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I embraced the opportunity to cover the Nets, and for the past four months, I’ve covered the Nets alongside our contributors. So far, it’s been such a fun ride. Since October, I’ve been working with Sandy as the site’s Co Expert. At the end of the XIX century, when the young Giovanni Bosco began to cultivate vines, the city of Castellammare Adriatico (that became Pescara in 1926) had no more than 15.000 inhabitants and extended on a narrow land. All around was the countryside and the “Lovers Hills” of Pescara were a fertile ground for vines: on those hills grew the first vines that thereafter characterized the Bosco’s Family history. Strong and tenacious as the vine, Giovanni finally obtained a wonderful red wine with an intensive bouquet and a spicy taste, that once named Montepulciano d’Abruzzo, became famous all over the world in the following century.
We wonder what Tchaikovsky would say about SashaQ’s Romantic Disco videos. We suspect he’d like them. I have a railroad video. Bisexual Christians used creative agency in their intimate lives and found support from personal communities and friendships. This chapter attempts to move from exploring sexuality and faith separately, towards an intersectional approach to the experiences of the participants. Although their religious and sexual lives are considered, the chapter aims to explore how the experiences of the participants intertwine and how the identities speak to, and inform each other.
An iterative turbo decoder based cross layer error recovery scheme for compressed video is presented in this paper. The soft information exchanged between two convolutional decoders is reinforced both by channel coded parity and video compression syntactical information. An algorithm to identify the video frame boundaries in corrupted compressed sequences is formulated.
Asphalt streets have a maximum lifetime of twenty years. Initially, they deteriorate slowly and then very rapidly towards the end of their useful life. As a result, if streets are not repaired within the first fifteen years their subsequent reconstruction costs increase by a factor of four.
Despite its great potential in studying brain anatomy and structure, diffusion magnetic resonance imaging (dMRI) is marred by artefacts more than any other commonly used MRI technique. In this paper we present a non parametric framework for detecting and correcting dMRI outliers (signal loss) caused by subject motion.Signal loss (dropout) affecting a whole slice, or a large connected region of a slice, is frequently observed in diffusion weighted images, leading to a set of unusable measurements. This is caused by bulk (subject or physiological) motion during the diffusion encoding part of the imaging sequence.