Why do employers discriminate against job applicants who reside in poor, distant neighborhoods? Previous research indicates that employers call back applicants from these neighborhoods at lower rates, but the motivation for employer discrimination based on residential neighborhood remains unclear. Employers could be responding to long commuting distances, which could lead to higher employee abs...

Richard Eckart de Castilho1 Chris Biemann2 Iryna Gurevych1,3 Seid Muhie Yimam2 (1) Ubiquitous Knowledge Processing Lab (UKP-TUDA) Dept. of Computer Science, Technische Universität Darmstadt (2) FG Language Technology, Dept. of Computer Science, Technische Universität Darmstadt (3) Ubiquitous Knowledge Processing Lab (UKP-DIPF) German Institute for Educational Research and Educational Informatio...

While existing research has documented persistent barriers facing African-American job seekers, far less research has questioned how job seekers respond to this reality. Do minorities self-select into particular segments of the labor market to avoid discrimination? Such questions have remained unanswered due to the lack of data available on the positions to which job seekers apply. Drawing on t...

The flood of sequence data resulting from the large number of current genome projects has increased the need for a flexible, open source genome annotation system, which so far has not existed. To account for the individual needs of different projects, such a system should be modular and easily extensible. We present a genome annotation system for prokaryote genomes, which is well tested and rea...

Previous research has revealed, across a number of contexts, that stigmatized individuals are the recipients of interpersonal discrimination (e.g., M. R. Hebl, J. B. Foster, L. M. Mannix, & J. F. Dovidio, 2002). Such discrimination has been linked to a number of negative outcomes in the workplace, both for stigmatized individuals and for organizations as a whole (see, e.g., E. B. King, J. L. Sh...

Nowadays, many MapReduce applications consist of groups of jobs with dependencies among each other, such as iterative machine learning applications and large database queries. Unfortunately, the MapReduce framework is not optimized for these multi-job applications. It does not explore the execution overlapping opportunities among jobs and can only schedule jobs independently. These issues signi...

In this paper, the barriers to re-employment for unemployed job seekers are studied by means of duration models. The determinants included in the duration models are derived from an economie model of the different stages in the job search process. The empirical analysis of unemployment duration is based on both a reduced form and a structural approach. The reduced form model used is a propottio...

Traffic for a typical MapReduce job in a datacenter consists of multiple network flows. Traditionally, network resources have been allocated to optimize network-level metrics such as flow completion time or throughput. Some recent schemes propose using application-aware scheduling which can reduce the average job completion time. However, most of them treat the core network as a black box with ...

BACKGROUND The aim of this study was to explore the relationships between job demands, job resourses, personal resourses and job satisfaction and to assess the usefulness of the Job Demands-Resources (JD-R) model in the explanation of these phenomena. MATERIALS AND METHODS The research was based on a sample of 500 social workers. The "Psychosocial Factors" and "Job satisfaction" questionnaire...