Linked Open Data refers to a set of best practices for the publication and interlinking of structured data on the Web in order to create a global interconnected data space called Web of Data. To ensure the resources featured in a dataset are richly described and, at the same time, protected against malicious users, we need to specify the conditions under which a dataset is accessible. Being abl...

A Linked stress release model, incorporating stress transfer and spatial interaction between diierent seismic regions, is proposed. The model is applied to spatio-temporal seismicity analysis of historical earthquake catalogues and synthetic ones generated by physical models. The results highlight the triggering mechanism of earthquake occurrence and the evidence that the crust may lie in a nea...

There is already a vast amount of Linked Data on the web. What is missing is a convenient way of analyzing and visualizing the data that would benefit from the Linked Data principles. In our previous work we introduced the Linked Data Visualization Model (LDVM). It is a formal base that exploits the principles to ensure interoperability and compatibility of compliant components. In this paper w...

Linked (Open) Data (LD) offer the great opportunity to interconnect and share large amounts of data on a global scale, creating added value compared to data published via pure HTML. However, this enormous potential is not completely accessible. In fact, LD datasets are often affected by errors, inconsistencies, missing values and other quality issues that may lower their usage. Users are often ...

The automated translation of one natural language to another, known as machine translation (MT), typically requires successful modeling of the grammars of the languages and the relationship between them. Rather than hand-coding these grammars and relationships, some machine translation efforts employ data-driven methods, where the goal is to learn from a large amount of training examples of acc...

There is a vast amount of Linked Data on the web spread across a large number of datasets. One of the visions behind Linked Data is that the published data is conveniently reusable by others. This, however, depends on many details such as conformance of the data with commonly used vocabularies and adherence to best practices for data modeling. Therefore, when an expert wants to reuse existing d...

The linked-cluster expansion technique for the high-temperature expansion of spin model is reviewed. A new algorithm for the computation of three-point and higher Green’s functions is presented. Series are computed for all components of two-point Green’s functions for a generalized 3D Ising model, to 25th order on the bcc lattice and to 23rd order on the sc lattice. Series for zero-momentum fou...

Mutations in the leucine-rich repeat kinase (LRRK2) gene cause late-onset autosomal dominant Parkinson's disease (PD) with pleiomorphic pathology. Previously, we and others found that expression of mutant LRRK2 causes neuronal degeneration in cell culture. Here we used the GAL4/UAS system to generate transgenic Drosophila expressing either wild-type human LRRK2 or LRRK2-G2019S, the most common ...

X-linked Alport syndrome (XLAS) is a progressive disorder of basement membranes caused by mutations in the COL4A5 gene, encoding the alpha5 chain of type IV collagen. A mouse model of this disorder was generated by targeting a human nonsense mutation, G5X, to the mouse Col4a5 gene. As predicted for a nonsense mutation, hemizygous mutant male mice are null and heterozygous carrier female mice ar...