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Two late eighth-century Latin gospel books have recently been identified as witnesses to the pre-Vulgate text of the Gospel according to John. In this article, their text of Mark is analysed and shown also to contain significant Old Latin material notwithstanding their general affiliation to the Vulgate. VL 11A (Würzburg, Universitätsbibliothek M.p.th.f. 67) has an unaltered Old Latin portion between Mark 10:30 and 11:5 and earlier readings throughout the manuscript. There are a number of unique or poorly-attested variants, including de publico in 7:4 and cum omni sollicitudine in Mark 14:44 which may give some clues about the origin of the text. VL 9A (St Petersburg, National Library of Russia F.v.I.8) has a mixed text with a significant proportion of Old Latin readings in Mark 10-14. Some of these are only paralleled by VL 1 (Codex Bobiensis) and represent a very early Latin version. In certain introductions to direct speech, this is the only Latin witness which corresponds to the earliest Greek form of text. It is also suggested that the Durham Gospels (or a closely related manuscript) may have been used to adjust VL 9A towards the Vulgate. A critical apparatus is provided for Mark in each manuscript.

Christianity --- mixed text manuscript

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Cet ouvrage regroupe un ensemble de contributions scientifiques destinées à mieux appréhender, dans leur variété et leur complexité, les diverses recherches menées durant ces quarante dernières années autour de la cohésion et de la cohérence des textes notamment en France. Un accent particulier y est mis sur une conception renouvelée (M. Charolles, 1997) de la taxinomie des marques de cohésion discursives, qui propose de distinguer les marques de connexion des marques d’indexation. Les premières (anaphores et connecteurs) permettent d’établir des liens de cohésion discursive avec le cotexte amont. Les secondes, projectives, s’exercent vers le cotexte aval et permettent d’indexer des segments textuels potentiellement étendus en les regroupant au sein d’unités sémantico-pragmatiques que M. Charolles (ibid.) propose de nommer « cadres de discours ».

coherence --- cohesion --- connection --- indexation --- text

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The series "QUELLEN UND FORSCHUNGEN ZUR LITERATUR- UND KULTURGESCHICHTE" (Sources and Research in the History of Literature and Culture), with a rich tradition stretching back to 1874, is an established feature among the renowned publications for German Literary Studies. Edited by Ernst Osterkamp and Werner Röcke at the Humboldt University of Berlin, the series presents examples of high-quality scholarship examining literary texts in conjunction with historical cultural phenomena, particularly with the other arts. There is an explicit demand for literary studies with a transdisciplinary approach. German literature from the Middle Ages to the present day forms the main focus of the series.

As the historical cultural thrust of the series includes aspects of intercultural experience and national perceptions of the other, Quellen und Forschungen is also open to occasional comparative studies. The publications of the series include monographs, doctoral and professorial theses and thematically focused volumes of collected papers. Works presented for acceptance in the series are required to display scholarly relevance and excellence in method and presentation.

German literary studies --- literary text --- history --- first female scholars --- Wiener Germanistik --- Wissenschaftsgeschichte --- erste privatdozentinnen

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A thorough understanding of pathogenic microorganisms and their interactions with host organisms is crucial to prevent infectious threats due to the fact that Pathogen-Host Interactions (PHIs) have critical roles in initiating and sustaining infections. Therefore, the analysis of infection mechanisms through PHIs is indispensable to identify diagnostic biomarkers and next-generation drug targets and then to develop strategic novel solutions against drug-resistance and for personalized therapy. Traditional approaches are limited in capturing mechanisms of infection since they investigate hosts or pathogens individually. On the other hand, the systems biology approach focuses on the whole PHI system, and is more promising in capturing infection mechanisms. Here, we bring together studies on the below listed sections to present the current picture of the research on Computational Systems Biology of Pathogen-Host Interactions:- Computational Inference of PHI Networks using Omics Data- Computational Prediction of PHIs- Text Mining of PHI Data from the Literature- Mathematical Modeling and Bioinformatic Analysis of PHIs Computational Inference of PHI Networks using Omics Data Gene regulatory, metabolic and protein-protein networks of PHI systems are crucial for a thorough understanding of infection mechanisms. Great advances in molecular biology and biotechnology have allowed the production of related omics data experimentally. Many computational methods are emerging to infer molecular interaction networks of PHI systems from the corresponding omics data. Computational Prediction of PHIs Due to the lack of experimentally-found PHI data, many computational methods have been developed for the prediction of pathogen-host protein-protein interactions. Despite being emerging, currently available experimental PHI data are far from complete for a systems view of infection mechanisms through PHIs. Therefore, computational methods are the main tools to predict new PHIs. To this end, the development of new computational methods is of great interest. Text Mining of PHI Data from Literature Despite the recent development of many PHI-specific databases, most data relevant to PHIs are still buried in the biomedical literature, which demands for the use of text mining techniques to unravel PHIs hidden in the literature. Only some rare efforts have been performed to achieve this aim. Therefore, the development of novel text mining methods specific for PHI data retrieval is of key importance for efficient use of the available literature. Mathematical Modeling and Bioinformatic Analysis of PHIs After the reconstruction of PHI networks experimentally and/or computationally, their mathematical modeling and detailed computational analysis is required using bioinformatics tools to get insights on infection mechanisms. Bioinformatics methods are increasingly applied to analyze the increasing amount of experimentally-found and computationally-predicted PHI data. Acknowledgements: We, editors of this e-book, acknowledge Emrah Nikerel (Yeditepe University, Turkey) and Arzucan Özgür (Bogaaziçi University, Turkey) for their contributions during the initiation of the Research Topic.

pathogen-host interaction --- protein-protein interaction --- gene regulatory network --- Computational Biology --- bioinformatics --- OMICS data --- Network Inference --- text mining --- Constraint-based modeling --- Image-based Systems Biology