Digital Commons Network^™

Using Geographic Information To Explore Player-Specific Movement And Its Effects On Play Success In The Nfl, Hayley Horn, Eric Laigaie, Alexander Lopez, Shravan Reddy

SMU Data Science Review

American Football is a billion-dollar industry in the United States. The analytical aspect of the sport is an ever-growing domain, with open-source competitions like the NFL Big Data Bowl accelerating this growth. With the amount of player movement during each play, tracking data can prove valuable in many areas of football analytics. While concussion detection, catch recognition, and completion percentage prediction are all existing use cases for this data, player-specific movement attributes, such as speed and agility, may be helpful in predicting play success. This research calculates player-specific speed and agility attributes from tracking data and supplements them with descriptive …

Traditional Vs Machine Learning Approaches: A Comparison Of Time Series Modeling Methods, Miguel E. Bonilla Jr., Jason Mcdonald, Tamas Toth, Bivin Sadler

SMU Data Science Review

In recent years, various new Machine Learning and Deep Learning algorithms have been introduced, claiming to offer better performance than traditional statistical approaches when forecasting time series. Studies seeking evidence to support the usage of ML/DL over statistical approaches have been limited to comparing the forecasting performance of univariate, linear time series data. This research compares the performance of traditional statistical-based and ML/DL methods for forecasting multivariate and nonlinear time series.

A Hybrid Ensemble Of Learning Models, Bivin Sadler, Dhruba Dey, Duy Nguyen, Tavin Weeda

SMU Data Science Review

Statistical models in time series forecasting have long been challenged to be superseded by the advent of deep learning models. This research proposes a new hybrid ensemble of forecasting models that combines the strengths of several strong candidates from these two model types. The proposed ensemble aims to improve the accuracy of forecasts and reduce computational complexity by leveraging the strengths of each candidate model.

Development Of Tactical And Strategic Operations Software For Nasa's Lunar Flashlight Mission, Mason Starr

Small Satellite Conference

Lunar Flashlight (LF) is an interplanetary CubeSat mission designed to demonstrate the use of a novel green monopropellant propulsion system and characterize lunar surface ice with a near-infrared laser array and reflectometer. LF is also the first Jet Propulsion Laboratory (JPL) mission to be operated entirely by students. While JPL provided baseline tools to Georgia Tech (GT), bespoke tools and software were developed by GT operators. Four tools developed by the author are discussed in this paper: (1) Downlink Helper is a Graphical User Interface (GUI) tool which improves the tactical downlink of recorded spacecraft telemetry. The tool automatically creates …

Cost-Effective Payload Operations Planning Software For Complex Small Spacecraft Mission Operations, Willard Farmer

Small Satellite Conference

As small spacecraft become more capable, so does the complexity of their operations. Searching for potential concurrent observation or access opportunities and ensuring they are compatible with one another may become tedious and repetitive for operators to manually compute. Currently available commercial-off-the-shelf tools that automate this process are capable but expensive. To address this problem, a new payload operations planning tool has been developed by the Space Flight Laboratory to handle the deterministic aspects of mission planning, such as: detecting observation opportunities, validating observations in a schedule, and generating lists of commands to be sent to satellites. This lightweight tool …

Evaluating Rotation-Equivariant Deep Learning Models For On-Orbit Cloud Segmentation, Alex Meredith

Small Satellite Conference

Cloud detection in satellite imagery is key for autonomously taking and downlinking cloud-free images of a target region as well as studying cloud-climate interactions and calibrating microwave radiometers. We propose a C₈-equivariant dense U-Net, a rotation-equivariant deep learning model, trained on visible-spectrum, long-wave infrared (LWIR), and short-wave infrared (SWIR) imagery for on-orbit cloud detection. We train this model on the SPARCS¹ dataset of Landsat 8 images and compare it to three related deep learning models, two rule-based algorithms, and to the literature. Additionally, we compare a C₈-equivariant dense U-Net trained on VIS, LWIR, and SWIR …

T Cell Receptor Engineering Targeting Foxm1 For The Treatment Of Lung Cancer, Isabel M. Perez-Sandi, Alexandre Reuben, Minying Zhang, Hui Nie, Peixin Jiang, Cassian Yee, Gregory Lizee, John V. Heymach

Summer Experience 2023

No abstract provided.

Data On Deck: A Case Study Of A Historic Undersea Film And Video Digitization Project, Karen Urbec Mlis, Ca, Audrey Mickle Mlis, Lisa Raymond

Journal of Contemporary Archival Studies

In 2021, the Woods Hole Oceanographic Institution (WHOI) Data Library and Archives (DLA), a part of the MBLWHOI (Marine Biological Laboratory Woods Hole Oceanographic Institution) Library, received a grant from the Council on Library and Information Resources (CLIR) Recordings at Risk (RAR) program to catalog, digitize, preserve, and make available historic films and videos of Alvin, the first-of-its-kind manned submersible vessel that has shown us more of the deep ocean than had ever been possible and transformed our understanding of life on Earth.

These moving images have not been accessible to researchers and were far past the intended life cycle …

Functional Connectivity Varies Across Scales In A Fragmented Landscape, Kate I. T. Bird, Daniel R. Uden, Craig R. Allen

School of Natural Resources: Faculty Publications

Species of different sizes interact with the landscape differently because ecological structure varies with scale, as do species movement capabilities and habitat requirements. As such, landscape connectivity is dependent upon the scale at which an animal interacts with its environment. Analyses of landscape connectivity must incorporate ecologically relevant scales to address scale-specific differences. Many evaluations of landscape connectivity utilize incrementally increasing buffer distances or other arbitrary spatial delineations as scales of analysis. Instead, we used a mammalian body mass discontinuity analysis to objectively identify scales in the Central Platte River Valley (CPRV) of Nebraska, U.S.A. We implemented a graph-theoretic network …

Convergence: Eos News And Updates, August 2023, Unh Institute For The Study Of Earth, Oceans And Space

Convergence: EOS News and Updates

No abstract provided.

An Allelic Series Of Spontaneous Rorb Mutant Mice Exhibit A Gait Phenotype, Changes In Retina Morphology And Behavior, And Gene Expression Signatures Associated With The Unfolded Protein Response., George Murray, Jason A. Bubier, Oraya Zinder, Belinda S. Harris, James Clark, Mia-Cara Christopher, Courtany Hanley, Harianto Tjong, Meihong Li, Chew Yee Ngan, Laura G Reinholdt, Robert W. Burgess, Abigail L D Tadenev

Faculty Research 2023

The Retinoid-related orphan receptor beta (RORβ) gene encodes a developmental transcription factor and has 2 predominant isoforms created through alternative first exon usage; one specific to the retina and another present more broadly in the central nervous system, particularly regions involved in sensory processing. RORβ belongs to the nuclear receptor family and plays important roles in cell fate specification in the retina and cortical layer formation. In mice, loss of RORβ causes disorganized retina layers, postnatal degeneration, and production of immature cone photoreceptors. Hyperflexion or "high-stepping" of rear limbs caused by reduced presynaptic inhibition by Rorb-expressing inhibitory interneurons of the …

August 9, 2023 Greenmail, University Of Alabama At Birmingham

GreenMail (student newsletter through 2024)

No abstract provided.

Ud Student Gains Technical Skills, Personal Growth From Research Experience, University Of Dayton

Blog: The Dayton Engineer

Strong and flexible — those are the words UD student Julian Pabon uses to describe the materials needed for a morphing wing, the subject of his research in UD’s wind tunnel.

Reducing Hospital-Acquired Clostridium Difficile, Tracy Esposo

Master's Projects and Capstones

Background: This project focused on implementation of clostridium difficile (C. diff) education sessions at Hospital A, a not-for-profit, short-term, acute care hospital serving the Greater Sacramento community. It comprises of 241 staffed beds in the medical-surgical, telemetry, and intensive care units.

Problem: My Clinical Nurse Leader project focused on preventing hospital-acquired C. diff. At Hospital A, there were 19 hospital-acquired C. diff cases for the 2022 performance year. Of the 19 clostridium difficile cases, 12 were related to C. diff testing criteria fall-outs.

Despite huddling with staff on opportunities and providing education through health stream modules, Hospital A continues to …

End To End Routing Algorithms In Arbitrary Networks, Nada Alzaben

Computer Science and Engineering Theses and Dissertations

The End to End Routing Problem in computer communication networks is the problem of scheduling fixed routes through the network over time. All the packets in a single communication flow follow an assigned route and all flows are routed such that some function of the flows is optimized. A flow is a sequence of packets that are released by some source node and sent over the communication network to a destination node. Multiple objective functions may be used to evaluate the performance of the network. Common objective functions include minimize the mean wait time, minimize the total wait time, minimize …

Butte Priority Soils Operable Unit (Bpsou) Final Insufficiently Reclaimed Sites – Field Sampling Plan (Fsp) Bres No. 84 – Mandan Park Play Area, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Unlocking Insights Into Crop Growth And Nutrient Distribution: A Geospatial Analysis Approach Using Satellite Imagery And Soil Data, Olatunde D. Akanbi, Brian Gonzalez Hernandez, Erika I. Barcelos, Arafath Nihar, Laura S. Bruckman, Yinghui Wu, Jeffrey Yarus, Roger H. French

Student Scholarship

Accurate monitoring of crop growth and nutrient distribution is crucial for optimizing agricultural practices, promoting a sustainable environment, and ensuring long-term food production. In this study, we propose a novel and comprehensive approach to monitor crop growth and nutrient distribution in large-scale agricultural landscapes. Our methodology combines advanced geospatial and temporal analysis techniques, providing valuable insights into the intricate relationships between crop health, soil nutrients, and other essential soil properties.

To monitor vegetation dynamics, we obtained data from the IBM EIS (Environment Intelligence Suite) and processed it using our HPC (High-Performance Computing) infrastructure. This is ingested into our CRADLE (Common …

A Descriptive Study Of Covid-Era Movers To The Northern Forest Region: "The Perfect Balance Of Things...A Choice Based On Lifestyle, Community, And Values", Jess Carson, Sarah Boege, Libby Schwaner

Carsey Publications

The Northern Forest—a 34-county swath of northern Maine, New Hampshire, Vermont, and New York—saw an increase in domestic migration during the pandemic, with 85 percent of the region’s counties experiencing domestic in-migration gains between 2020 and 2021, compared with 63 percent of counties in the rest of the United States. Who moved to the Northern Forest region, and why? Do they intend to stay? And what does that mean for those who already lived there?

In this research brief, authors Jess Carson, Sarah Boege, and Libby Schwaner share findings from interviews with 16 such movers (and six regional real estate …

Svb And Beyond: The Banking Stress Of 2023, Viral V. Acharya, Matthew P. Richardson, Kermit L. Schoenholtz, Bruce Tuckman

Documents

No abstract provided.

Bivariate Copula Regression Models For Semi-Competing Risks, Yinghui Wei, M Wojtys, Lexy Sorrell, Peter Rowe

School of Engineering, Computing and Mathematics

Time-to-event semi-competing risk endpoints may be correlated when both events occur on the same individual. These events and the association between them may also be influenced by individual characteristics. In this article, we propose copula survival models to estimate hazard ratios of covariates on the non-terminal and terminal events, along with the effects of covariates on the association between the two events. We use the Normal, Clayton, Frank and Gumbel copulas to provide a variety of association structures between the non-terminal and terminal events. We apply the proposed methods to model semi-competing risks of graft failure and death for kidney …

Influence Of Ultrasound Machine Settings On Quantitative Measures Derived From Spatial Frequency Analysis Of Muscle Tissue, Scott K. Crawford, Stephanie A. Kliethermes, Bryan C. Heiderscheit, Greg Bashford

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Background Ultrasound is a powerful tool for diagnostic purposes and provides insight into both normal and pathologic tissue structure. Spatial frequency analysis (SFA) methods characterize musculoskeletal tissue organization from ultrasound images. Both sonographers in clinical imaging and researchers may alter a minimized range of ultrasound settings to optimize image quality, and it is important to know how these small adjustments of these settings affect SFA parameters. The purpose of this study was to investigate the effects of making small adjustments in a typical default ultrasound machine setting on extracted spatial frequency parameters (peak spatial frequency radius (PSFR), Mmax, Mmax%, and …

2023 Fall Convocation Program, Morehead State University. Office Of Communications & Marketing.

Communications and Marketing Publications Archive

The 2023 Morehead State University Convocation Program from August 9, 2023.

Final Report - Augmenting Bridge Inspection With Augmented Reality And Haptics Based Aerial Manipulation, Paul Oh, Blake Hament, Dongbin Kim

Project AS-7

Insight and leverage from prior project identified the need for haptics; the inspector’s sense of touch is often used in bridge assessment. Envisioned is the augmentation of bridge personnel by providing a haptics-based aerial manipulator. Such a manipulator would reduce needs to ascend elevated structures like under bridge decks and cabling. There is recent work that uses haptics in aerial manipulation. But these center on autonomous multi-drone flight formation for aerial shows or cooperative object delivery and are relatively straight-forward. The sense of touch is used to provide spatial distance between drones. By contrast, this proposal’s novelty and merit are …

Enhancing Long-Term Outcomes: Implementing Community Engaged Research To Augment Substance Use Disorder Treatment, Kevin M. Quinn

Masters Theses

The Universal Evaluation Tool is an intuitive self-assessment instrument to enhance long-term treatment outcomes for Guiding Light’s residential addiction rehabilitation program. Designed as a versatile method for collecting primary data, the Universal Evaluation Tool can be administered to clients at any point during the recovery program (i.e., intake to discharge). The data collected from the survey can be used as a framework to guide treatment decisions, develop personalized care plans, offer insight into a client’s progress, and collect baseline data (e.g., sociodemographic characteristics) on a treatment population for use in grant applications.

A pilot study to generate preliminary data was …

Assessing The Impact Of Daily Life Events On Depression Symptomatology And The Neural Correlates Of State & Trait Depression Within Resting-State Networks As Deduced By Probabilistic Functional Modes, Rosie Dutt

McKelvey School of Engineering Graduate Student Theses & Dissertations

In our everyday lives, we experience several life events that are either positive in nature (uplifting events) or irritating in nature (hassling events). Independently, these events may not impact an individual’s mood, but together they may accumulate to do so. As such, one would hypothesize that a greater number of hassles experienced would lead to a higher depression level, whilst a greater number of uplifts experienced would lead to a lower depression level. The first Aim of this thesis is to investigate the association between cumulative life events and depression using a linear regression model. The findings revealed that life …

Optimized Beam-Forming For Massive Mimo- Ofdm System, Nelly M. Shafik, Hazem H. El-Banna

Mansoura Engineering Journal

Massive Multiple-Input Multiple-Output (MIMO) wireless communication systems, achieved by large number of antennas, is the main secrete of Fifth Generation (5G) wireless communication networks powerful. In this paper, novel active antennas selection algorithm is proposed with resulted in efficient system performance with only half number of antenna elements. In order to gain optimum performance of massive MIMO wireless communication systems, it is vital to well analyze channel models which is glory indication for massive MIMO system characteristics. In this paper, MIMO system is simulated in bad frequency selective fading channel which is considered the most matching channel in case of …

Full Issue

Insights: The Newsletter of the Neal A. Maxwell Institute for Religious Scholarship

No abstract provided.

Books On Cd And Web

Insights: The Newsletter of the Neal A. Maxwell Institute for Religious Scholarship

Two new FARMS books, Book of Mormon Authorship Revisited and LDS Perspectives on the Dead Sea Scrolls, plus other FARMS volumes and more than two thousand other works, are included on a new CD, "Infobases Collectors Library."

Imaging The Fire-Damaged Petra Scrolls

Insights: The Newsletter of the Neal A. Maxwell Institute for Religious Scholarship

A FARMS-sponsored team specializing in state-of-the-art imaging technology is producing remarkable images of the Petra scrolls. These ancient papyrus documents were found in a charred heap during the 1993 excavation of a sixth-century Byzantine church in Petra, in southwestern Jordan.

Sprite, A Modular Template Of In-Space Propulsion, Mackenzie Kilcoin, Daniel Cavender, Nathan Daniel, Allison Lentz

Small Satellite Conference

Huntsville, AL is home to Plasma Processes, a materials company that creates high temperature material solutions for aerospace and defense applications. Their capabilities include several thermal spray coating techniques, near-net shape refractory metal fabrication, and an array of government and commercial customer entities. A Small Business Innovation Research (SBIR) contract received in 2016 pushed the development of Plasma's first fully integrated thruster assembly using component processes for thrust chambers, injector heads, and high temperature parts that Plasma creates daily for various entities. The thruster assembly used the ASCENT, or AF-M315E, propellant, which was first demonstrated on the Green Propulsion Infusion …