Johannes Kepler University of Linz

About: Johannes Kepler University of Linz is a education organization based out in Linz, Oberösterreich, Austria. It is known for research contribution in the topics: Thin film & Quantum dot. The organization has 6605 authors who have published 19243 publications receiving 385667 citations.

Swept Volume Parameterization for Isogeometric Analysis

Abstract: Isogeometric Analysis uses NURBS representations of the domain for performing numerical simulations. The first part of this paper presents a variational framework for generating NURBS parameterizations of swept volumes. The class of these volumes covers a number of interesting free-form shapes, such as blades of turbines and propellers, ship hulls or wings of airplanes. The second part of the paper reports the results of isogeometric analysis which were obtained with the help of the generated NURBS volume parameterizations. In particular we discuss the influence of the chosen parameterization and the incorporation of boundary conditions.

Fusing Social Media Cues: Personality Prediction from Twitter and Instagram

Abstract: Incorporating users' personality traits has shown to be instrumental in many personalized retrieval and recommender systems. Analysis of users' digital traces has become an important resource for inferring personality traits. To date, the analysis of users' explicit and latent characteristics is typically restricted to a single social networking site (SNS). In this work, we propose a novel method that integrates text, image, and users' meta features from two different SNSs: Twitter and Instagram. Our preliminary results indicate that the joint analysis of users' simultaneous activities in two popular SNSs seems to lead to a consistent decrease of the prediction errors for each personality trait.

Requirements for product derivation support: Results from a systematic literature review and an expert survey

Abstract: Context: An increasing number of publications in product line engineering address product derivation, i.e., the process of building products from reusable assets. Despite its importance, there is still no consensus regarding the requirements for product derivation support. Objective: Our aim is to identify and validate requirements for tool-supported product derivation. Method: We identify the requirements through a systematic literature review and validate them with an expert survey. Results: We discuss the resulting requirements and provide implementation examples from existing product derivation approaches. Conclusions: We conclude that key requirements are emerging in the research literature and are also considered relevant by experts in the field.

Competition and Gender Prejudice: Are Discriminatory Employers Doomed to Fail? *

Abstract: According to Becker's famous theory on discrimination (Gary Becker, 1957, The Economics of Discrimination, University of Chicago Press), entrepreneurs with a strong prejudice against female workers forgo profits by submitting to their tastes. In a competitive market their firms lack efficiency and are therefore forced to leave. We present new empirical evidence for this prediction by studying the survival of start-up firms in longitudinal matched employer–employee data. We find that firms with strong preferences for discrimination approximated by a low share of female employees relative to the industry average have significantly shorter survival rates. This is especially relevant for firms starting out with female shares in the lower tail of the distribution. Competition at the industry level additionally reduces firm survival and accelerates the rate at which prejudiced firms are weeded out. We also find evidence for employer learning as highly discriminatory start-up firms that manage to survive submit to market powers and increase their female workforce over time.