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We work through a complete deep learning example with Python’s TensorFlow 2.x library in the Google Colab cloud service. We also demonstrate how to link your Google Drive with the Colab cloud service.

We introduce the basic concepts of deep learning. We use TensorFlow 2.x, the Google cloud service, and Google Drive interaction to make the concepts come alive with Python coding examples.

This tutorial presents the state-of-the-art of adaptation for web interfaces concerning multi-dimensionality and context-awareness. The specific goals include the presentation of: (i) fundamental concepts, as motivations, definitions and relevant context information; (ii) adaptation techniques for web applications, as methods, models, strategies and technologies; (iii) adaptable and adaptive web applications in scientific and commercial aspects.

International audience; As a French-German research team we conducted a survey with a sample of academic libraries and graduate schools in France and Germany to determine the current situation and trends in the publishing of electronic PhD theses and dissertations (ETDs) under Open Access (OA). The percentage of OA theses varies depending on the country, the research field, and the institution. Not all ETDs are available in OA for a variety of reasons, including confidentiality, embargoes, author-imposed restrictions, and a lack of encouragement and/or requirement by libraries and graduate schools. The survey reveals qualitative and structural differences between France and Germany in this area. Here we discuss the survey findings, the methodologies used in the survey, and the various policies (or lack thereof) and their impact on ETDs and OA. A strategy is outlined for moving towards ensuring that publishing ETDs under OA becomes routine, and an electronic version becomes the only manifestation of a thesis.