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Articles 1 - 14 of 14
Full-Text Articles in Physical Sciences and Mathematics
All Quiet On The Digital Front: The Unseen Psychological Impacts On Cybersecurity First Responders, Tammie R. Hollis
All Quiet On The Digital Front: The Unseen Psychological Impacts On Cybersecurity First Responders, Tammie R. Hollis
USF Tampa Graduate Theses and Dissertations
Driven by the increasing frequency of cyberattacks and the existing talent gap between industry needs and skilled professionals, this research study focused on the crucial human element in the domain of cybersecurity incident response. The objective of this dissertation was to offer a meaningful exploration of the lived experiences encountered by cybersecurity incident responders and an assessment of the subsequent impacts on their well-being. Additionally, this study sought to draw comparisons between the experiences of cybersecurity incident responders and their counterparts in traditional emergency response roles. Semi-structured interviews were conducted with a cohort of 22 individuals with first-hand experience working …
All Quiet On The Digital Front: The Unseen Psychological Impacts On Cybersecurity First Responders, Tammie R. Hollis
All Quiet On The Digital Front: The Unseen Psychological Impacts On Cybersecurity First Responders, Tammie R. Hollis
USF Tampa Graduate Theses and Dissertations
Driven by the increasing frequency of cyberattacks and the existing talent gap between industry needs and skilled professionals, this research study focused on the crucial human element in the domain of cybersecurity incident response. The objective of this dissertation was to offer a meaningful exploration of the lived experiences encountered by cybersecurity incident responders and an assessment of the subsequent impacts on their well-being. Additionally, this study sought to draw comparisons between the experiences of cybersecurity incident responders and their counterparts in traditional emergency response roles. Semi-structured interviews were conducted with a cohort of 22 individuals with first-hand experience working …
Refining The Machine Learning Pipeline For Us-Based Public Transit Systems, Jennifer Adorno
Refining The Machine Learning Pipeline For Us-Based Public Transit Systems, Jennifer Adorno
USF Tampa Graduate Theses and Dissertations
According to the Population Division of the United Nations, in the United States, almost 90% of the population will live in urban areas by the year 2050. As the population in a given area increases, higher traffic congestion follows due to an increase of vehicles in the road. A possible way to alleviate congestion could be with widespread use of public transit. However, according to the US Census Bureau, the percentage of individuals commuting through public transportation has been decreasing steadily over time, and the American Community Survey reports that during 2019, only around five percent of the US population …
Refining The Machine Learning Pipeline For Us-Based Public Transit Systems, Jennifer Adorno
Refining The Machine Learning Pipeline For Us-Based Public Transit Systems, Jennifer Adorno
USF Tampa Graduate Theses and Dissertations
According to the Population Division of the United Nations, in the United States, almost 90% of the population will live in urban areas by the year 2050. As the population in a given area increases, higher traffic congestion follows due to an increase of vehicles in the road. A possible way to alleviate congestion could be with widespread use of public transit. However, according to the US Census Bureau, the percentage of individuals commuting through public transportation has been decreasing steadily over time, and the American Community Survey reports that during 2019, only around five percent of the US population …
Human Vs Machine: Hyper-Realistic Avatars And Their Efficacy As A Communication Channel, Jill S. Schiefelbein
Human Vs Machine: Hyper-Realistic Avatars And Their Efficacy As A Communication Channel, Jill S. Schiefelbein
USF Tampa Graduate Theses and Dissertations
Hyper-realistic avatars (HRAs), a form of synthetic media, are custom-created digital embodiments of a human, created by capturing and combining that person’s video and vocal likeness. This is the first known study of the efficacy of videos delivered by hyper-realistic avatars as a communication channel in comparison to videos delivered by their human counterparts. An experiment testing how information retention, engagement, and trust vary between viewers of videos delivered by a real human, videos delivered by the HRA representing that same human, and videos delivered by the HRA that discloses to viewers that it is a hyper-realistic avatar is presented. …
Human Vs Machine: Hyper-Realistic Avatars And Their Efficacy As A Communication Channel, Jill S. Schiefelbein
Human Vs Machine: Hyper-Realistic Avatars And Their Efficacy As A Communication Channel, Jill S. Schiefelbein
USF Tampa Graduate Theses and Dissertations
Hyper-realistic avatars (HRAs), a form of synthetic media, are custom-created digital embodiments of a human, created by capturing and combining that person’s video and vocal likeness. This is the first known study of the efficacy of videos delivered by hyper-realistic avatars as a communication channel in comparison to videos delivered by their human counterparts. An experiment testing how information retention, engagement, and trust vary between viewers of videos delivered by a real human, videos delivered by the HRA representing that same human, and videos delivered by the HRA that discloses to viewers that it is a hyper-realistic avatar is presented. …
A Psychometric Analysis Of Natural Language Inference Using Transformer Language Models, Antonio Laverghetta Jr.
A Psychometric Analysis Of Natural Language Inference Using Transformer Language Models, Antonio Laverghetta Jr.
USF Tampa Graduate Theses and Dissertations
Large language models (LLMs) are poised to transform both academia and industry. But the excitement around these generative AIs has also been met with concern for the true extent of their capabilities. This dissertation helps to address these questions by examining the capabilities of LLMs using the tools of psychometrics. We focus on analyzing the capabilities of LLMs on the task of natural language inference (NLI), a foundational benchmark often used to evaluate new models. We demonstrate that LLMs can reliably predict the psychometric properties of NLI items were those items administered to humans. Through a series of experiments, we …
Detection Of Subsidence In West-Central Florida Using Persistent Scatterer Interferometry And Near-Surface Geophysics, Tonian R. Robinson
Detection Of Subsidence In West-Central Florida Using Persistent Scatterer Interferometry And Near-Surface Geophysics, Tonian R. Robinson
USF Tampa Graduate Theses and Dissertations
This dissertation consists of three studies that employ Persistent Scatterer Interferometry (PSI, also known as PSInSAR) to better understand how subsidence in west-central Florida relates to underlying geological processes. In the first study, near-surface geophysical methods (Ground Penetrating Radar (GPR) and Electrical Resistivity (ERT)), terrestrial remote sensing applications (Light Detection and Ranging (LiDAR) and Structure from Motion (SfM)), and PSI were used to monitor the spatial and temporal behaviors of a suspected growing sinkhole in the Sandhill Boyscout Reservation, Hernando County, Florida. The survey area was located within and around a topographic low assumed to be the surface of the …
The Applicability Of The Postmortem Submersion Interval Estimation Formula For Human Remains Found In Subtropical Aquatic Environments, Kara L. Dicomo
The Applicability Of The Postmortem Submersion Interval Estimation Formula For Human Remains Found In Subtropical Aquatic Environments, Kara L. Dicomo
USF Tampa Graduate Theses and Dissertations
Within the past decade, several attempts have been made to standardize a method for estimating postmortem submersion intervals (PMSI); however, the majority of these studies have focused on data from a temperate climate which cannot be taken as representative of large portions of the globe. Thus, there are large portions of the earth in which the methodology from these studies may not be able to accurately estimate PMSI which has the potential to leave investigators in these other climatic zones at a disadvantage. This presentation presents a case study into the applicability of two Total Body Scoring Systems (TADS) utilized …
What Senior U.S. Leaders Say We Should Know About Cyber, Dr. Joseph H. Schafer
What Senior U.S. Leaders Say We Should Know About Cyber, Dr. Joseph H. Schafer
Military Cyber Affairs
On April 6, 2023, the Atlantic Council’s Cyber Statecraft Initiative hosted a panel discussion on the new National Cybersecurity Strategy. The panel featured four senior officials from the Office of the National Cyber Director (ONCD), the Department of State (DoS), the Department of Justice (DoJ), and the Department of Homeland Security (DHS). The author attended and asked each official to identify the most important elements that policymakers and strategists must understand about cyber. This article highlights historical and recent struggles to express cyber policy, the responses from these officials, and the author’s ongoing research to improve national security cyber policy.
Predicting Groundwater Spring Locations From Topographic And Climatic Data Using Maxent Modeling, Ayten Ece Koc
Predicting Groundwater Spring Locations From Topographic And Climatic Data Using Maxent Modeling, Ayten Ece Koc
USF Tampa Graduate Theses and Dissertations
The World Resources Institute reveals that 17 countries face extremely high levels of water stress. Moreover, with increasing population and industrialization, the gap between water supply and demand increases day by day around the world. Groundwater is a key freshwater source, and springs are important resources as they enable to access groundwater. Therefore, it is crucial to monitor, protect, and manage groundwater springs. The first step in spring management is to recognize and define freshwater resources and to determine the locations of groundwater springs that serve as natural discharge points. Traditionally, field studies have been employed to determine the locations …
Exploring Time-Varying Extraneous Variables Effects In Single-Case Studies, Ke Cheng
Exploring Time-Varying Extraneous Variables Effects In Single-Case Studies, Ke Cheng
USF Tampa Graduate Theses and Dissertations
The effect of time-varying extraneous variables has been studied in other statistical analyses such as using Kaplan–Meier or Cox regression analysis in survival analyses. Nonetheless, the effect of modeling versus not modeling individual specific time varying extraneous variables has not been explored in multiple-baseline single case designs through Monte Carlo simulation studies. Therefore, in my dissertation, I used simulation methods to explore for a variety of conditions (varying in the number of participants, number of observations per participant, type of extraneous variable effect, size of the true intervention effect) the impact of extraneous variables on bias and standard error of …
Prepare For, Respond To, Recover, And Learn From Disasters: Using Data-Driven Methods To Model And Understand Disaster Resilience, Jinwen Xu
USF Tampa Graduate Theses and Dissertations
Community resilience reflects the ability of human communities to prepare for, respond to, recover, and learn from disastrous events. Community resilience carries different meanings in different phases of disaster management (i.e., preparedness, response, recovery, and mitigation). With the emergence of new geospatial data sources, human activities now can be captured through social media, mobile signals, and nighttime illuminations, which makes it possible to describe the conditions among various communities before, during, and after disasters. Therefore, this dissertation explored the use of different types of geospatial data sources (social media, nighttime light remote sensing, land-use data, and census survey data) during …
Beyond Statistical Significance: A Holistic View Of What Makes A Research Finding "Important", Jane E. Miller
Beyond Statistical Significance: A Holistic View Of What Makes A Research Finding "Important", Jane E. Miller
Numeracy
Students often believe that statistical significance is the only determinant of whether a quantitative result is “important.” In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction, causality, generalizability, and changeability of the independent variable. I illustrate these issues with examples from an empirical study of the association between how much time teenagers spent playing video games and time spent reading. I describe how study design and context determine each of those aspects of “importance,” and close by summarizing how to provide a …