3,784 research outputs found
Proteinic Geontopower
PGP is a study of how we come into intimate contact with capitalism through our digestive tract. It is a study of the increasing valuing of protein in contemporary diet culture, focusing on how this phenomenon has resulted in mass-scale global soya production. Protein synthesis and distribution are rearticulated in this work as a set of molecular transactions enacted within/out bodies, moving loosely through ligaments and industrial machinery.
PGP is a speculative exercise in communing with a damaged planet through our daily ingestions
Marketing an Established Institutional Repository: Marquette Libraries\u27 Research Stewardship Survey [poster presentation]
This poster illustrates the planning of a strategic marketing campaign for Marquette University\u27s institutional repository, E-Publications@Marquette. The IR was established in 2008 for the deposit of theses and dissertations and has expanded to include faculty publications and research. Despite active participation by some faculty, universal participation remains an elusive goal. The Coordinators of Digital Programs and Marketing and Outreach collaborated to better promote the services and capabilities of the IR.
This process involved the identification of faculty participation and needs as well as an assessment of the IR’s capabilities in addressing those needs. Faculty participation was identified through the faculty permissions database, providing an accurate number of faculty contributors. A needs assessment survey was sent to Marquette University faculty, identifying areas of potential growth. Consideration was given to the IR’s ability to meet the identified needs. Equipment, staffing, software, and other resources were evaluated. Based upon the assessment survey and the IR’s available resources, planning for a promotional plan and the evaluation of its effectiveness can then occur
Improving Source Separation via Multi-Speaker Representations
Lately there have been novel developments in deep learning towards solving
the cocktail party problem. Initial results are very promising and allow for
more research in the domain. One technique that has not yet been explored in
the neural network approach to this task is speaker adaptation. Intuitively,
information on the speakers that we are trying to separate seems fundamentally
important for the speaker separation task. However, retrieving this speaker
information is challenging since the speaker identities are not known a priori
and multiple speakers are simultaneously active. There is thus some sort of
chicken and egg problem. To tackle this, source signals and i-vectors are
estimated alternately. We show that blind multi-speaker adaptation improves the
results of the network and that (in our case) the network is not capable of
adequately retrieving this useful speaker information itself
Phenomenology of emotions with special reference to dysphoria
Dysphoria is a complex phenomenon which must be defi ned in the framework of different forms of affections. It belongs to the broader field of emotions, which are characterized by some essential features: i.e. movement, passiveness, tran-sitoriness, and reference to the others. All these four essential features of emotion are specifi cally altered in depression, whose phenomenology is presented in a clinical case. In discussing dysphoria, a first distinction is made between par-ticular and global affections. The fi rst type encompasses emotions and feelings, while the second one includes humor, mood and temper. Dysphoria belongs to one of these global affective states: the humor, which has to do with the spatial dimension of existence. In dysphoria the patient experiences the world as oppressive and invasive of his/her intimacy; the others are lived as persons demanding answers or actions he/she is not able to fulfill. Finally, the phenomenology of dysphoria is analyzed through the four essential features described above and examples are given
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