Boron neutron capture therapy (BNCT) for cancer is on the rise worldwide due to recent developments of in-hospital neutron accelerators which are expected to revolutionize patient treatments. There is an urgent need for improved boron delivery agents, and herein we have focused on studying the biochemical foundations upon which a successful GLUT1-targeting strategy to BNCT could be based. By combining synthesis and molecular modeling with affinity and cytotoxicity studies, we unravel the mechanisms behind the considerable potential of appropriately designed glucoconjugates as boron delivery agents for BNCT. In addition to addressing the biochemical premises of the approach in detail, we report on a hit glucoconjugate which displays good cytocompatibility, aqueous solubility, high transporter affinity, and, crucially, an exceptional boron delivery capacity in the in vitro assessment thereby pointing toward the significant potential embedded in this approach.

Edema and insufficient blood perfusion are common problems in reconstructive surgery. The blood vasculature is reconstructed in microvascular flaps, whereas lymphatic vessel function is lost after surgical incision. Here, we demonstrate that vascular endothelial growth factor C (VEGF-C) gene transfer can be used to reconstruct a lymphatic vessel network severed by incision of skin flaps. We used adenoviral VEGF-C gene transfer at the edges of epigastric skin flaps in mice. Our results show that VEGF-C gene expression results in the formation of anastomoses between the lymphatic vessels of the skin flap and the surrounding lymphatic vasculature. Some spontaneous lymphangiogenesis also took place in the control mice, but the lymphatic vessels generated remained nonfunctional even 2 months postoperatively. In contrast, the VEGF-C treated mice demonstrated persistent lymphatic vessel function during the 2 month follow-up despite the transient nature of the adenoviral VEGF-C gene expression. The restoration of lymphatic function by VEGF-C in skin flaps provides new tools to promote vascular perfusion and to reduce tissue edema in skin and muscle flaps. These results have important implications for the prevention and treatment of surgically induced secondary lymphedema.

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Probabilistic Latent Semantic Analysis (PLSA) is an information retrieval technique proposed to improve the problems found in Latent Semantic Analysis (LSA). We have applied both LSA and PLSA in our system for grading essays written in Finnish, called Automatic Essay Assessor (AEA). We report the results comparing PLSA and LSA with three essay sets from various subjects. The methods were found to be almost equal in the accuracy measured by Spearman correlation between the grades given by the system and a human. Furthermore, we propose methods for improving the usage of PLSA in essay grading.

Our report represents a comprehensive review on the antibacterial activity of inorganic nanomaterials and antimicrobial peptides, and how concomitant use of the two can effectively tackle a range of bacterial infections which is a rapidly escalating issues in public health care worldwide. We believe this is of particular current interest with regard to "antimicrobial resistance" being declared one of the top-10 global health threats in 2019 by the WHO.In this group of authors, we have teamed up within the NordForsk-funded university hub Nordic POP (Patient Oriented Products), which we wish to showcase with this contribution. We are currenlty carrying out joint research supported by this network within the topic of the review, so we view this a valuable contribution also within the dissemination of Nordic POP activities.