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Akademický článek

Automated AI Detection Tool for Ankle Fractures Using X-Rays and Smart Devices

Autor: Nour Nassour MD, Jose M. Acitores MS, Caleb Jang BS, Noopur Ranganathan BS, John Wolf BS, John Kwon MD, Christopher W. DiGiovanni MD, Soheil Ashkani-Esfahani

Publikováno v: Foot & Ankle Orthopaedics, Vol 8 (2023)

Category: Ankle; Trauma Introduction/Purpose: The use of artificial intelligence (AI) is particularly salient to visually oriented medical professions, especially orthopedics. The most prominent use of AI in orthopedics comes in the form of medical i

Externí odkaz: https://doaj.org/article/f7227f0a5d6a4d2e86c8853bd5d0a0aa

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Akademický článek

High-resolution rural poverty mapping in Pakistan with ensemble deep learning.

Autor: Felix S K Agyemang, Rashid Memon, Levi John Wolf, Sean Fox

Publikováno v: PLoS ONE, Vol 18, Iss 4, p e0283938 (2023)

High resolution poverty mapping supports evidence-based policy and research, yet about half of all countries lack the survey data needed to generate useful poverty maps. To overcome this challenge, new non-traditional data sources and deep learning t

Externí odkaz: https://doaj.org/article/adf6a7c2176e48cf8fd893beb2760590

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Akademický článek

Effect of Extended Hanging Time on the Microbial Quality of Pork Carcasses and Blade Steaks

Autor: Christopher I. Vahl, Daniel Vega, Elizabeth A. E. Boyle, Francisco Najar-Villarreal, John Gonzalez, John Wolf, Randall Phebus, Terry Houser, Travis O'Quinn

Publikováno v: Meat and Muscle Biology, Vol 4, Iss 1 (2020)

To evaluate the effect of extended post-harvest hanging time on pork carcass sides (n = 20), aerobic plate count (APC), Enterobacteriaceae, yeast and mold populations, pH, and moisture content were determined. Pork carcasses were sampled on d 1, 7, 1

Externí odkaz: https://doaj.org/article/47ede09ca3c34223aac77a36590c3870

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Occupational segregation in the digital economy? A Natural Language Processing approach using UK Web Data

Autor: Giulia Occhini, Emmanouil Tranos, Levi John Wolf

This paper investigates whether and how occupational segregation affects the digital economy. Despite the continuous growth of entrepreneurial activity in the digital, little is known about the demographic characteristics of people actively engaging

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07231c066e8a4521588628b912c8254a
https://doi.org/10.31235/osf.io/z8xta

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