Download Wiz Khalifa - Something New Instrumental

[Tam Enke]

Rostrum Records president Benjy Grinberg first heard about Wiz Khalifa in 2004 when the rapper's contribution to a mixtape of various new Pittsburgh artists attracted his interest.[1] When Grinberg finally met the 16-year-old artist, he immediately decided he wanted to work with him, later telling HitQuarters: "Even though he wasn't all the way developed you could just tell that he was a diamond in the rough, and that with some polishing, guidance and backing he could become something special."[1] Khalifa signed to the label shortly after and began a seven-year period of artist development.[1] Following hype generated by his 2006 album Show and Prove, Khalifa signed to Warner Bros. Records in 2007. "Say Yeah" was released as his third single with the label in January 2008 via digital download.[2] It was later solicited to US rhythmic radio in March.[3]

Dysphagia occurs secondary to a variety of underlying etiologies and can contribute to increased risk of adverse events such as aspiration pneumonia and premature mortality. Dysphagia is primarily diagnosed and characterized by instrumental swallowing exams such as videofluoroscopic swallowing studies. videofluoroscopic swallowing studies involve the inspection of a series of radiographic images for signs of swallowing dysfunction. Though effective, videofluoroscopic swallowing studies are only available in certain clinical settings and are not always desirable or feasible for certain patients. Because of the limitations of current instrumental swallow exams, research studies have explored the use of acceleration signals collected from neck sensors and demonstrated their potential in providing comparable radiation-free diagnostic value as videofluoroscopic swallowing studies. In this study, we used a hybrid deep convolutional recurrent neural network that can perform multi-level feature extraction (localized and across time) to annotate swallow segments automatically via multi-channel swallowing acceleration signals. In total, we used signals and videofluoroscopic swallowing study images of 3144 swallows from 248 patients with suspected dysphagia. Compared to other deep network variants, our network was superior at detecting swallow segments with an average area under the receiver operating characteristic curve value of 0.82 (95% confidence interval: 0.807-0.841), and was in agreement with up to 90% of the gold standard-labeled segments.

download wiz khalifa - something new instrumental

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