Towards making EPUB 3-based e-textBooks a first-class mobile learning environment

Students master courses by interacting with a multitude of learning objects. These interactions may include reading documents, watching explanatory videos, taking notes, completing assignments, and experimenting with physical objects. During these interactions, students often have to switch between different learning environments, including Web browsers, video players, textbooks, and workbooks. By integrating these different environments into a unified learning environment, we can save students' time. Moreover, thanks to an increasing adoption of tablets in schools and universities, we also have the opportunity to deploy this unified learning environment on a single mobile device, thus enabling anytime and anywhere learning. We refer to such a learning environment as a 'first-class' mobile learning environment. In this paper, we empirically investigate to what extent an EPUB 3-based e-TextBook can be used to facilitate a 'first-class' mobile learning environment. To that end, we created an EPUB 3-based prototype e-TextBook that has been enhanced in terms of both its presentation and representation, meeting requirements that are typically ascribed by the literature to mobile learning environments. Specifically, we integrated three interactive widgets into our e-TextBook that are able to (1) exchange information with each other (inter-widget communication) and (2) that are able to semi-automatically create new content (that is, that are able to act as semi-automatic content providers): a report maker widget, a sine formula widget, and a corresponding interactive graph maker widget. In addition, we integrated different types of learning objects into our e-TextBook, including multimedia objects, objects with augmented reality features (i.e., digital objects that allow for interaction with physical objects), and objects that offer contextualized content. Both the widgets and the learning objects can be used within a unified learning environment. Furthermore, we semantically annotated the learning content in order to improve its discoverability. We find that our e-TextBook complies with the requirements found in the literature. Moreover, our e-TextBook makes it possible to provide visual feedback on student actions, thus having positive effects on the learning process. In addition, our e-TextBook mitigates distraction by providing a unified mobile learning environment. Furthermore, the use of EPUB 3 allows for interoperable packaging of semantically annotated learning content. Finally, the use of EPUB 3 paves the way for mobile usage of learning content, and thus for anytime and anywhere learning.

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Precise kinetic measurements and spatial uniformity of catalytic beds

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Clustering media items stemming from multiple social networks

We have created and evaluated an algorithm capable of deduplicating and clustering exact- and near-duplicate media items of type photo and video that get shared on multiple social networks in the context of events. This algorithm works in an entirely ad hoc manner without requiring any pre-calculation. When people attend events, they more and more share event-related media items publicly on social networks to let their social network contacts relive and witness the attended events. In the past, we have worked on methods to accumulate such public user-generated multimedia content in order to summarize events visually, for example, in the form of media galleries or slideshows. In this paper, first, we introduce social-network-specific reasons and challenges that cause near-duplicate media items. Second, we detail an algorithm for the task of deduplicating and clustering exact- and near-duplicate media items stemming from multiple social networks. Finally, we evaluate the algorithm's strengths and weaknesses and thoroughly compare its performance with the state-of-the-art feature detection algorithms SIFT, ASIFT and SURF and show that for the given use case it performs almost equally well accuracy-wise, but strongly outperforms speed-wise.

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The effect of Gibbs ringing artifacts on measures derived from diffusion MRI

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Accurate molecular imaging of small animals taking into account animal models, handling, anaesthesia, quality control and imaging system performance

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Linked data-as-a-service: the semantic web redeployed

Ad-hoc querying is crucial to access information from Linked Data, yet publishing queryable RDF datasets on the Web is not a trivial exercise. The most compelling argument to support this claim is that the Web contains hundreds of thousands of data documents, while only 260 queryable SPARQL endpoints are provided. Even worse, the SPARQL endpoints we do have are often unstable, may not comply with the standards, and may differ in supported features. In other words, hosting data online is easy, but publishing Linked Data via a queryable API such as SPARQL appears to be too difficult. As a consequence, in practice, there is no single uniform way to query the LOD Cloud today. In this paper, we therefore combine a large-scale Linked Data publication project (LOD Laundromat) with a low-cost server-side interface (Triple Pattern Fragments), in order to bridge the gap between the Web of downloadable data documents and the Web of live queryable data. The result is a repeatable, low-cost, open-source data publication process. To demonstrate its applicability, we made over 650,000 data documents available as data APIs, consisting of 30 billion triples.

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Direct Difunctionalization of Activated Alkynes via Domino Oxidative Benzylation/1,4-Aryl Migration/Decarboxylation Reactions under Metal-free Conditions

Chem. Commun., 2016, Accepted Manuscript
DOI: 10.1039/C5CC10084D, Communication

Tao Miao, Dong Xia, Yang Li, Pinhua Li, Lei Wang
An oxidative difunctionalization of aryl alkynoate via benzyl radical initiated intramolecular 1,4-aryl migration and decarboxylation tandem process was developed in presence of tert-butyl hydroperoxide (TBHP) as an oxidant, which provides...
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