Refine
Year of publication
- 2016 (1341) (remove)
Document Type
- Article (1341) (remove)
Is part of the Bibliography
- yes (1341) (remove)
Keywords
- Magellanic Clouds (8)
- German (7)
- Eye movements (6)
- Sun: magnetic fields (6)
- climate change (6)
- intergalactic medium (6)
- methods: data analysis (6)
- techniques: spectroscopic (6)
- Germany (5)
- children (5)
Institute
- Institut für Geowissenschaften (221)
- Institut für Physik und Astronomie (203)
- Institut für Biochemie und Biologie (190)
- Institut für Chemie (156)
- Institut für Ernährungswissenschaft (49)
- Institut für Mathematik (48)
- Department Psychologie (43)
- Bürgerliches Recht (40)
- Wirtschaftswissenschaften (30)
- Department Linguistik (28)
Predicate focus
(2016)
Do properties of individual languages shape the mechanisms by which they are processed? By virtue of their nonconcatenative
morphological structure, the recognition of complex words in Semitic languages has been argued to rely
strongly on morphological information and on decomposition into root and pattern constituents. Here, we report results
from a masked priming experiment in Hebrew in which we contrasted verb forms belonging to two morphological
classes, Paal and Piel, which display similar properties, but crucially differ on whether they are extended to novel verbs.
Verbs from the open-class Piel elicited familiar root priming effects, but verbs from the closed-class Paal did not. Our
findings indicate that, similarly to other (e.g., Indo-European) languages, down-to-the-root decomposition in Hebrew
does not apply to stems of non-productive verbal classes. We conclude that the Semitic word processor is less unique
than previously thought: Although it operates on morphological units that are combined in a non-linear way, it engages
the same universal mechanisms of storage and computation as those seen in other languages.
Many organizations use business process models for documenting their business operations. In recent years, the Business Process Model and Notation (BPMN) evolved into the leading standard for process modeling. However, BPMN is complex: The specification offers a huge variety of different elements and often several representational choices for the same semantics. This raises the question of how well modelers can deal with these choices. Empirical insights into BPMN usage from the perspective of practitioners are still missing. We close this gap by analyzing a large set of BPMN 2.0 process models from practice. We found that particularly representational choices for splits and joins, the correct use of message flow, the proper decomposition of models, and the consistent labeling appear to be connected with quality issues. Based on our findings we give five recommendations how these issues can be avoided in the future. The work summarized in this extended abstract has been published in [LMG16].
Many organizations use business process models to document business operations and formalize business requirements in software-engineering projects. The Business Process Model and Notation (BPMN), a specification by the Object Management Group, has evolved into the leading standard for process modeling. One challenge is BPMN's complexity: it offers a huge variety of elements and often several representational choices for the same semantics. This raises the question of how well modelers can deal with these choices. Empirical insights into BPMN use from the practitioners' perspective are still missing. To close this gap, researchers analyzed 585 BPMN 2.0 process models from six companies. They found that split and join representations, message flow, the lack of proper model decomposition, and labeling related to quality issues. They give five specific recommendations on how to avoid these issues.
Solving problems combining task and motion planning requires searching across a symbolic search space and a geometric search space. Because of the semantic gap between symbolic and geometric representations, symbolic sequences of actions are not guaranteed to be geometrically feasible. This compels us to search in the combined search space, in which frequent backtracks between symbolic and geometric levels make the search inefficient.We address this problem by guiding symbolic search with rich information extracted from the geometric level through culprit detection mechanisms.
Traineeprogramme können im öffentlichen Dienst zur Rekrutierung und Ausbildung von Nachwuchskräften dienen. Solche Programme werden, im Gegensatz zur Privatwirtschaft, wo diese schon seit einigen Jahrzehnten Anwendung finden, im deutschen öffentlichen Dienst erst seit einigen Jahren durchgeführt. Eine erste empirische Erhebung zeigt nun, dass Traineeprogramme im öffentlichen Sektor gut geeignet sind, um Nachwuchskräfte auszubilden und in der Organisation zu sozialisieren. Als entscheidende Einflussfaktoren konnten eine klare Struktur des Programms, ein effektives off-the-job Training, bereichsübergreifende Projektarbeit, der Umfang der Betreuung der Trainees und der Einsatz der jeweiligen Behördenleitung für das Programm identifiziert werden. Deutlich wurde auch, dass während der Einführung eines Traineeprogramms die Trainee-Betreuer entsprechend vorbereitet werden müssen und in den Behörden Akzeptanz für diese neue Form der Nachwuchsgewinnung geschaffen werden muss (Change Management). Die Ergebnisse zeigen jedoch ebenso, dass sich solche Programme nicht zur Personalentwicklung bereits Beschäftigter eignen.