Humans as Data

The fear of humans abusing technology to control others and the sociopolitical order has been at the heart of many dystopian stories. This fear is also at the heart of Watch_Dogs 2, where the centralized city-wide management system made by the Blume Corporation, called ctOS, has become the basis for all things online. Over the course of the story, the player becomes part of the hacktivist group DedSec, who uncover and disclose the manipulative usage of the internet by Blume and other tech corporations. The oppressive system of surveillance, automated data collection, and (social) media manipulation is presented in detail during the main and side missions of the game. These missions criticize current topics of interest regarding internet and data security by referencing specific events and addressing important, underlying issues. The game also includes gameplay aspects where players are able to experience and perform the power of the system first-hand. However, textual analyses of the narrative and the ludic elements reveal contradictions and incoherencies between gameplay design and the narrative’s intended criticism caused by the interplay of narrative storytelling and gameplay elements. The result is a split of atmosphere between story and gameplay, creating the impression that Watch_Dogs 2 has two contradicting personalities, which ultimately subvert its own dystopian criticism

Queer Voices in Hip Hop

Notions of hip hop authenticity, as expressed both within hip hop communities and in the larger American culture, rely on the construction of the rapper as a Black, masculine, heterosexual, cisgender man who enacts a narrative of struggle and success. In Queer Voices in Hip Hop, Lauron J. Kehrer turns our attention to openly queer and trans rappers and positions them within a longer Black queer musical lineage. Combining musical, textual, and visual analysis with reception history, this book reclaims queer involvement in hip hop by tracing the genre’s beginnings within Black and Latinx queer music-making practices and spaces, demonstrating that queer and trans rappers draw on Ballroom and other cultural expressions particular to queer and trans communities of color in their work in order to articulate their subject positions. By centering the performances of openly queer and trans artists of color, Queer Voices in Hip Hop reclaims their work as essential to the development and persistence of hip hop in the United States as it tells the story of hip hop’s queer roots

Place learning overrides innate behaviors in Drosophila

Animals in a natural environment confront many sensory cues. Some of these cues bias behavioral decisions independent of experience, and action selection can reveal a stimulus–response (S–R) connection. However, in a changing environment it would be a benefit for an animal to update behavioral action selection based on experience, and learning might modify even strong S–R relationships. How animals use learning to modify S–R relationships is a largely open question. Three sensory stimuli, air, light, and gravity sources were presented to individual Drosophila melanogaster in both naïve and place conditioning situations. Flies were tested for a potential modification of the S–R relationships of anemotaxis, phototaxis, and negative gravitaxis by a contingency that associated place with high temperature. With two stimuli, significant S–R relationships were abandoned when the cue was in conflict with the place learning contingency. The role of the dunce (dnc) cAMP-phosphodiesterase and the rutabaga (rut) adenylyl cyclase were examined in all conditions. Both dnc1 and rut2080 mutant flies failed to display significant S–R relationships with two attractive cues, and have characteristically lower conditioning scores under most conditions. Thus, learning can have profound effects on separate native S–R relationships in multiple contexts, and mutation of the dnc and rut genes reveal complex effects on behavior.</jats:p

Queer Voices in Hip Hop

Notions of hip hop authenticity, as expressed both within hip hop communities and in the larger American culture, rely on the construction of the rapper as a Black, masculine, heterosexual, cisgender man who enacts a narrative of struggle and success. In Queer Voices in Hip Hop, Lauron J. Kehrer turns our attention to openly queer and trans rappers and positions them within a longer Black queer musical lineage. Combining musical, textual, and visual analysis with reception history, this book reclaims queer involvement in hip hop by tracing the genre’s beginnings within Black and Latinx queer music-making practices and spaces, demonstrating that queer and trans rappers draw on Ballroom and other cultural expressions particular to queer and trans communities of color in their work in order to articulate their subject positions. By centering the performances of openly queer and trans artists of color, Queer Voices in Hip Hop reclaims their work as essential to the development and persistence of hip hop in the United States as it tells the story of hip hop’s queer roots

Improving Transmon Qudit Measurement on IBM Quantum Hardware

The Hilbert space of a physical qubit typically features more than two energy levels. Using states outside the qubit subspace can provide advantages in quantum computation. To benefit from these advantages, individual states of the $d$-dimensional qudit Hilbert space have to be discriminated during readout. We propose and analyze two measurement strategies that improve the distinguishability of transmon qudit states. Based on a model describing the readout of a transmon qudit coupled to a resonator, we identify the regime in hardware parameter space where each strategy is optimal. We discuss these strategies in the context of a practical implementation of the default measurement of a ququart on IBM Quantum hardware whose states are prepared by employing higher-order $X$ gates that make use of two-photon transitions.Comment: 13 pages, 6 figures; corrected typos, references added, shortened section

Contrasting dedicated model transformation languages versus general purpose languages: a historical perspective on ATL versus Java based on complexity and size

Model transformations are among the key concepts of model-driven engineering (MDE), and dedicated model transformation languages (MTLs) emerged with the popularity of the MDE pssaradigm about 15 to 20 years ago. MTLs claim to increase the ease of development of model transformations by abstracting from recurring transformation aspects and hiding complex semantics behind a simple and intuitive syntax. Nonetheless, MTLs are rarely adopted in practice, there is still no empirical evidence for the claim of easier development, and the argument of abstraction deserves a fresh look in the light of modern general purpose languages (GPLs) which have undergone a significant evolution in the last two decades. In this paper, we report about a study in which we compare the complexity and size of model transformations written in three different languages, namely (i) the Atlas Transformation Language (ATL), (ii) Java SE5 (2004–2009), and (iii) Java SE14 (2020); the Java transformations are derived from an ATL specification using a translation schema we developed for our study. In a nutshell, we found that some of the new features in Java SE14 compared to Java SE5 help to significantly reduce the complexity of transformations written in Java by as much as 45%. At the same time, however, the relative amount of complexity that stems from aspects that ATL can hide from the developer, which is about 40% of the total complexity, stays about the same. Furthermore we discovered that while transformation code in Java SE14 requires up to 25% less lines of code, the number of words written in both versions stays about the same. And while the written number of words stays about the same their distribution throughout the code changes significantly. Based on these results, we discuss the concrete advancements in newer Java versions. We also discuss to which extent new language advancements justify writing transformations in a general purpose language rather than a dedicated transformation language. We further indicate potential avenues for future research on the comparison of MTLs and GPLs in a model transformation context.Universität Ulm (1055)Peer Reviewe

Linear and nonlinear thermoviscoelastic behavior of polyamide 6

Thermoplastic polyamides are used in many industrial areas due to their potential in lightweight applications. Polyamides serve as matrix material in fiber reinforced thermoplastics, for instance. The mechanical behavior of polyamides is characterized by pronounced viscoelastic effects that are strongly affected by environmental conditions like temperature or humidity. In this work, linear thermoviscoelastic behavior of polyamide 6 is considered. Viscoelastic behavior is modeled by the generalized Maxwell model while extended time-temperature superposition is used to model temperature dependency. A temperature-frequency sweep conducted by dynamic mechanical analysis serves as input for the model. By horizontal and vertical shifting, master curves of the loss factor, storage modulus, and loss modulus are obtained. Based on this, limitations of time-temperature superposition and linear thermoviscoelastic modeling are discussed. Furthermore, it is shown that the horizontal shifts can be well approximated by the Williams-Landel-Ferry equation for temperatures above and below the glass transition temperature