118 research outputs found
Aus der Masse die Klasse: wer ist der Top-Kandidat? : Einblicke in die digitale Personalbeschaffung der Zukunft
Wie können Unternehmen bei der Auswahl von Bewerbern zukünftig besser zwischen Quantität und Qualität abwägen? Welche Wege sollten Kandidaten bei der Suche nach ihrem Wunscharbeitgeber einschlagen? Fragen, mit denen sich die Frankfurter Wirtschaftsinformatiker beschäftigen. Das Internet hat in den letzten Jahren die Personalbeschaffung erobert: Viele große und mittlere Unternehmen suchen ihr neues Personal inzwischen überwiegend auf elektronischem Weg. So lassen sich nicht nur die Kosten für das Personalmarketing deutlich reduzieren, auch die Rekrutierungszeiten werden kürzer. Doch gleichzeitig sehen sich die Unternehmen einer wachsenden Flut von Bewerbern gegenüber: Stellensuchende nutzen – verstärkt durch den Druck des Arbeitsmarkts – zunehmend die Chance, ihre Bewerbung über das Internet schnell, kostengünstig und an mehrere Unternehmen gleichzeitig elektronisch zu versenden. Um schnell die relevantesten Bewerber für ausgeschriebene Stellen zu identifizieren, benötigen die Unternehmen entsprechende Tools. Das Team um Wolfgang König und Tobias Keim erforscht innovative Lösungen
Entropy and Kinetics of Point-Defects in Two-Dimensional Dipolar Crystals
We study in experiment and with computer simulation the free energy and the
kinetics of vacancy and interstitial defects in two-dimensional dipolar
crystals. The defects appear in different local topologies which we
characterize by their point group symmetry; is the n-fold cyclic group
and is the dihedral group, including reflections. The frequency of
different local topologies is not determined by their almost degenerate
energies but dominated by entropy for symmetric configurations. The kinetics of
the defects is fully reproduced by a master equation in a multi-state Markov
model. In this model, the system is described by the state of the defect and
the time evolution is given by transitions occurring with particular rates.
These transition rate constants are extracted from experiments and simulations
using an optimisation procedure. The good agreement between experiment,
simulation and master equation thus provides evidence for the accuracy of the
model.Comment: 9 pages, 12 figure
Self-organized defect strings in two-dimensional crystals
Using experiments with single particle resolution and computer simulations we
study the collective behaviour of multiple vacancies injected into
two-dimensional crystals. We find that the defects assemble into linear strings
that propagate through the crystal in a succession of rapid one-dimensional
gliding phases and rare rotations, during which the direction of motion
changes. At both ends, strings are terminated by dislocations with
anti-parallel Burgers vectors. By monitoring the separation of the
dislocations, we measure their effective interactions with high precision, for
the first time beyond spontaneous formation and annihilation, and explain the
double-well form of the dislocation interaction in terms of continuum
elasticity theory. Our results give a detailed picture of the motion and
interaction of dislocations in two dimensions and enhance our understanding of
topological defects in two-dimensional nano-materials
Comprehensive school shaped by progressive education. On the currency of Fritz Karsen\u27s concept of a comprehensive and social labor school
Der Berliner Pädagoge Fritz Karsen hat in den 20er und frühen 30er Jahren im Arbeiterviertel Neukölln eine Reformschule entwickelt und erprobt. Die Schule wurde 1933 von den Nazis zerschlagen und ist nach 1945 zu Unrecht vergessen worden. Aus ihrem Konzept einer Einheits- und sozialen Arbeitsschule lassen sich angesichts heutiger Problemlagen vielfältige Anregungen gewinnen. (DIPF/Orig.)In the 1920s and early 30s, the educationalist Fritz Karsen developed and realized a reform school in the working-class area called Neukölln in Berlin. The school was closed by the Nazis in 1933 and has unjustly been forgotten after 1945. In the face of today\u27s problems, Karsen\u27s concept of a comprehensive and social labor school (Arbeitsschule) offers manifold impulses. (DIPF/Orig.
Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data
We present an approach that shows all relevant subspaces of categorical data condensed in a single picture. We model the categorical values of the attributes as co-occurrences with data partitions generated from structured data using pattern mining. We show that these co-occurrences are a-priori, allowing us to greatly reduce the search space, effectively generating the condensed picture where conventional approaches filter out several subspaces as these are deemed insignificant. The task of identifying interesting subspaces is common but difficult due to exponential search spaces and the curse of dimensionality. One application of such a task might be identifying a cohort of patients defined by attributes such as gender, age, and diabetes type that share a common patient history, which is modeled as event sequences. Filtering the data by these attributes is common but cumbersome and often does not allow a comparison of subspaces. We contribute a powerful multi-dimensional pattern exploration approach (MDPE-approach) agnostic to the structured data type that models multiple attributes and their characteristics as co-occurrences, allowing the user to identify and compare thousands of subspaces of interest in a single picture. In our MDPE-approach, we introduce two methods to dramatically reduce the search space, outputting only the boundaries of the search space in the form of two tables. We implement the MDPE-approach in an interactive visual interface (MDPE-vis) that provides a scalable, pixel-based visualization design allowing the identification, comparison, and sense-making of subspaces in structured data. Our case studies using a gold-standard dataset and external domain experts confirm our approach’s and implementation’s applicability. A third use case sheds light on the scalability of our approach and a user study with 15 participants underlines its usefulness and power
Distribution and Molecular Evolution of Bacillus anthracis Genotypes in Namibia
The recent development of genetic markers for Bacillus anthracis has made it possible to monitor the spread and distribution of this pathogen during and between anthrax outbreaks. In Namibia, anthrax outbreaks occur annually in the Etosha National Park (ENP) and on private game and livestock farms. We genotyped 384 B. anthracis isolates collected between 1983–2010 to identify the possible epidemiological correlations of anthrax outbreaks within and outside the ENP and to analyze genetic relationships between isolates from domestic and wild animals. The isolates came from 20 animal species and from the environment and were genotyped using a 31-marker multi-locus-VNTR-analysis (MLVA) and, in part, by twelve single nucleotide polymorphism (SNP) markers and four single nucleotide repeat (SNR) markers. A total of 37 genotypes (GT) were identified by MLVA, belonging to four SNP-groups. All GTs belonged to the A-branch in the cluster- and SNP-analyses. Thirteen GTs were found only outside the ENP, 18 only within the ENP and 6 both inside and outside. Genetic distances between isolates increased with increasing time between isolations. However, genetic distance between isolates at the beginning and end of the study period was relatively small, indicating that while the majority of GTs were only found sporadically, three genetically close GTs, accounting for more than four fifths of all the ENP isolates, appeared dominant throughout the study period. Genetic distances among isolates were significantly greater for isolates from different host species, but this effect was small, suggesting that while species-specific ecological factors may affect exposure processes, transmission cycles in different host species are still highly interrelated. The MLVA data were further used to establish a model of the probable evolution of GTs within the endemic region of the ENP. SNR-analysis was helpful in correlating an isolate with its source but did not elucidate epidemiological relationships
A Timescale for Evolution, Population Expansion, and Spatial Spread of an Emerging Clone of Methicillin-Resistant Staphylococcus aureus
Due to the lack of fossil evidence, the timescales of bacterial evolution are largely unknown. The speed with which genetic change accumulates in populations of pathogenic bacteria, however, is a key parameter that is crucial for understanding the emergence of traits such as increased virulence or antibiotic resistance, together with the forces driving pathogen spread. Methicillin-resistant Staphylococcus aureus (MRSA) is a common cause of hospital-acquired infections. We have investigated an MRSA strain (ST225) that is highly prevalent in hospitals in Central Europe. By using mutation discovery at 269 genetic loci (118,804 basepairs) within an international isolate collection, we ascertained extremely low diversity among European ST225 isolates, indicating that a recent population bottleneck had preceded the expansion of this clone. In contrast, US isolates were more divergent, suggesting they represent the ancestral population. While diversity was low, however, our results demonstrate that the short-term evolutionary rate in this natural population of MRSA resulted in the accumulation of measurable DNA sequence variation within two decades, which we could exploit to reconstruct its recent demographic history and the spatiotemporal dynamics of spread. By applying Bayesian coalescent methods on DNA sequences serially sampled through time, we estimated that ST225 had diverged since approximately 1990 (1987 to 1994), and that expansion of the European clade began in 1995 (1991 to 1999), several years before the new clone was recognized. Demographic analysis based on DNA sequence variation indicated a sharp increase of bacterial population size from 2001 to 2004, which is concordant with the reported prevalence of this strain in several European countries. A detailed ancestry-based reconstruction of the spatiotemporal dispersal dynamics suggested a pattern of frequent transmission of the ST225 clone among hospitals within Central Europe. In addition, comparative genomics indicated complex bacteriophage dynamics
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