The pivotal role of LYRIC/AEG-1 in malignant transformation, tumourigenesis and chemo-resistance has previously been demonstrated in different cell types and sub-cellular compartments. The localisation of LYRIC/AEG-1 appears crucial to its function and is regulated by three lysine-rich nuclear localisation signal regions, one of which was previously demonstrated to be modified by ubiquitin. Her...

Human immunodeficiency virus type 1 (HIV-1) Gag is the main structural protein driving assembly and release of virions from infected cells. Gag alone is capable of self-assembly in vitro, but host factors have been shown to play a role in efficient viral replication and particle morphogenesis within the living cell. In a series of affinity purification experiments, we identified the cellular pr...

PURPOSE LYRIC/AEG-1 has been reported to influence breast cancer survival and metastases, and its altered expression has been found in a number of cancers. The cellular function of LYRIC/AEG-1 has previously been related to its subcellular distribution in cell lines. LYRIC/AEG-1 contains three uncharacterized nuclear localization signals (NLS), which may regulate its distribution and, ultimatel...

Computational creativity is one area of NLP which requires extensive analysis of large datasets. Laalalaa [1] framework for Lyric analysis and generation proposed a lyric analysis subsystem that required statistical analysis of Tamil lyrics. In this paper, we propose a data analysis model for words, rhymes and their usage in Tamil lyrics. The proposed analysis model extracts the root words from...

In offering a brief sketch of some aspects of Herodotus’ use of lyric poetry I shall restrict myself to melic poetry. I shall start with explicit allusions, and then turn to some passages for which Herodotus’ source must have been lyric poetry, and indeed rather grand lyric poetry, though he conceals this. We learn something about his principles and methodology, but also about the diffusion of ...

Lyric-based song sentiment classification seeks to assign songs appropriate sentiment labels such as light-hearted and heavy-hearted. Four problems render vector space model (VSM)-based text classification approach ineffective: 1) Many words within song lyrics actually contribute little to sentiment; 2) Nouns and verbs used to express sentiment are ambiguous; 3) Negations and modifiers around t...

A study was conducted at the “Hörzentrum Oldenburg” (Hearing Center Oldenburg) in Germany to compare Lyric with digital hearing aids. The 12 participants in the study were experienced users of digital hearing aids. These subjects underwent various tests at the beginning of the study while wearing their own digital hearing aids. The same tests were readministered after the subjects had been fitt...

This research examines the role lyric text can play in improving audio music mood classification. A new method is proposed to build a large ground truth set of 5,585 songs and 18 mood categories based on social tags so as to reflect a realistic, user-centered perspective. A relatively complete set of lyric features and representation models were investigated. The best performing lyric feature s...

Singing voice is specific in music: a vocal performance conveys both music (melody/pitch) and lyrics (text/phoneme) content. This paper aims at exploiting the advantages of melody and lyric information for real-time audio-to-score alignment of singing voice. First, lyrics are added as a separate observation stream into a template-based hidden semi-Markov model (HSMM), whose observation model is...

Each artist has their own taste for topics of lyrics such as “love” and “friendship.” Considering such artist’s taste brings new applications in music information retrieval: choosing an artist based on topics of lyrics and finding unfamiliar artists who have similar taste to a favorite artist. Although previous studies applied latent Dirichlet allocation (LDA) to lyrics to analyze topics, LDA w...