Author Contributions: V.C. designed and supervised the study. V.C. and L.P. performed the uranium exposure experiments and prepared the samples for proteomics. N.T., M.F. and L.F. performed microscopic analysis and ICP-AES measurements. B.A.-B. acquired the proteomics data and N.G., B.A.-B. and J.A. performed the proteomic analyses. P.O. and M.B. performed genomic and phylogenetic analyses and constructed ORF databases for proteomics. A.M.A. established UipA topology in vivo. N.G. purified the recombinant proteins and performed fluorescence titration experiments, assisted by N.B. N.G. and D.L. performed native mass spectrometry experiments. N.G. acquired FTIR data under C.B. supervision. N.G. prepared the samples for synchrotron-based analysis and participated in EXAFS data acquisition. C.D.A. performed EXAFS data acquisition and processing. N.B. and N.G. performed crystallization tests and obtained the protein crystals under supervision of P.A. P.A. and P.L. resolved the

No abstract

No abstract

Problem Statement: Image base methods are a new approach for solving problems of navigations for visually impaired people. Approach: The study introduced a new approach of an electronic cane for blind people using the environment represented as a weighted topological graph instead, each node contains images taken at some poses in the work space, instead of building a metric (3D) model of the environment. Results: By computing weights between already stored images and the real scene of the environment and take some considerations like sessions. The system gives advices for the blind person to select the right direction in indoor navigate depending on weights and session, where a mono camera cane-held gives information in front of the visually impaired person. Conclusion: A cane that has the ability of getting SIFT feature for an object or site from a sequence of live images using the suggested approach is very satisfactory, The session and weight, speed up the system and gives a wide range indoor navigation and may be used to outdoor. Experimental results demonstrated a good performance of proposed method, the identification of different scenes to the blind person done by constructing the weighted visual environment graph to the system. The proposed scheme is using SIFT features to represent the objects and the sites