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Titlebook: WikiTools; Kooperation im Web Anja Ebersbach,Markus Glaser,Richard Heigl Book 20051st edition Springer-Verlag Berlin Heidelberg 2005 Conten

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1439-5428 ls, Projektdatenbank mit Beispielseiten.Includes supplementaEin Buch über Wikis! Das braucht der Mensch. Denn mit der Wiki-Technologie können viele Menschen frei- stimmt gemeinsam arbeiten – sie können sogar ganz große Werke im intellektuellen Bereich errichten. Sehen Sie: Wir bewundern heute noch u
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Spontaneous Generation of Magnetic Fields in the Laboratory,f cosmic magnetic field is pointed out. The second part of this article is devoted to the planned experimental realization of the dynamo effect in the laboratory. Since liquid sodium must be pumped for this purpose through helical pipes at rates of about 100. ./., the planned experiment has required
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Generative AI with Modeling and Simulation of Activity and Flow-Based Diagramstion and expansion in various overlapping domains. We examine how such a phenomenon can be assisted with generative AI and benefit from large language models (LLMs), such as GPT-4. We demonstrate ways of incorporating generated text and outputs from LLMs into the modeling process. The approach can c
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Theoretische Grundlagen,ie vorliegende Thematik zu schaffen. Dabei beinhaltet Abschnitt 2.1 die Beschreibung junger Wachstumsunternehmen und ihrer charakteristischen Merkmale sowie der Herausforderungen an das Marketing. In Abschnitt 2.2 wird anschließend genauer auf das Themengebiet des Werbemanagements eingegangen und ei
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Pathological Neurochemistry of Cerebrospinal Fluid, such information from living patients that does not require brain biopsy with its associated morbidity. Studies of CSF effectively circumvent vagaries associated with extrapolation of data from autopsy tissue or from imperfect animal models.
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Application Research of Safety Helmet Detection Based on Low Computing Power Platform Using YOLO v5in the model. In this paper, the helmet is carried out on the Raspberry Pi, and the experimental results show that the improved YOLO v5 algorithm is better than the original algorithm to detect the target, which is helpful to the practical deployment of intelligent transportation, traffic flow and other application scenarios.
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