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Lanthanum could act as a preventative measure against bone resorption disorders; two compounds are thoroughly investigated both in vivo and ex vivo as potential oral drug candidates., Bone density diseases such as osteoporosis affect a significant number of people worldwide. Lanthanide ions are functional mimics of calcium ions, able to substitute for Ca2+ in the bone mineral component, hydroxyapatite (HAP). Bone undergoes a continuous remodelling cycle and lanthanides can affect this cycle, exerting a positive influence on bone mineral. We have been engaged in efforts to find new lanthanide containing complexes as active agents for treatment of these diseases and have identified two lead compounds, 3-hydroxy-1,2-dimethylpyridin-4(1H)-one (Hdpp) and a phosphinate-EDTA derivative, bis[[bis(carboxymethyl)amino]-methyl]phosphinate (H5XT). In this paper, we report in vivo data for the first time for the two lead compounds. The pharmacokinetics of La(dpp)3 suggest the complex is rapidly cleared from plasma. We demonstrate that La3+ accumulates in the bone following IV dose of either La(dpp)3 or La(XT) and we have investigated the influence of each chelating ligand on the incorporation of La3+ into HAP using ITC and HAP-binding studies.

—Enabling high Quality of experience (QoE) for video streaming, which accounts for a large and increasing percentage of wireless traffic, anywhere and anytime is a challenging task for relatively new Web Real-Time Communication (WebRTC) protocols as well as for service providers and it triggers broad exploration of this area. In this paper, we present our experience in running experiments for estimation of QoE for a WebRTC video stream in Mobile Broadband (MBB) networks based on Quality of Service (QoS) measurements. For majority of our experiments we exploited the MONROE platform, which is the first open access platform that gives access to several hundreds of nodes for large-scale experiments in commercial MBB in Europe. For analysis of obtained QoS measurements we used a combination of subjective quality assessment and a machine learning approach.