Titlebook: Handbuch Mitarbeiterkommunikation; Interne Kommunikatio Sabine Einwiller,Sonja Sackmann,Ansgar Zerfaß Book 2021 Springer Fachmedien Wiesbad

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Peter Winkler,Uta Rußmannn resulting in unclear timestamps. Therefore, this article combines the conclusion dependency graph into a process dependency graph to determine the identification order of the timeliness of each process data; By constructing a weighted timeliness graph (WTG) and path single flux, a data timeliness

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Chemotherapy

Simone Huck-Sandhu comparisons and speeding up ER. Blocking is usually an unsupervised task. In this paper, we develop an unsupervised blocking framework based on pre-trained language models (B-PLM). B-PLM exploits the powerful linguistic expressiveness of the pre-trained language models. A design space for B-PLM con

BLAZE

Stefan Süß,Elena Gesang,Sascha Ruhlecent years, the trend in knowledge-aware recommendation methods has been to leverage Graph Neural Networks (GNNs) to aggregate node information in KG. However, many of these methods focus on mining the item knowledge association on KG, but ignore the potential item auxiliary information in user’s hi

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Berend Barkela,Isabella Glogger,Michaela Maier,Frank M. Schneideric (ES) and end-diastolic (ED), which are observed by cardiologists and technicians during echocardiography. These phases are used to perform critical calculations during echocardiography, such as calculating heart chamber size and the calculation of ejection fraction. Typically, ED and ES phase det

Odyssey

Barter

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