47325 research outputs found
Sort by
TikTok on Trial: The Future of Social Media Regulation
No full textTikTok has over a billion active users and is at the center of conversations on social media regulation. With laws being passed across the country, including here in Florida, the debate is heating up!
Join us for an eye-opening discussion with experts like Florida Secretary of State Cord Byrd, Florida Education Association President Andrew Spar, and UNF Public Administration Professor Dr. Wanzhu Shi, as we dive into the privacy, security, and public policy challenges surrounding TikTok and social media.https://digitalcommons.unf.edu/events_media/1050/thumbnail.jp
Predictors of Trauma Symptoms in Adults Living with HIV: The Role of Social Connectedness and Sexual Orientation
Get PDFHuman immunodeficiency virus (HIV) has claimed over 740,000 lives in the United States since the 1980s, and further brought a host of mental health concerns, including posttraumatic stress disorder (PTSD), primarily brought on by the discrimination and stigma felt by people living with HIV (PLWHA). Social connectedness may serve as a buffer to the trauma often felt by PLWHA. However, rejection and discrimination can limit access to this needed support, especially for sexual minorities living with HIV. The present study (N = 396) examined relationships between social connectedness, trauma symptoms, and sexual orientation for PLWHA. Results showed that social connectedness was a significant predictor of trauma symptoms within the sample, while sexual orientation did not hold a significant relationship with these symptoms. Clinical implications for professional counselors are discussed
Florida et Apalche
No full textShows southeastern United States and Gulf Coast. The map is drawn from Geronimo de Chaves\u27s map, which was copied by Ortelius in 1584. Wytfliet expands the coverage to include more of the Gulf Coast, as well as extending the map north to the Outer Banks of North Carolina and south to Cuba. The inland details are derived from the reports of Hernando de Soto, during his explorations of 1539-1542, making it one of the few 16th Century maps of North America to include significant inland detail from first hand European accounts. The Florida Peninsula is altered in shape from Ortelius, in that it is more rectangular and has a pronounced neck. The Rio del Spirito Santo shown here is the Mississippi River. Water areas have the moire wavy pattern characteristic of Flemish maps of this time period. Geographic coordinates converted to Greenwich.https://digitalcommons.unf.edu/alcfh-maps/1008/thumbnail.jp
Mr. and Mrs. Chris Pedroni and Julia Taylor
No full textPhotograph: (l-r) Mr. and Mrs. Chris Pedroni present Julia Tayor, UNF Director of Development, with a check for the music department. Image from Spinnaker Media. Circa 1993https://digitalcommons.unf.edu/spinnaker-images/1001/thumbnail.jp
Research-Study-for-Hanna-Park-Book-II
No full textPhotograph
20 x 24
Gift of the Artisthttps://digitalcommons.unf.edu/library_art/1074/thumbnail.jp
Dove in Hand
No full textGelatin silver print
13 x 11
Gift of the Ibach Familyhttps://digitalcommons.unf.edu/library_art/1072/thumbnail.jp
A memory efficient deep recurrent Q-learning approach for autonomous wildfire surveillance
Get PDFPrevious literature demonstrates that autonomous UAVs (unmanned aerial vehicles) have the po- tential to be utilized for wildfire surveillance. This advanced technology empowers firefighters by providing them with critical information, thereby facilitating more informed decision-making processes. This thesis applies deep Q-learning techniques to the problem of control policy design under the objective that the UAVs collectively identify the maximum number of locations that are under fire, assuming the UAVs can share their observations. The prohibitively large state space underlying the control policy motivates a neural network approximation, but prior work used only convolutional layers to extract spatial fire information from the current observations. This work utilizes a network that also incorporates a recurrent module to capture temporal information from the history of observations. Experiments involving two simulated fixed-wing aircraft demonstrate that the proposed technique uses approximately 20 times less memory than the approach of prior work, while achieving comparable results in locating the fires. A secondary contribution of the experiment is the inclusion of a more realistic physics-based wildfire propagation model, in con- trast to the simplified probabilistic fire propagation models assumed in prior work. This work relies on modeling fire propagation and fuel reaction rates as a pair of partial differential equations with respect to time. A wildfire simulation with a stronger temporal dependency emphasized the importance of using a neural network architecture that can effectively integrate information over time