Titlebook: The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations; Aboul Ella Hassanien,Ashraf Darwish B

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Julia Hillmann about the roles and practices of problem based learning in teacher education. The following chapters reflect the close relationships between colleagues and preservice teachers who are involved in a problem based learning (PBL) teacher education cohort at the University of British Columbia. Our writ

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Design and Engineering of Proteins as Therapeutic Agents,r pharmacological properties, understanding of interactions with their target receptor, and the synthetic feasibility of the proposed modifications. This approach is likely to remain the primary route to new drugs because of the widespread applicability of small-molecule therapeutics. However, as th

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Pulmonary Hypertension in Chronic Neonatal Lung Disease: Mechanisms and Targets,ndition has been and remains associated with serious pulmonary and neurological sequelae that have major lifelong health implications. Pulmonary hypertension is a common and important associated phenomenon, contributing to high mortality. Considerable gaps in knowledge exist, particularly with respe

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Bedeutung der Digitalisierung für das Controlling und den Controllerichen Merkmale und Erscheinungsformen der Digitalisierung. Anschließend werden die Einflüsse der digitalen Welt auf eine wertschöpfungsorientierte Steuerung und die Auswirkungen auf zentrale Aufgabenfelder im Controlling dargestellt. Dabei wird im Einzelnen aufgezeigt, welche Konsequenzen die Digita

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Sibling Relationships in the Family Contexthrkräftebildung an der Pädagogischen Hochschule Heidelberg aufgezeigt und in Beziehung gesetzt zum interkulturellen Lernen und der Zielperspektive der . Digitale Elemente fungieren dabei nicht als Werkzeuge, sondern transformieren die fremdsprachliche Lehrkräftebildung im Sinn von BNE und spezifischer dem Nachhaltigkeitsziel 4.7.

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Kazuo Mizukoshided state-of-the-art results with better insights and high accuracy. In this chapter, we provide a rigorous literature review of deep learning based methods designed for node classification, and conclude the chapter with interesting and futuristic open research directions to fill the gap in the curr