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Connor Sheehan on Muck Rack

Connor Sheehan

Dallas
As seen in: MSN, MDPI, Taylor & Francis Online, ArtStation Magazine, Creative Bloq, 24/7 Wall Street, Dialnet - Universidad de La Rioja, Verywell Fit, Texas Medical Center, Inkl

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Connor Sheehan’s Biography

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FIRM OVERVIEW
Dunn Sheehan LLP is a Dallas law firm that practices business litigation, personal injury, and oil and gas law. Attorneys at the firm are members of the Multi-Million Dollar Advocates Forum® and have been selected for inclusion on the list of Texas Super Lawyers® Rising Stars℠. The firm has won cases for clients in and out of the courtroom, whether they were facing a contract dispute or needed compensation after a car accident. Learn more about the firm at www.dunnsheehan.com.

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Articles

How to use 3D to create epic game art

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By Connor Sheehan
| Inkl
Digital art showing a battle scene in progress. For this official art reveal from [upcoming Japanese dark fantasy-inspired cosmic horror game] Kaidan, I started with a 3D mock-up. Generic elements like the trees and rocks were pulled from asset stores, but anything that required a specific design was built by hand for full control.
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"The Impact of Insomnia Symptoms on Obesity Among Mexicans Aged 50 and " by Kanwal N Momin, Connor Sheehan et al.

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By Kanwal N. Momin, Connor Sheehan, Rafael Samper-Ternent, David Lopez, David López Verified
| Texas Medical Center
OBJECTIVE: To examine the association between insomnia and obesity in Mexican adults aged 50 and older. MATERIALS AND METHODS: We used data from the Mexican Health and Aging Study (2015-2018). Self-reported insomnia was measured using the modified insomnia severity index with scores ranging from zero to six. Obesity was categorized using body mass index (BMI ≥ 30 kg/m2). We used generalized estimating equations to assess the association between insomnia and obesity over three years.
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Social determinants of pet needs among young adults experiencing homelessness in the Southwest United States

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By Daniel Bisgrove, Shiyou Wu, Connor Sheehan
| Taylor & Francis Online
ABSTRACT A substantial proportion of unhoused Americans own pets, yet there is a dearth of research examining what factors predict unhoused people needing support to care for pets. With this information, support programs for unhoused pet owners can be targeted more effectively and efficiently. Survey data included young adults aged 18–34 (n = 205) experiencing homelessness in Phoenix, Arizona. We fit logistic regression models predicting pet needs (has pet needs versus does not have pet needs).
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