the constellation as a whole. This approach requires tasking of the individual assets by the constellation using machine-to-machine (M2M) data sharing and on-orbit autonomous decision making. Recent advances in machine learning (ML) and artificial intelligence (AI) have now set the stage for the state of the possible in this regard. The authors of this paper are part of a research and development team aiming to develop solutions and tools to support this operational approach. The ideas presented involve a procedural and technical implementation of using forecasted operational effects developed by a combination of state machines and ML tools. First, the system’s state is gathered, time-synced, and produced into a “Dynamic Relative Telemetry Calculator.” This is presented as an NxN matrix documenting each node’s state relative to all other nodes in the system. Next, a desired operational command can be loaded into the system. Multiple possible operational scenarios and effects can be propagated. For each propagation, each asset must be capable of reporting the “cost” of performing a certain task within a certain operational scenario. By itself, this still requires a human in the loop to analyze the results and determine a command decision. However, the secondary and tertiary effects of these decisions are still unknown. To this front, the authors are developing a method of wrapping ML capability around the system\u27s state machine and propagators to create a forecaster capable of autonomously determining optimal decisions within a system. The forecaster operates in real time, improving its predictions as more data is produced by each subsystem. Generated operational forecasts, and their effects, are validated with log data from a simulation. This data is being applied to proprietary mission scenarios, but could also be applied to historical open/mission data for validation or operational lessons learned. Over time, this forecasting tool could optimize large constellation management by reserving human in the loop for only the most severe/impactful decision thresholds. This paper will present current progress of the integrated solution, next steps in the research and development roadmap, and, most importantly, the current technical hurdles still to overcome to achieve true spaceflight autonomy

Disclosure checklists and illustrative financial statements for nonprofit organizations : a financial reporting practice aid, November 1989 edition

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