Yu Chen

Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be best expressed with a graph structure. As a result, there is a surge of interest in developing new deep learning techniques on graphs for a large number of NLP tasks. In this monograph, the authors present a comprehensive overview on Graph Neural Networks (GNNs) for Natural Language Processing. They propose a new taxonomy of GNNs for NLP, which systematically organizes existing research of GNNs for NLP along three axes: graph construction, graph representation learning, and graph based encoder-decoder models. They further introduce a large number of NLP applications that exploits the power of GNNs and summarize the corresponding benchmark datasets, evaluation metrics, and open-source codes. Finally, they discuss various outstanding challenges for making the full use of GNNs for NLP as well as future research directions. This is the first comprehensive overview of Graph Neural Networks for Natural Language Processing. It provides students and researchers with a concise and accessible resource to quickly get up to speed with an important area of machine learning research.

The study of "in Christ" language in New Testament scholarship has received widespread attention in recent years. Nevertheless, despite all the perspectives from which scholars have treated this topic, one aspect of "in Christ" language has received only scant attention: its ritual or sacramental aspect. While theological, epistemological, and linguistic factors have contributed to the downplaying of rituals like baptism and the Lord's Supper in the New Testament, Yu Chen develops the framework of a ritual transformation model from ritual theories to place the study of ritual in its rightful place. Accordingly, the author focuses on the historical and social implications of the ritual performance of baptism and the Lord's Supper, which are used to explain the mechanisms of union with Christ. Finally, he argues that rituals provide participants with access to the transformative experience of encountering the risen Messiah.

This thesis reports on essential advances in the design, synthesis and biomedical applications of multifunctional Mesoporous Silica Nanoparticles (MSNs). It provides several examples of multifunctional MSN-based drug delivery nanosystems and demonstrates successful synergistic cancer therapies combining MSNs and high-intensity focused ultrasound. The book will especially be of interest to researchers and graduate students in the fields of biomaterials, biology, chemistry, medicine and the life sciences who are working to develop new methods and technologies to combat cancer.

Diese Arbeit untersucht, ob sich die Sprechfertigkeit chinesischer Studierender im Deutschen wahrend des Fachstudiums in Deutschland verbessert. Dazu wird mit mundlichen DSH-Prufungen die sprachliche Entwicklung ermittelt. Die Ergebnisse werden dann auf die quantitativen Befunde einer Fragebogenerhebung bezogen. Mittels statistischer Tests werden soziale und psychologische Faktoren bestimmt, die sich auf die Verbesserung der Sprechfertigkeit auswirken. Zudem werden durch Interviews mit ausgewahlten Probanden qualitative Daten erhoben, zu deren Analyse die Studie kulturwissenschaftliche und sozialpsychologische Ansatze heranzieht. Aus diesen empirischen Befunden werden dann differenzierte Empfehlungen fur die Hochschulen zur Foerderung des Weitererwerbs von Deutschkenntnissen abgeleitet.