Digital Commons Network^™

Metapopulation Model For Oyster Restoration, Leah Shaw

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Chu] Modelling The Effect Of Disturbed Blood-Feeding On Mosquito-Borne Disease Transmission, Kyle Dahlin, Michael Robert, Lauren Childs

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Image Data From: Prototyping Deep Transfer Learning Classification Of Holographic Plankton Imagery, Kairan Cursons, Pierre Hélaouët, William H Wilson, Rob Camp, Alex Nimmo Smith

Faculty of Science and Engineering Datasets

Data used for the training and evaluation of Convolution Neural Networks (CNN) for the accompanying paper. Paper Abstract: The Continuous Plankton Recorder (CPR) is an autonomous plankton sampling platform towed by volunteer vessels along their standard routes, facilitating long-term, monthly sampling across extensive geographic areas. The integrated Continuous Plankton Recorder (iCPR) enhances the traditional CPR survey with new data by utilising the CPR sampler as a platform to deploy new technologies in modular self-powered packages, including high-resolution digital plankton imaging through a bespoke holographic camera. This paper presents the development of a computational pipeline for the preprocessing and classification of …

Red Snapper (Lutjanus Campechanus) Neurocranium, Sarah Hendricks, Morgan Indyk, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Energy Input-Output Meta-Analysis Reveals Algal Diesel Struggles To Break Even (Supplemental Information), Michelle Arnold

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1. Algal biofuels have been investigated as an alternative to traditional fossil fuels for transportation in the United States since the 1970s. Yet after five decades of development, scalability and implementation remain limited. To evaluate the state of progress, this study harmonized energy inputs and outputs across 39 papers, encompassing 508 observations on the production of algal biofuel energy return on energy investment (EROEI) in the United States. The analysis produced a mean EROEI of 1.01—essentially the break-even point—irrespective of system boundaries. This is lower than bioethanol (2.8) and far below oil (8.7). Life-cycle analysis results showed that hydrothermal liquefaction in …

Increasing Complexity Leads To Declining Productivity Of Innovation In The Algal Biofuel Industry (Supplemental Information), Michelle Arnold

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Liquid biofuels are widely promoted as renewable, lower-emission alternatives to fossil fuels. Yet despite their promise, this sector faces a critical constraint: a long-term decline in the productivity of innovation. This decline—measured by a decreasing number of patents per inventor—suggests that generating technological breakthroughs is becoming more difficult, expensive, and uncertain. As innovation becomes more resource-intensive, the feasibility of replacing petroleum with liquid biofuels grows more tenuous. This is especially problematic given the pre-existing technical disadvantages of biofuels, including their relatively low energy return on energy investment (EROEI) and energy density compared to fossil fuels. Our findings show that the …

Data Accompanying "Landscape Composition Surrounding Restoration Projects Modulates Use By Wildlife: A Case Study Of Mule Deer In Utah", Jaylin Solberg

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With mule deer (Odocoileus hemionus), hereafter, deer, populations in decline, wildlife managers have increased their efforts to improve factors that limit population growth. In the State of Utah (hereafter, Utah), these efforts have included habitat restoration which is expected to improve environmental conditions for deer. Some of these efforts include pinon-juniper removal, prescribed burning, and spraying of invasive plant species. Although previous work has demonstrated the local impacts of restoration on deer populations, it is unknown how the environmental conditions in the landscape surrounding restoration treatments may modify local restoration impacts. Identifying how both local and landscape-scale conditions influence deer …

Data And Code Used For The Manuscript, "Robust Native Aquatic Plant Propagule Banks Limit Curly-Leaved Pondweed", Meghan Slocombe

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The relationship between the invasive curly-leaf pondweed (CLP) and native aquatic plants was explored via a sixteen month mesocosm experiment and annual surveys of the passive revegetation of the newly restored Provo River Delta (Utah, USA) (PRD). These studies took place in 2023 and 2024.

Red Snapper (Lutjanus Campechanus) Neurocranium, Riley B. Glogowski, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Abdominal Ultrasound Image Dataset For Organ Classification And Disease Detection, Sifat Zina Karim

Research Data

This is a dataset of Ultrasound (US) images of abdominal organs. US imaging is widely accessible and a very common diagnostic tool, as it is non-invasive and does not involve radiation risk. This dataset was curated solely for research in deep learning, with potential applications in supervised, semi-supervised, and unsupervised learning to support disease detection in resource-constrained settings.

The dataset comprises 5,468 unique images of different abdominal organs, namely: Abdominal Aorta (0), Gallbladder (1), Hepatic Vein (2), Kidneys (3), Liver (4), Ovaries (5), Pancreas (6), Portal Vein (7), Spleen (8), and the Urinary System (9), which includes the Urinary Bladder, …

A New Scheme For Simple Asymmetric Bivariate Copulas And Applications, Rachid Bentoumi, Farid El Ktaibi, Christophe Chesneau

All Works

Bivariate copulas play a central role in modeling the dependence structure between two random variables and serve as a fundamental tool in various applied fields. In this article, we develop a new theoretical framework aimed at constructing simple asymmetric bivariate copulas of the form C(u, v) = uv [ϕ(v) + u(1 − ϕ(v))^], (u, v) ∈ [0, 1]². This framework relies on a tuning univariate function to achieve the desired asymmetry. We study this pioneering scheme, emphasizing its theoretical foundations, and illustrating it with several examples. More precisely, we establish important properties of the proposed copulas …

Charlotte Dickerson, Mark Naison, Steven Payne

Oral Histories

Oral history recorded for the Bronx African American History Project on August 26, 2020 with Charlotte Dickerson, who grew up in the United Workers Cooperative Colony, or the Allerton Coops, during the 1950s and 1960s. Her mother, Dr. Angie Dickerson, was an African American human rights, peace, and African independence activist as well as a member of the Communist Party U.S.A., the Civil Rights Congress, the World Peace Council, the National Association of Negro Business and Professional Women, and other organizations. In her oral history, Charlotte speaks about her childhood in the Coops with her mother, father Buddy, and brother …

Marion "Tiny" Frampton, Wildman, And Mike Sherman - Part 1, Mark Naison, Steven Payne

Oral Histories

Part 1 of an oral history with former Black Spades members Marion “Tiny” Frampton, “Wildman,” and Mike Sherman. All three are now leaders of TBS New Direction, a community safety nonprofit founded by Frampton that works with former gang members to make a positive impact on the youth. The interview was conducted by Dr. Steven Payne, Director of the Bronx County Historical Society, and Dr. Mark Naison, Director of the Bronx African American History Project.

Tiny, Wildman, and Mike talk about the conditions in the Bronx in the late 1960s and early ‘70s that led them to join the Black …

Efficient Smooth Tensor Train And Tensor Ring Completion For Image Classification Enhancement, Salman Ahmadi-Asl, Roman V. Garaev, Rustam A. Lukmanov, Naeim Rezaeian, Asad Masood Khattak, Manuel Mazzara

All Works

This paper deals with studying the data completion problem for enhancing the image classification task under the pixel removal scenario. In some applications, it happens that a part of the pixels of a given image is lost due to several issues, such as corruption by outliers or artifacts and/or incompleteness due to imprecise data acquisition. This issue results in a completely wrong classification outcome using Deep Neural Networks (DNNs). In this paper we investigate the benefit of data completion in enhancing the classification accuracy of the DNN models to build more robust and stable DNN models. To this end, we …

Rare Case Of Acute Haemorrhagic Rectal Ulcer Case Report, Zaim Gashi, Valon Hamza

UBT International Conference

Acute hemorrhagic rectal ulcer (AHRU) is a relatively rare disease that can lead to massive hematochezia. It presents as a sudden and brisk painless bleed that is common among elderly patients who have chronic conditions such as coronary artery diseases associated with the use of anti-platelets, diabetes mellitus, hypoalbuminemia, liver diseases, sepsis, stroke, and chronic renal failure on hemodialysis. Here, we report a first case of acute hemorrhagic rectal ulcer in our country, with the above-mentioned risk factors and succsessfully endoscopic hemostatic treatment via dual combination therapy wich consist in dilute epinephrine injection and clipsing with finally achieved hemostasis from …

Fear Of Hunger (Foh) Survey Data, 2024: Multi-Country Telephone Survey On Food Security And Migration In The Sahel And Central America, Domenico Parisi, Shrinidhi Ambinakudige, Christian Kelly Scott, Arif Husain, Jessica Harmer, Ève Chalifour

Research Data

This database underpins the analysis of the Fear of Hunger (FOH) Hypothesis, based on a large-scale telephone survey conducted between April and August 2024 across eight countries—Burkina Faso, Chad, El Salvador, Guatemala, Honduras, Mali, Niger, and Nigeria. The dataset includes 12,000 nationally representative adult respondents (1,500 per country) aged 18 and above. The survey instrument, translated into multiple local languages, collected detailed demographic, socioeconomic, and attitudinal information related to food security and migration. Core variables encompass WillMove (migration intention), MovePlace (international vs. internal migration), Score1–Score5 (five FOH levels from minimal to extreme), Age, Gender, Marital Status, Education …

Dataset For Icesat-2 Atl06_Sr Derived Snow Depth Transects Of Idaho Watersheds: Reynolds Creek, Banner Summit, Mores Creek, And Dry Creek (2018-2024), Karina Zikan, Ellyn M. Enderlin

CryoGARS Snow Data

This dataset contains geolocated customized ICESat-2 ATL06 data calculated from ATL08 classified ground photon returns calculated using the SlideRule EarthData package; snow free reference elevations calculated from snowfree airborne lidar digital terrain models (DTMs); mean DTM slopes; snow cover status; and calculated ICESat-2 snow depths for four mountainous Idaho sites: Reynolds Creek, Banner Summit, Mores Creek, and Dry Creek. Datasets have reference DTM elevations calculated without co-registration between the ICESat-2 data and the reference DTMs, an aggregated co-registration, and an individual co-registration. Snow cover was classified using the "glacier-snow-cover-mapping" package applied to near co-incident Landsat 8/9 and Sentinel-2 imagery. All …

Data For: "Alongshore Setup Gradients Drive Reef Flat Currents On A Coral Atoll Island", Ashley Holsclaw, Mathilde Lindhart, Gerd Masselink

Faculty of Science and Engineering Datasets

This study presents extensive in situ observations from a coral atoll island in the Maldives to investigate the alongshore variability of wave setup and reef flat currents driven by heterogeneity in morphology and wave forcing. The island’s diverse reef morphology provided an ideal natural laboratory for assessing its impact on spatial hydrodynamic variability. Results indicate that shoreline wave setup increased with incident wave height and low reef flat water levels, regardless of reef geometry. Despite the significant variations in topography, bathymetry, and wave exposure, theoretical predictions of wave setup using existing parameterizations demonstrated strong agreement with observations across three distinct …

Impact Of High-Protein, Low-Calorie Diet On Anthropometric Indices, Glycation, And Inflammation Associated With The Fat Mass And Obesity (Fto) Gene Among Individuals With Overweight/Obesity, Bibi Hajira, Bismillah Sehar, Fakhrunisa, Sami Siraj, Muhammad Omar Malik, Huma Naqeeb, Ali Madi Almajwal, Sharifa Alblooshi, Hayder Hasan, Iftikhar Alam, Falak Zeb, Fahad Lodhi

All Works

Background: The common polymorphism rs9939609 of the fat mass and obesity gene (FTO) has been associated with increased susceptibility to obesity, but this association appears to be modified by diet. High protein diets have been shown to reduce weight and may increase the formation of circulating advanced glycation end products (AGEs). Obesity, on the other hand, is also associated with increased formation of AGEs, leading to oxidative stress and inflammation. Objectives: This study was designed to investigate the impact of a high-protein and low-calorie (HPLC) diet on anthropometric indices and circulating AGEs levels associated with the FTO variant rs9939609 among …

Jumpstart Version0.1, Peter Brauninger

Game Design

Game Prototype for Learning the development of a full game

Pearanormal Reporter, Zakayla Bailey

Game Design

Pearanormal Reporter is a mystery/horror game with a fun twist. Play as a paranormal reporter, Peary the Pear, to figure out what happened at Fruitington Manor. Explore the manor to find clues about the suspect, location and cursed item used. Get all information correct to win the game. Just be careful of the evil Orange Entity that roams the manor. Game created for GAM 56800. Built in Unity.

Penguin Run, Lillian Mantz

Game Design

Penguin Run is a flappy bird inspired platformer. The goal is to collect coins and avoid the ice spikes.

Dungeon Escape, Andrew Begemann

Game Design

This game was developed during a GAM 56800 course taken in the first half of the 2025 school year. The game prototype features a player that moves though a procedurally generating dungeon collecting potions and fending off enemies until finding the key to the portal that lets them leave the dungeon. The whole game development process was followed, from game design document creation to compiling an installer/uploading to itch.io, as an in-depth study. Free assets were used from the unity assets store and chatGPT was used occasionally to supplement coding/scripting needs. The player character was modeled specifically for unity animation …

Unchained, Shawn Roberts Jr

Game Design

No abstract provided.

Bull Shark (Carcharihinus Leucas) Chondrocranium, Nicholas Burchett, Michelle Bassali, David W. Kerstetter, Roman Devlin

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Horizon Minded (2025 Release), Roots In Wisdom, Charles Barr

College of Business and Management Faculty Publications & Presentations

Album theme: The second Horizon Minded: water-mind meditations — like water, ripples, memento mori — Stoic and Taoist currents in roots reggae form.

# | Track | Inspired by (Book)

• 1 | Like Water | Tao Te Ching
• 2 | Ripples | Karma: A Yogi's Guide to Crafting Your Destiny
• 3 | Find the Middle | Creative Visualization *
• 4 | Passing Light | Multipliers
• 5 | Memento Mori | When Breath Becomes Air
• 6 | As So Within | The Secret
• 7 | Ride the Wind | Flow: The Psychology of Optimal Experience
• 8 | Desire to Detach | …

Reliability Targeted Snow Loads And Winter Wind Parameters For Locations Outside Of The Conterminous United States, Brennan L. Bean, Nicholas Brimhall, Bikram Bhusal, Marc Maguire, Maha Moussa

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The national building standard ASCE 7 moved to reliability-targeted snow loads (RTSLs) in the 2022 version. This necessitates the development of RTSLs for international locations. This repository contains the data and code needed to produce RTSLs and Winter Wind Parameters for locations outside of the Conterminous United States (OCONUS). It relies on annual maximum snow loads provided in a separate data release (see Brimhall et al. 2025).

Graphrag-Enabled Local Large Language Model For Gestational Diabetes Mellitus: Development Of A Proof-Of-Concept, Edmund Evangelista, Fathima Ruba, Salman Bukhari, Amril Nazir, Ravishankar Sharma

All Works

Background: Gestational diabetes mellitus (GDM) is a prevalent chronic condition that affects maternal and fetal health outcomes worldwide, increasingly in underserved populations. While generative artificial intelligence (AI) and large language models (LLMs) have shown promise in health care, their application in GDM management remains underexplored. Objective: This study aimed to investigate whether retrieval-augmented generation techniques, when combined with knowledge graphs (KGs), could improve the contextual relevance and accuracy of AI-driven clinical decision support. For this, we developed and validated a graph-based retrieval-augmented generation (GraphRAG)–enabled local LLM as a clinical support tool for GDM management, assessing its performance against open-source LLM …

Aliens Over Earth, Stephen D. Ragsdale

Game Design

Welcome to Aliens Over Earth! In this classic style platformer game, you play as an alien invading Earth for resources necessary to save her planet! You get to fly around in an alien saucer and search for the mysterious blueprint book, while defending against guided missile launchers, and collecting satellite dishes that have the materials the alien requires. But don’t be too careless in your pursuit of saving your planet because there are still Earth’s defenses and they are very capable and will not hesitate to take you down. Although if your ship gets overwhelmed and destroyed by the encroaching …

Chemical Analyses Of Grass Samples, Johan Du Toit, Shantell Garrett

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Results of chemical analyses of grass samples collected in the foothills of the Henry Mountains, south-central Utah, in the fall of 2021.