Information Extraction From Chemical Patents

The development of new chemicals or pharmaceuticals is preceded by an indepth analysis of published patents in this field. This information retrieval is a costly and time inefficient step when done by a human reader, yet it is mandatory for potential success of an investment. The goal of the research project UIMA-HPC is to automate and hence speed-up the process of knowledge mining about patents. Multi-threaded analysis engines, developed according to UIMA (Unstructured Information Management Architecture) standards, process texts and images in thousands of documents in parallel. UNICORE (UNiform Interface to COmputing Resources) workflow control structures make it possible to dynamically allocate resources for every given task to gain best cpu-time/realtime ratios in an HPC environment

United we stand: improving sentiment analysis by joining machine learning and rule based methods

In the past, we have succesfully used machine learning approaches for sentiment analysis. In the course of those experiments, we observed that our machine learning method, although able to cope well with figurative language could not always reach a certain decision about the polarity orientation of sentences, yielding erroneous evaluations. We support the conjecture that these cases bearing mild figurativeness could be better handled by a rule-based system. These two systems, acting complementarily, could bridge the gap between machine learning and rule-based approaches. Experimental results using the corpus of the Affective Text Task of SemEval ’07, provide evidence in favor of this direction. 1

Spin Asymmetries In Diffractive J/ΨJ/\Psi Leptoproduction

In this report we calculate the cross section and $A_{ll}$ asymmetry for the diffractive $J/\Psi$ leptoproduction. We study dependences of the asymmetry on the structure of the Pomeron-proton couplingComment: 4 pages, latex, two PS figures, presented at the International Workshop "Symmetry and Spin" PRAHA'9

OntoGene in BioCreative II

BACKGROUND: Research scientists and companies working in the domains of biomedicine and genomics are increasingly faced with the problem of efficiently locating, within the vast body of published scientific findings, the critical pieces of information that are needed to direct current and future research investment. RESULTS: In this report we describe approaches taken within the scope of the second BioCreative competition in order to solve two aspects of this problem: detection of novel protein interactions reported in scientific articles, and detection of the experimental method that was used to confirm the interaction. Our approach to the former problem is based on a high-recall protein annotation step, followed by two strict disambiguation steps. The remaining proteins are then combined according to a number of lexico-syntactic filters, which deliver high-precision results while maintaining reasonable recall. The detection of the experimental methods is tackled by a pattern matching approach, which has delivered the best results in the official BioCreative evaluation. CONCLUSION: Although the results of BioCreative clearly show that no tool is sufficiently reliable for fully automated annotations, a few of the proposed approaches (including our own) already perform at a competitive level. This makes them interesting either as standalone tools for preliminary document inspection, or as modules within an environment aimed at supporting the process of curation of biomedical literature

Become the best coach you can be: the role of coach training and coaching experience in workplace coaching quality and quality control

This paper explores whether coach training or coaching experience leads to better coaching quality and quality control. In two large studies, both coaches (N1 = 2267) and personnel managers who book coaches for their company (N2 = 754) answered questions about coaching quality and quality control. The results show that more coach training leads to not only a better self-perceived coaching quality (Study 1) but also a better other-perceived coaching-quality (Study 2); moreover, more coach training positively affects quality control. It is remarkable that coaching experience showed no significant relation regarding other-perceived coaching quality and quality control. Study 2 further revealed that references lead to more recommendations but not to a better coaching quality or quality control. Thus, coach training is an essential factor when selecting organizational coaches. Further research is needed to understand the impact of different approaches to coach trainings on coaching outcomes

The VAMOS Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx): goals, platforms, and field operations

The VAMOS Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx) was an international field program designed to make observations of poorly understood but critical components of the coupled climate system of the southeast Pacific. This region is characterized by strong coastal upwelling, the coolest SSTs in the tropical belt, and is home to the largest subtropical stratocumulus deck on Earth. The field intensive phase of VOCALS-REx took place during October and November 2008 and constitutes a critical part of a broader CLIVAR program (VOCALS) designed to develop and promote scientific activities leading to improved understanding, model simulations, and predictions of the southeastern Pacific (SEP) coupled ocean-atmosphere-land system, on diurnal to interannual timescales. The other major components of VOCALS are a modeling program with a model hierarchy ranging from the local to global scales, and a suite of extended observations from regular research cruises, instrumented moorings, and satellites. The two central themes of VOCALS-REx focus upon (a) links between aerosols, clouds and precipitation and their impacts on marine stratocumulus radiative properties, and (b) physical and chemical couplings between the upper ocean and the lower atmosphere, including the role that mesoscale ocean eddies play. A set of hypotheses designed to be tested with the combined field, monitoring and modeling work in VOCALS is presented here. A further goal of VOCALS-REx is to provide datasets for the evaluation and improvement of large-scale numerical models. VOCALS-REx involved five research aircraft, two ships and two surface sites in northern Chile. We describe the instrument payloads and key mission strategies for these platforms and give a summary of the missions conducted

Die Vereinbarkeitsfrage für Männer: Welche Auswirkungen haben Elternzeiten und Teilzeitarbeit auf die Stundenlöhne von Vätern?

Studien zeigen, dass sich viele Väter in Deutschland wünschen, mehr Zeit mit ihren Kindern zu verbringen, dies aufgrund von langen Arbeitszeiten jedoch oft nicht umsetzen können. Elternzeit und Teilzeitarbeit könnten Optionen sein, die Vätern eine bessere Vereinbarkeit von Familie und Beruf ermöglichen. Arbeitsmarkttheorien legen jedoch nahe, dass die Inanspruchnahme solcher Maßnahmen mit Lohneinbußen verbunden ist. Dementsprechend entscheiden sich derzeit viele Väter gegen diese Möglichkeiten zur Vereinbarkeit von Familie und Beruf, da sie finanzielle Einbußen und Karrierenachteile befürchten. Um zu überprüfen, inwieweit diese Erwartungen empirisch fundiert sind, untersucht diese Arbeit daher den Einfluss von Elternzeit und Teilzeitarbeit auf die Stundenlöhne von Vätern. Fixed Effects-Analysen auf Basis des Sozio-oekonomischen Panels (SOEP) 1991-2013 und Familien in Deutschland (FiD) 2010-2013 zeigen, dass Teilzeitarbeit mit Lohneinbußen verbunden ist. Eine Elternzeit wirkt sich hingegen nicht auf die Löhne von Vätern aus - unabhängig davon, ob Väter nur die beiden für sie reservierten Partnermonate oder eine längere Elternzeit in Anspruch nehmen. Die Ergebnisse deuten somit darauf hin, dass die gesetzliche Elternzeit Vätern einen Rahmen bietet, in dem sie sich stärker in ihren Familien engagieren können, ohne berufliche Nachteile zu erfahren.As previous research shows, many German fathers would like to spend more time with their children, but long working hours often restrict their opportunities to do so. Parental leave and part-time work could help fathers to reconcile work and family. Yet, labor market theories predict that using such family-friendly policies may lead to wage penalties. Hence, many fathers decide against using such policies because they fear that parental leave or part-time work will lead to financial penalties and career disadvantages. This article evaluates this concern by empirically examining the effect of parental leave and part-time work on fathers’ hourly wages. Using data from the German Socio-Economic Panel (SOEP) 1991-2013 and Families in Germany (FiD) 2010-2013, results from fixed-effects regression analyses show that part-time work is associated with wage penalties, but parental leave is not - irrespective of whether fathers only took the two months fathers’ quota or longer parental leaves. The results hence indicate that the German parental leave legislation enables fathers to spend more time with their children while protecting them from wage penalties at work