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Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook
This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.
Date:
October 19, 2021
Creator:
Urs, Namratha; Behpour, Sahar; Georgaras, Angie & Albert, Mark
System:
The UNT Digital Library
Using representational and abstract imagery to createregulatory fit effects
Article asserts that visual imagery is one of the most important methods of communicating with consumers, but scholars have generally neglected the role of different forms of visual imagery (representational and abstract). The authors demonstrate that prevention-focused versus promotion-focused mindsets guide the interpretation of meanings conveyed by representational versus abstract visual imagery as a nonverbal means to achieve regulatory fit.
Date:
October 19, 2023
Creator:
Naletelich, Kelly; Ketron, Seth; Spears, Nancy & Gelves, J. Alejandro
System:
The UNT Digital Library
Sustainable and Innovative Packaging Solutions in the Fashion Industry: Global Report
Article states it is the first global report on sustainable packaging innovation in the fashion sector using data-mining to gather a sample of 400 international fashion brands that advertise sustainable packaging solution across five continents. The report discusses the sustainability of the packaging of these fashion brands, testing the validity of their claims of sustainable packaging.
Date:
October 19, 2022
Creator:
Jestratijevic, Iva & Brodnjak-Vrabič, Urška
System:
The UNT Digital Library
Predicting psoriasis using routine laboratory tests with random forest
Article describes how psoriasis is a chronic inflammatory skin disease that affects approximately 125 million people worldwide. The goal of the authors' study is to derive a powerful predictive model for psoriasis disease based on only routine hospital tests.
Date:
October 19, 2021
Creator:
Zhou, Jing; Li, Yuzhen & Guo, Xuan
System:
The UNT Digital Library