In this study, we have investigated the structural, electronic, and elastic properties of a new series of Os2YAl, (Y=Sc, Ti, V) alloys called "Full Heusler", based on the Wien2k code using the functional density theory (DFT). The exchange and correlation energy are evaluated as part of the LDA approximation.  The results showed that Os2VAl was more stable and harder than Os2ScAl, and Os2TiAl. The electronic band structures and density of states (DOS) of the compounds indicate that they are metallic because there is no bandgap in these three materials these results have been shown by three approaches (LDA, TB-mBJ, and SOC). Near the Fermi level, the energy is mainly occupied by the Os-5d and Sc, Ti, V-3d electrons. According to the results of the second-order elastic constants, these compounds met Born's criteria for mechanical stability. The elastic properties indicate that our compounds are ductile, anisotropic, and rigid. All the calculations and the data were compared with the results obtained with different methods in terms of its mechanical and electronic behavior, Os2VAl was found to have better physical properties than Os2ScAl, and Os2TiAl.

Medical imaging is now an essential support for screening, diagnosis, treatment protocols implementation, patient monitoring, operative preparation and post-operative control. In addition, scientific and technological advances make it possible to set up new imaging methods, often complementary to the existing ones, but also to gradually improve their accuracy. The result is an increase, in the acquisitions number made for the same patient and for information produced for each examination. Since these images must be kept for a certain period, the storage space required for archiving all this data is constantly evolving and images are often viewed locally, and it can be viewed remotely through networks with limited bandwidth such as the long term evolution (LTE) mobile network. The use of compression quickly proves to be essential, whether to facilitate storage or for these data mass browsing remotely. The results of the work carried out in this article are mainly focused on the medical images compression by the set partitioning hierarchical trees (SPIHT) method, which, in fact, allow a significant reduction for data. We are also interested in the transmission of these images on an LTE mobile radio channel in a way that can provide a high bitrate with good transmission quality, by exploiting the channel coding technique, which is effective in combating the noise introduced during the transmission of these images.

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