Restrictive Relative Clauses in Maltese

This paper provides a descriptive overview of restrictive relative clauses (henceforth RRCs) in Maltese, a construction which has received little atten- tion to date and which is poorly described in existing grammars. We outline an LFG approach to the facts we describe bulding on existing LFG work on relatives. Further we explore some issues raised by Maltese for approaches to resumption

On the analysis of non-selected datives in Maltese

This paper provides a descriptive overview of extra-argumental or non-selected datives in Maltese, poorly described in existing grammars. We outline an LFG approach to the facts we describe building on existing LFG work and in particular on Kibort (2008)?s approach to dative arguments, extending her approach to the various subclasses of non-selected dative arguments

Unusual DNA binding modes for metal anticancer complexes

DNA is believed to be the primary target for many metal-based drugs. For example, platinum-based anticancer drugs can form specific lesions on DNA that induce apoptosis. New platinum drugs can be designed that have novel modes of interaction with DNA, such as the trinuclear platinum complex BBR3464. Also it is possible to design inert platinum(IV) pro-drugs which are non-toxic in the dark, but lethal when irradiated with certain wavelengths of light. This gives rise to novel DNA lesions which are not as readily repaired as those induced by cisplatin, and provides the basis for a new type of photoactivated chemotherapy. Finally, newly emerging ruthenium(II) organometallic complexes not only bind to DNA coordinatively, but also by H-bonding and hydrophobic interactions triggered by the introduction of extended arene rings into their versatile structures. Intriguingly osmium (the heavier congener of ruthenium) reacts differently with DNA but can also give rise to highly cytotoxic organometallic complexes

EuropeanaTravel

EuropeanaTravel is an EU-funded initiative to digitise cultural heritage treasures on the themes of travel, tourism, trade routes and exploration from Europe’s national and leading research libraries

Semi-blind sparse channel estimation with constant modulus symbols

We propose two methods for the estimation of sparse communication channels. In the first method, we consider the problem of channel estimation based on training symbols, and formulate it as an optimization problem. In this formulation, we combine the objective of fidelity to the received data with a non-quadratic constraint reflecting the prior information about the sparsity of the channel. This approach leads to accurate channel estimates with much shorter training sequences than conventional methods. The second method we propose is aimed at taking advantage of any available training-based data, as well as any "blind" data based on unknown, constant modulus symbols. We propose a semi-blind optimization framework making use of these two types of data, and enforcing the sparsity of the channel, as well as the constant modulus property of the symbols. This approach improves upon the channel estimates based only on training sequences, and also produces accurate estimates for the unknown symbols