Digital Commons Network^™

11.18.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Director of Research Lab Safety

GIS Day

Tech Startup Weekend

NSF Virtual Grants Conference

Performance And Trihalomethane Formation Potential Of Alternative Electron Donors For Wastewater Denitrification, Bruno Fulco Mancini

USF Tampa Graduate Theses and Dissertations

Nitrogen removal from wastewater is critical to preserve ecosystems, as well as human health and welfare. Excess nutrients in receiving waters can cause many problems to the environment, such as algal blooms, drinking water contamination, and economic losses. Nitrogen removal in wastewater occurs mainly through the oxidation and reduction processes of nitrification and denitrification, which occur in engineered systems at wastewater treatment plants or water reclamation facilities.

The site for this research was the South Cross Bayou (SCB) Water Reclamation Facility, located in Pinellas County, FL, USA. At SCB, nitrogen is removed through a Modified Ludzak-Ettinger (MLE) process with the …

Changing Characteristics Of Land Cover, Landscape Pattern And Ecosystem Services In The Bohai Rim Region Of China, Jiaqi Liu, Wei Chen, Hu Ding, Zhanhang Liu, Min Xu, Ramesh P. Singh, Congqiang Liu

Mathematics, Physics, and Computer Science Faculty Articles and Research

Since the Anthropocene, ecosystems have been continuously deteriorating due to global climate change and human intervention. Exploring the changing characteristics of land use/land cover (LULC), landscape pattern and ecosystem service (ES) and their drivers is crucial for regional ecosystem management and sustainable development. Taking the Bohai Rim region of China as an example, we used the land use transfer matrix, landscape pattern index and InVEST model to analyze the changing characteristics of LULC, landscape pattern and six key ESs [crop production (CP), water yield (WY), carbon storage (CS), soil conservation (SC), habitat quality (HQ), landscape aesthetics (LA)] during 2000–2020. Detailed …

Dualrep: Knowledge Graph Completion By Utilizing Dual Representation Of Relational Paths And Tail Node Density Insights, Haji Gul, Feras Al-Obeidat, Adnan Amin, Muhammad Wasim, Fernando Moreira

All Works

Knowledge graphs (KGs) possess a vital role in enhancing the semantic comprehension of extensive datasets across many fields. It facilitate activities like recommendation systems, semantic searching, and intelligent data mining. However, lacking information can sometimes limit the usefulness of knowledge graphs (KGs), as the lack of relationships between entities could severely limit their practical application. Most existing approaches for KG completion primarily concentrate on embedding-based methods or just use relational paths, neglecting the valuable structural information offered by node density. This research presents an approach that effectively combines relational paths and the density features of tail nodes to enhance the …

Implementing Bernstein Operational Matrices To Solve A Fractional‐Order Smoking Epidemic Model, Jalal Al Hallak, Mohammed Alshbool, Ishak Hashim

All Works

This paper leverages the Bernstein operational matrices method for the first time in order to resolve the nonlinear fractional smoking epidemic model presented in terms of Caputo’s fractional derivative. An approximate solution is derived using Bernstein’s operational matrices and strategically chosen collocation points. This is followed by the validation of the proposed method’s accuracy and reliability against the established Runge–Kutta fourth‐order method. Furthermore, a comprehensive comparative analysis is conducted against two prominent techniques: the fractional differential transform method (FDTM) and the q‐homotopy analysis transform method (q‐HATM). The results show a superior and significant performance regarding accuracy as well as approximation. …

Emerging Consensus On Net Energy Paves The Way For Improved Integrated Assessment Modeling, Louis Delannoy, Matthieu Auzanneau, Baptiste Andrieu, Olivier Vidal, Pierre -Yves Longaretti, Emmanuel Prados, David J. Murphy, Roger W. Bentley, Michael Carbajales- Dale, Marco Raugei, Mikael Ho¨O¨K, Victor Court, Carey W. King, Florian Fizaine, Pierre Jacques, Matthew Kuperus Heun, Andrew Jackson, Charles Guay- Boutet, Emmanuel Aramendia, Jianliang Wang, Hugo Le Boulzec, Charles A.S. Hal

University Faculty Publications and Creative Works

Extracting, processing, and delivering energy requires energy itself, which reduces the net energy available to society and yields considerable socioeconomic implications. Yet, most mitigation pathways and transition models overlook net energy feedbacks, specifically related to the decline in the quality of fossil fuel deposits, as well as energy requirements of the energy transition. Here, we summarize our position across 8 key points that converge to form a prevailing understanding regarding EROI (Energy Return on Investment), identify areas of investigation for the Net Energy Analysis community, discuss the consequences of net energy in the context of the energy transition, and underline …

Understanding The Plastic Issue (Poster Presentation), Regan Bossie, Peter Nguyen, John Mcswiggin, Adam Meadows

Sustainability Conference

The Plastic-Free Campus Initiative is an Embry-Riddle initiative advocating for the reduction and elimination of single-use plastics on the Daytona Beach campus.

Our poster presentation aims to highlight current issues and concerns by presenting plastic production trends, quantifying how plastic pollution has affected global ecosystems, and discussing the material characteristics of plastics and their consequences. The poster will provide an overview of the current state of global recycling and will outline key concerns that microplastics, and plastics in general, pose to public health. By presenting the current facts and concerns related to plastic and recycling, we hope to encourage individuals …

Increasing Wildfire Preparedness Through Defensible Space Training For The Private Sector, Christina Restaino, Spencer Eusden

Journal of Extension

There is a large effort across the United States to create fire adapted communities which are communities that are resilient to wildfire and are safe for firefighters to defend. These communities need adequate defensible space to become fire adapted, but the capacity to perform the work is low. A skilled workforce trained in defensible space can increase capacity and help communities be more prepared. We created a defensible space certification training program for landscape architects and contractors. The training is a way to increase our collective capacity to address the wildfire issue in Northern Nevada and across the West.

The Santa Clara, 2024-11-15, Santa Clara University

The Santa Clara

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Second Quarter 2023 (Dated October 15, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit, Butte Reclamation Evaluation System Draft 2024 Field Evaluation Of Previously Reclaimed Sites Summary And Technical Recommendations Report, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Improving College Students’ Attention Retention With A Brain-Controlled Drone Simulation, Ji Won Bae

USF Tampa Graduate Theses and Dissertations

In contemporary society, individuals are continuously exposed to a plethora of stimuli, which can precipitate distractions and impede cognitive performance in tasks such as professional work and academic studies. This investigation proposes an innovative approach aimed at enhancing attentional focus through the utilization of Brain-Computer Interfaces (BCI). BCIs represent advanced methodologies for deciphering neural activity patterns. Specifically,electroencephalography (EEG), a technique for monitoring the brain's electrical signals, serves as the foundation for BCI applications. EEG analyses reveal distinctive wave patterns indicative of states of concentration, vigilance, and cognitive engagement. Consequently, BCIs hold promise for the real-time assessment of users' attentional states. …

Re: Comment Letter For Bpsou Draft Phase I Design Investigation Evaluation Report (Dated September 25, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Qualitative Study On Hydrocarbon Contamination In Cpo_A Case Study Of A Palm Oil Mill Based In Sumatera_Indonesia, Kanagasabai Narayanan, Jamalludin Helmi Hashim, Shirley Sie Ling Tan

Jesselton Journal of Educators and Scholars

This study addresses hydrocarbon contamination in Crude Palm Oil (CPO) from Sumatera, Indonesia, focusing on identifying sources, establishing acceptable levels, and proposing mitigation strategies. Key challenges include high costs of alternative lubricants and limited awareness among small-scale producers. The research employs a comprehensive approach, including data collection from Palm Oil Mills, interviews with RSPO auditors and Palm Oil Managers, and Hazard Analysis and Critical Control Point (HACCP) implementation. Findings reveal contamination sources such as gear oil and plastic containers, with recommendations including enhanced equipment maintenance, awareness campaigns, and stricter regulations. The study emphasizes the importance of collaboration, regulatory compliance, and …

Re: Comment Letter For Bpsou Draft Phase I Design Investigation Evaluation Report (Dated September 25, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Ionic Nanomedicines And Biocompatible Hydrogel: Synthesis, Characterization And Application In Cancer And Drug Delivery, Mujeebat Bashiru

Theses and Dissertations

This dissertation is focused on the development of novel class of ionic materials (IMs), and ionic nanomedicines (INMs) for cancer treatment. These IMs are composed of two therapeutics combined via electrostatic attraction. The impact of various counterions on the drug’s cytotoxic and photophysical properties are unveiled. Moreover, the mechanism of internalization, enhanced toxicity of these materials is investigated by determining their cellular uptake, subcellular localization, and cell death mechanism. Furthermore, the in vivo bioimaging capabilities of the drugs is investigated to validate their potential for clinical relevance. The second part of this dissertation is focused on the synthesis of biocompatible …

Place-Based Conservation In Coastal And Marine Ecosystems: The Importance Of Engagement With Underrepresented Communities, Viniece Jennings, Kelly M. San Antonio, Mya J. Brown, Lalah Choice, Queriah Simpson, Imani Ford, Hyun Jung Cho, Pedro Solis, Ashley Lacey, De’Marcus Robinson

School of Earth, Environmental, & Marine Sciences Faculty Publications

Through the years, research has described the importance of community-based approaches in the management of coastal and marine ecosystems. Coastal and marine issues are multifaceted and require place-specific approaches developed in partnership with vulnerable communities who are impacted by environmental stressors. Place-based conservation, a management approach that focuses on unique, place-specific characteristics, and other similar methods. It considers the need to integrate human dimensions and location-centered approaches, which are often lacking in typical natural resource management. Meaningful engagement with underrepresented communities can holistically account for socioeconomic factors and cultural knowledge that inform best management practices. As the health of marine …

Re: Comment Letter For Draft Clark Tailings Consolidated Waste Management Area (Ctcwma) Site Investigation Draft Data Summary Report 2019-2023 (Dated October 3, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Comment Letter For Bpsou Draft Phase I Design Investigation Evaluation Report (Dated September 25, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Biological Control For One Health, Urs Schaffner, George E. Heimpel, Nicholas J. Mills, Beatrice W. Muriithi, Matthew B. Thomas, Yubak D. Gc, Kris A.G. Wyckhuys

All Peer-Reviewed Publications

Biological control has been effectively exploited by mankind since 300 CE. By promoting the natural regulation of pests, weeds, and diseases, it produces societal benefits at the food-environment-health nexus. Here we scrutinize biological control endeavours and their social-ecological outcomes through a holistic ‘One-Health’ lens, recognizing that the health of humans, animals, plants, and the wider environment are linked and interdependent. Evidence shows that biological control generates desirable outcomes within all One Health dimensions, mitigating global change issues such as chemical pollution, biocide resistance, biodiversity loss, and habitat destruction. Yet, its cross-disciplinary achievements remain underappreciated. To remedy this, we advocate a …

Alabama Agricultural Producers’ Experiences With Wild Pigs (Sus Scrofa) And Their Preferences Concerning Wild Pig Management, Hailey E. Ellis, Luren M. Jaebker, Alan D. Bright, Mark D. Smith, Keith M. Carlisle

United States Department of Agriculture Wildlife Services: Staff Publications

Government agencies and landowners use a variety of lethal methods to reduce invasive wild pig populations and resulting agricultural damages. To provide decision-makers with information regarding Alabama farmers’ experiences with wild pigs and their preferences for management actions, we surveyed Alabama Farmers Federation members in 2020. We found that wild pigs were commonly present on livestock, timber, and crop production acreage, but wild pig damages and costs were much more common among crop producers. Respondents' wildlife acceptance capacity for wild pigs was low and all lethal control methods were considered aceptable by most reposndents, particularly those performed by landowners. While …

Intersections Of Living And Machine Agencies: Art-Based Models Of Adaptive Conversation With The More-Than-Human World, Carlos Castellanos

Tradition Innovations in Arts, Design, and Media Higher Education

Today’s AI systems are not built to have reciprocal interplay with their environments and thus they demonstrate little interest in emergence, adaptation or developing mutually productive relationships with the natural world. Is a different kind of AI possible? How can artists contribute to its development? In this essay, I will discuss ways in which the arts might help guide us towards a new kind of AI, built upon adaptive conversation (i.e. shared construction of meaning) with nature. I will discuss how can work with AI while also challenging its prevailing ontology, and even suggest alternative ontologies and epistemologies. I will …

Re: Butte Mine Flooding Site Cd, Cv 02-35 Bu-Rfc, 2024 Third Quarter Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Internet Of Medical Things: Integrating Machine Learning And Wearables For Healthcare, Jingwen Zhang

McKelvey School of Engineering Graduate Student Theses & Dissertations

The Internet of Medical Things (IoMT), which integrates Internet of Things technologies into healthcare, has become a powerful tool for enhancing health monitoring and predicting clinical outcomes. By leveraging wearable devices, IoMT facilitates continuous, cost-effective, and convenient tracking of patients' health conditions over time. This dissertation applies data-driven methods to address critical clinical challenges involving wearable devices. Specifically, it focuses on three significant clinical problems: (1) indoor contact tracing for healthcare workers using Bluetooth Low Energy (BLE) beacons, (2) predicting surgical outcomes using wearable data, and (3) developing robust models for surgical outcome prediction that account for patient variability using …

Internet Of Medical Things: Integrating Machine Learning And Wearables For Healthcare, Jingwen Zhang

McKelvey School of Engineering Graduate Student Theses & Dissertations

The Internet of Medical Things (IoMT), which integrates Internet of Things technologies into healthcare, has become a powerful tool for enhancing health monitoring and predicting clinical outcomes. By leveraging wearable devices, IoMT facilitates continuous, cost-effective, and convenient tracking of patients' health conditions over time. This dissertation applies data-driven methods to address critical clinical challenges involving wearable devices. Specifically, it focuses on three significant clinical problems: (1) indoor contact tracing for healthcare workers using Bluetooth Low Energy (BLE) beacons, (2) predicting surgical outcomes using wearable data, and (3) developing robust models for surgical outcome prediction that account for patient variability using …

Editorial: Leveraging Multi-Omics Approaches To Understand And Manage Gastrointestinal And Hepatic Diseases, Isis Trujillo-Gonzalez, Paul G. Thomes, Isin Tuna Sakallioglu, Kusum K. Kharbanda

Department of Chemistry: Faculty Publications

The Research Topic “Leveraging multi-omics approaches to understand and manage gastrointestinal and hepatic diseases” proposed by the Frontiers in Pharmacology has attracted a total of four articles on preclinical studies that were covered in three original research manuscripts and one review article. Two research articles were on metabolic dysfunction-associated steatotic liver disease (MASLD), previously named non-alcoholic fatty liver disease (NAFLD), which is now recognized as a predominant cause of chronic liver disease worldwide, affecting over 30% of the adult population (Teng et al., 2023; Miao et al., 2024). Current pharmacological treatments for MASLD are limited and, until a recent FDA-approved …

Misinformation, Fraud, And Stereotyping: Towards A Typology Of Harm Caused By Deepfakes, Paulina Trifonova , '25, Sukrit Venkatagiri

Computer Science Faculty Works

Scholars, politicians, and journalists have raised alarm over the potential for AI-generated photos, video, and audio—often referred to as deepfakes—to reduce trust in one another and our institutions. Despite these clarion calls, little empirical work exists on how deepfakes are being used to harm individuals outside of non-consensual intimate imagery (NCII). This research provides a preliminary analysis of 50 wide-ranging incidents of deepfake harm. We find that the most common types of harm are relational, systemic, financial, and emotional. Apart from AI-generated NCII, the most prevalent uses of deepfakes to cause harm were instances of mis- and disinformation, fraud, and …

Video Label Refinement And Temporal Localization Using Motion Signal Patterns, Jennifer Piane

College of Computing and Digital Media Dissertations

Performing video analysis for activity recognition presents challenges beyond classification, including obtaining class labels and performing temporal localization. One such challenge is precisely labeling a video with class labels having the exact start and end frames of an activity - a difficult task for a human to perform. Moreover, the task of annotating a video at any level of precision can quickly become tedious, impacting the attentiveness of the annotator and resulting in class label errors. Temporally localizing an activity within a video presents a second challenge. This dissertation investigates novel signal and image processing methods for motion features extracted …

Analyzing And Extending Machine Learning Frameworks On High Risk Domains, Chengbin Hu

USF Tampa Graduate Theses and Dissertations

Machine learning (ML) has become a transformative force in high-risk domains such as genomics and cybersecurity, where accurate predictions and robust defenses are essential. This dissertation advances ML frameworks in these areas by developing methods to enhance predictive power in health applications and assess vulnerabilities in machine learning systems.

In the genomics field, the work addresses challenges in Non-Invasive Prenatal Testing (NIPT) of monogenic disorders by proposing a deep learning model that reconstructs the fetal genome using maternal plasma cell-free DNA (cfDNA) and parental whole-genome sequencing (WGS) data. This model achieves high accuracy in single nucleotide variation (SNV) prediction, surpassing …

Flowgpt: Exploring Domains, Output Modalities, And Goals Of Community-Generated Ai Chatbots, Xian Li, Yuanning Han, Di Liu, Pengcheng An, Shuo Niu

Computer Science

The advent of Generative AI and Large Language Models has not only enhanced the intelligence of interactive applications but also catalyzed the formation of communities passionate about customizing these AI capabilities. FlowGPT, an emerging platform for sharing AI prompts and use cases, exemplifies this trend, attracting many creators who develop and share chatbots with a broader community. Despite its growing popularity, there remains a significant gap in understanding the types and purposes of the AI tools created and shared by community members. In this study, we delve into FlowGPT and present our preliminary findings on the domain, output modality, and …