Digital Commons Network^™

A Simple And Low-Cost Method For Generating Short Laser Pulses, Daniel Fisher

Undergraduate Research Symposium Posters

A simple, portable method is described and demonstrated for generating short optical pulses (~ 1 μsec) from a continuous wave (CW) source using a rotating pinhole. A CW 633nm HeNe beam was focused onto a 225 μm diameter stainless steel pinhole, which was rotated up to 1000 Hz using an optical chopper wheel. The pulsed light was then focused onto a silicon photodetector and read by an oscilloscope. This novel setup aims to bridge the gap between pulsed laser performance and price for wide application in spectroscopy methods, industrial laser peening, and medical treatments. This will be the first publication …

The Utilization Of String Pulling To Determine Female Rats' Dual Cognitive Motor Task Performance Following Space Flight Stressor Exposure, Doc-Haden Rodgers, Nicole M. Atttallah, Teresa L. Garcia, Nuhamine A. Moges, N. A. Moges, K. D. Omengan, J. F. Cortez, K. S. Dhede, A. A. Blackwell

Undergraduate Research Symposium Posters

During deep space exploration, astronauts depend on mission-essential performance in Dual Cognitive Motor Tasks (DCMT), such as receiving information from ground control to assemble and configure wires during a spacewalk. DCMT relies upon processing cognitive and motor information simultaneously. Previous research on rodent models has shown various impairments in cognition and motor function in separate tasks after exposure to deep space radiation and sleep fragmentation (SF). However, an assessment of DCMT performance in rodents has not been established. Rats and humans use similar hand-over-hand movements to pull a string, and task demands may be varied to assess cognition and motor …

Effects Of Low Dose Exposure To Radiation And Sleep Fragmentation On Discrimination In String-Pulling Behavior With Female Rats, Jonathan F. Cortez, Diana Lloyd, T. L. Garcia, A. Adhikari, N. M. Attallah, N. Moges, D. H. Rodgers, K. S. Dhede, K. D. Omengan, A. A. Blackwell

Undergraduate Research Symposium Posters

Astronauts will face harmful stressors, such as galactic cosmic radiation (GCR) and sleep fragmentation (SF), on a three-year space flight mission to Mars and back. Astronauts perform skilled reach-to-grasp behaviors on these missions, including interacting with controls to navigate the spacecraft. Recent work has shown that GCR and SF disrupt skilled reach-to-grasp behavior in rodent models; however, the underlying nature of these deficits is unknown. To determine if tactile sensation and proprioceptive feedback contribute to these impairments, this study evaluated the effects of radiation and SF exposure on memory and sensorimotor discrimination in a rodent model. Twenty-one outbred Wistar, retired …

Pathway-Based Polygenic Risk Score Analysis Of Brain Glial Indicates Cell-Type-Specific Roles In Alzheimer's Disease, Tyrell Pratt, Alice Lee, Jennifer Zheng, Faria Tavacoli, Hayley Ho, Tingwei Liu, Jingchun Chen

Undergraduate Research Symposium Posters

Background: Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by progressive cognitive decline and extensive brain pathology, including amyloid plaques, neurofibrillary tangles, and neuroinflammation. This study aims to identify any glial cell type-specific pathways associated with AD.

Methods: We first investigated the correlation between AD and the genetic risk of glia-specific pathways using pathway-based polygenic risk score (PRS) with PRSet software in the discovery data (ADc1234ADA) adjusted by the top two principal components (PC1, PC2) (Model 1), followed by additional adjustment with sex, age, and APOE ε4 count in Model 2. Further PRSet analyses were replicated in independent data …

Effective Strategies To Decrease Employee Turnover In The Aviation Industry, Jasmina Tabakovic

Walden Dissertations and Doctoral Studies

Employee turnover in the airline industry has been a timely and pressing problem. Some airline managers had not developed effective strategies to reduce employee turnover and mitigate turnover-related costs and organizational instability. Grounded in Herzberg et al.’s two-factor theory, the purpose of this qualitative pragmatic study was to explore effective strategies used by airline managers to reduce employee turnover and mitigate turnover-related costs and organizational instability. The participants were six airline managers in the United States who had developed effective strategies to minimize employee turnover and enhance organizational stability and profits. Data were collected using semi-structured interviews and publicly available …

Implementing Motivational Interviewing And Psycho-Education To Improve Medication Adherence Among Patients With Schizophrenia, Francis Ihejirika

Walden Dissertations and Doctoral Studies

This quality improvement staff education Doctor of Nursing practice (DNP) project was implemented to address the quality issue related to medication nonadherence in patients with schizophrenia. Medication nonadherence is a major health issue facing psychiatric patients, with studies showing high rates of nonadherence among patients with schizophrenia. Nonadherence to treatment heightens the risk of relapse, rehospitalization, suicide, and early death. This staff education project focused on increasing the knowledge and attitudes of healthcare professionals about evidence-based strategies to improve medication adherence in patients with schizophrenia. Five nurses participated in the education program. The participants completed the pretest prior to participating …

Effective Strategies To Decrease Employee Turnover In The Aviation Industry, Jasmina Tabakovic

Walden Dissertations and Doctoral Studies

Employee turnover in the airline industry has been a timely and pressing problem. Some airline managers had not developed effective strategies to reduce employee turnover and mitigate turnover-related costs and organizational instability. Grounded in Herzberg et al.’s two-factor theory, the purpose of this qualitative pragmatic study was to explore effective strategies used by airline managers to reduce employee turnover and mitigate turnover-related costs and organizational instability. The participants were six airline managers in the United States who had developed effective strategies to minimize employee turnover and enhance organizational stability and profits. Data were collected using semi-structured interviews and publicly available …

Comment Letter For Draft Final Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site Phase Iii Quality Assurance Project Plan (Qapp) (Dated September 25, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Applying Machine‐Learning Methods To Laser Acceleration Of Protons: Lessons Learned From Synthetic Data, Ronak Desai, Thomas Zhang, J. J. Felice, Ricky Oropeza, Joseph R. Smith, Alona Kryshchenko, Chris Orban, Michael L. Dexter, Anil K. Patnaik

Faculty Publications

In this study, we consider three different machine-learning methods—a three-hidden-layer neural network, support vector regression, and Gaussian process regression—and compare how well they can learn from a synthetic data set for proton acceleration in the Target Normal Sheath Acceleration regime. The synthetic data set was generated from a previously published theoretical model by Fuchs et al. 2005 that we modified. Once trained, these machine-learning methods can assist with efforts to maximize the peak proton energy, or with the more general problem of configuring the laser system to produce a proton energy spectrum with desired characteristics. In our study, we focus …

Towards An International, Generalizable Marketing Strategy Maturity Model, Juan Manuel Harraca

USF Tampa Graduate Theses and Dissertations

In an increasingly dynamic business environment, organizations face relentless pressure to adapt their strategies and optimize value propositions to maintain competitiveness. The formulation of effective marketing strategies has emerged as a critical factor in achieving sustainable competitive advantage and ensuring long-term success. However, many firms struggle to refine their marketing capabilities in response to evolving market demands. Addressing this challenge, the Marketing Strategy Maturity Model (MSMM), introduced by Harraca in 2023, offers a structured framework to assess and improve a firm’s marketing strategy formulation processes.

The MSMM provides a dual approach, emphasizing the enhancement of both the processes and the …

Deep Learning Classification Of Mri Differentiates Brain Changes In Genetic And Idiopathic Parkinson’S Disease, Megan Courtman, Mark Thurston, Hongrui Wang, Sube Banerjee, Adam Streeter, Lucy Mcgavin, Stephen Hall, Lingfen Sun, Emmanuel Ifeachor, Stephen Mullin

Peninsula Medical School

BackgroundThe prospect of neuroprotective treatments for Parkinsons disease highlights the need for early diagnostic tests. Specialised MRI sequences suggest changes related to Parkinsons disease may be detectable. ObjectivesWe used the Parkinsons Progression Markers Initiative dataset to investigate whether deep learning can detect early brain MRI changes of idiopathic and GBA/LRRK2 prodromal Parkinsons disease. MethodsPairs of matched cohorts were used to train convolutional neural networks to classify T2 axial images. Explainability methods were used to visualise drivers of model predictions. ResultsModels built to distinguish between idiopathic Parkinsons disease scans (n=504) and matched controls exhibited good classification performance for scans taken more …

Applications Of Computer Vision In Biomechanics And Orthopaedics, William Stewart Burton Ii

Electronic Theses and Dissertations

Machine learning has emerged as a key technology for enabling advanced computer vision systems. These systems now permeate many industries, and have enhanced traditional processes through autonomous interpretation of visual data. In the field of orthopaedics, the increasing prevalence of imaging highlights a need for similar tools. In many cases, however, direct translation of available frameworks fails to resolve the complex problems currently facing this field. Stringent performance requirements, complex visual environments, data scarcity, and implications for patient safety represent domain-specific factors which pose unique challenges to proven techniques. Novel approaches are needed to realize the full benefits of visual …

Predicting Cloud-To-Ground Lightning In The Western United States From The Large-Scale Environment Using Explainable Neural Networks, Dmitri A. Kalashnikov, Frances V. Davenport, Zachary M. Labe, Paul C. Loikith, John T. Abatzoglou, Deepti Singh

Geography Faculty Publications and Presentations

Lightning is a major source of wildfire ignition in the western United States (WUS). We build and train convolutional neural networks (CNNs) to predict the occurrence of cloud-to-ground (CG) lightning across the WUS during June-September from the spatial patterns of seven large-scale meteorological variables from reanalysis (1995-2022). Individually trained CNN models at each 1° × 1° grid cell ( = 285 CNNs) show high skill at predicting CG lightning days across the WUS (median AUC = 0.8) and perform best in parts of the interior Southwest where summertime CG lightning is most common. Further, interannual correlation between observed and predicted …

An Ai-Driven Framework To Enhance The Quality And Sustainability Of Manufacturing Systems, Purvee Bhatia

USF Tampa Graduate Theses and Dissertations

Sustainability in manufacturing is emerging to be a key factor to minimize waste and enhance resource efficiency while maintaining product quality. Sustainability and quality are intertwined and have an impact on each other wherein sustainable practices for surface quality assessment play a pivotal role in waste management and process optimization. Advanced technologies such as machine learning have gained prominence in manufacturing and the availability and ubiquity of diverse data streams allows for the enhancement of manufacturing systems across metrics critical to the sectors in which they are employed such as performance and quality. However, many challenges remain in the effective …

Identification Of Lrp1+Cd13+ Human Periosteal Stem Cells That Require Lrp1 For Bone Repair, Youngjae Jeong, Lorenzo Deveza, Laura Ortinau, Kevin Lei, John R Dawson, Dongsu Park

Faculty, Staff and Students Publications

Human periosteal skeletal stem cells (P-SSCs) are critical for cortical bone maintenance and repair. However, their in vivo identity, molecular characteristics, and specific markers remain unknown. Here, single-cell sequencing revealed human periosteum contains SSC clusters expressing known SSC markers, podoplanin (PDPN) and PDGFRA. Notably, human P-SSCs, but not bone marrow SSCs, selectively expressed identified markers low density lipoprotein receptor-related protein 1 (LRP1) and CD13. These LRP1+CD13+ human P-SSCs were perivascular cells with high osteochondrogenic but minimal adipogenic potential. Upon transplantation into bone injuries in mice, they preserved self-renewal capability in vivo. Single-cell analysis of mouse periosteum further supported the preferential …

Librarian Instruction Of Researcher Profile Systems To Graduate Students: A Case Study, Caroline Monnin, Justin Fuhr

Journal of Graduate Librarianship

Introduction: Academic liaison librarians play a pivotal role in supporting graduate students with their scholarly endeavors, particularly research dissemination. Researcher profile systems (RPSs) are important for promoting academic work; they ensure name attribution and facilitate research distribution. Academic librarians are advocates of these systems and provide support and instruction for them. This article reports on a pre–post survey evaluating a library workshop on RPSs for graduate students, as well as the changes made to the workshop based on the results of the survey.

Methods: The authors co-taught a workshop about RPSs six times between 2021 and 2022. Pre- and post-surveys …

Geotechnical Communication Guide For Design Consultants, Elle Wilkinson

Civil Engineering Professional Development Seminar

No abstract provided.

Understanding The Fhwa Cost And Schedule Risk Assessment (Csra) Process, Toby Randolph, Danny Corbin, Jim Martin

Civil Engineering Professional Development Seminar

No abstract provided.

Vol. 12, No. 6, Glen Goodknight

Mythprint

Mythprint is the monthly bulletin of the Mythopoeic Society, a nonprofit educational organization devoted to the study, discussion, and enjoyment of myth and fantasy literature, especially the works of J.R.R. Tolkien, C.S. Lewis, and Charles Williams. To promote these interests, the Society publishes three magazines, maintains a World Wide Web site, and sponsors the annual Mythopoeic Conference and awards for fiction and scholarship, as well as local and written discussion groups.

Vol. 12, No. 5, Glen Goodknight

Mythprint

Mythprint is the monthly bulletin of the Mythopoeic Society, a nonprofit educational organization devoted to the study, discussion, and enjoyment of myth and fantasy literature, especially the works of J.R.R. Tolkien, C.S. Lewis, and Charles Williams. To promote these interests, the Society publishes three magazines, maintains a World Wide Web site, and sponsors the annual Mythopoeic Conference and awards for fiction and scholarship, as well as local and written discussion groups.

The Relocation Left Behind - Uap Exceptions 101, Josshe Palm, Karl Krukenberg, Jennifer Beck

Civil Engineering Professional Development Seminar

No abstract provided.

Mapping Landslides In The Hoosier National Forest And An Indot Case Study On Sr 145 In Dubois County, Victoria Leffel, Joey Franzino

Civil Engineering Professional Development Seminar

No abstract provided.

Test Your Snack Knowledge!, Hunt Library

International Education Week

Test Your Snack Knowledge!

Join us for a deliciously fun activity where you can taste snacks from around the world and try to guess their origins. Challenge your taste buds, learn about different cultures, and enjoy a global culinary adventure. How many snacks can you identify correctly?

Distinct Visual Processing Patterns In Female Elite Athletes: A Comparative Study Of Gymnastics, Soccer, And Esports Using Visual P300 Event-Related Potentials, Papatsorn Ramyarangsi, Simon J. Bennett, Vorasith Siripornpanich, Ampika Nanbancha, Akachai Pokaisasawan, Prapan Noppongsakit, Amornpan Ajjimaporn

International Journal of Exercise Science

International Journal of Exercise Science 17(5): 1595-1604, 2024. Visual processing is crucial for sports performance, influencing athletes' ability to interpret and respond to visual stimuli. This study investigated distinct visual processing patterns among Thai elite athletes in gymnastics, soccer, and esports, utilizing visual P300 event-related potentials (P300 ERPs). Forty-two female athletes (14 gymnasts, 14 soccer players, and 14 esports athletes) participated. Visual P300 ERP responses were stimulated using the visual oddball paradigm. One-way ANOVA was employed to assess significant differences among the groups in P300 ERPs data, including amplitude and latency of waveforms, response time, and accuracy rate. Significant differences …

Principles Of Writing Construction Specifications And Special Provisions, Scott Trammell

Civil Engineering Professional Development Seminar

No abstract provided.

Automatic Detection Of Qr Code Scan Failures And Suggesting Mitigating Actions, Ramprasad Sedouram, Rahul Mullick

Defensive Publications Series

Quick response (QR) codes are used to enable users to initiate digital action such as payment, visiting an online information source such as a menu, etc. by scanning a printed or displayed code by a device camera. Scan failures or lack of network connectivity can result in failures in such actions, potentially leading to lost revenue for merchants that use QR codes. This disclosure describes techniques, implemented with user permission, that perform image analysis to detect QR code scan failures and/or network failures that cause digital actions to fail. A root cause of the failure, such as damaged or poorly …

Method For Approximate Content Discovery, Philippe Ombredanne

Defensive Publications Series

Efficient approximate digital content discovery and identification at scale is an important and complex topic.

This proposed method for matching approximate digital content and text fragments consists of these three elements:

1. Content-defined chunking algorithm to split content into fragments and select a subset of these fragments

2. Fingerprinting fragments with a locality sensitive hashing (LSH) function for approximate matching of these fragments. This fingerprint can embedmultiple precision in a single bit string to tune the search precision and organize the search in rounds of progressively increasing precision.

3. Indexing-time approximate matching for deduplication where each new content fragment is …

Spartan Daily, November 21, 2024, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2024

Volume 163, Issue 38

Holistic Correlation Measure For Enhanced Encapsulation Of Trait Heterogeneity And Discovery Of Co-Expression, Zachary Valleroy

Theses

Large-scale, high-dimensional data analyses can be computationally prohibitive due to combinatorial explosion of the search space for finding complex patterns; a viable alternative is network modeling for abstraction and quantifying intrinsic data associations. Prominent network analysis methods furnish frameworks for model synthesis and validation but rely on standard correlation measures impaired by semi-supervised biases, latent heterogeneity, and uneven discretization techniques. Here we investigate a holistic measure for encapsulating data heterogeneity for enhanced efficacy of revealing complex patterns through network analysis. Our unique correlation metric, K-medoids Utility for Duo Original Similarities (Kudos), exhaustively factors real-valued analyte data to compute …

2024.11.21 - Board Of Trustees Meeting Minutes, Northeastern Illinois University Board Of Trustees

Board of Trustees - 2024

Meeting materials for the NEIU Board of Trustees