Digital Commons Network^™

Unpacking Influence: Dissecting Engagement Drivers And Dynamics For Effective Influencer Marketing Strategies, Nichole W. Santee

LSU Doctoral Dissertations

Despite influencer marketing's growing significance, brands face challenges in identifying the most effective influencers for their campaigns. This dissertation addresses a gap in influencer marketing engagement literature, focusing on the determinants of consumer engagement in social media interactions.

The impact of specific characteristics found within the proposed influencer marketing sender-receiver communication model on eight behavioral social media engagement metrics is analyzed through a non-traditional content analysis of 218 Instagram influencers utilizing AI analytics platforms. Results reveal several characteristics that significantly affect behavioral engagement, while others have conflicting effects, highlighting the complex nature of the IM industry. Eight hierarchical regressions showed …

27-Hydroxycholesterol Acts On Estrogen Receptor Α Expressed By Pomc Neurons In The Arcuate Nucleus To Modulate Feeding Behavior, Hui Ye, Xiaohua Yang, Bing Feng, Pei Luo, Valeria C.Torres Irizarry, Leslie Carrillo-Sáenz, Meng Yu, Yongjie Yang, Benjamin P. Eappen, Marcos David Munoz, Nirali Patel, Sarah Schaul, Lucas Ibrahimi, Penghua Lai, Xinyue Qi, Yuliang Zhou, Maya Kota, Devin Dixit, Madeline Mun, Chong Wee Liew, Yuwei Jiang, Chunmei Wang, Yanlin He, Pingwen Xu

Division of Basic Science Faculty Publications

Oxysterols are metabolites of cholesterol that regulate cholesterol homeostasis. Among these, the most abundant oxysterol is 27-hydroxycholesterol (27HC), which can cross the blood-brain barrier. Because 27HC functions as an endogenous selective estrogen receptor modulator, we hypothesize that 27HC binds to the estrogen receptor α (ERα) in the brain to regulate energy balance. Supporting this view, we found that delivering 27HC to the brain reduced food intake and activated proopiomelanocortin (POMC) neurons in the arcuate nucleus of the hypothalamus (POMCARH) in an ERα-dependent manner. In addition, we observed that inhibiting brain ERα, deleting ERα in POMC neurons, or chemogenetic inhibition of …

Performance Assessment Of Aboveground Storage Tanks During Flood Events, Md Manik Mia

LSU Doctoral Dissertations

This research addressed the performance of aboveground storage tanks (ASTs) and connected pipelines during floods. ASTs, integral to the oil and gas industry, store hazardous materials like crude oil and chemicals. Positioned near coastal regions, especially the hurricane-prone Gulf Coast, these areas are vulnerable to natural hazards such as floods and hurricanes. This vulnerability can lead to potential environmental and economic disasters, as seen with past hurricanes.
The primary objectives were to investigate AST bottom plate failure mechanisms under flood conditions, assess material failure in tank shells and bottom plates using finite element models, examine the behavior of connected pipelines, …

Hydrogen Adsorption On Ordered And Disordered Pt-Fe And Pt-Co Alloys, Andrew Okafor, William A. Shelton, Ye Xu

Faculty Publications

The bulk properties and surface chemical reactivity of compositionally disordered Pt-Fe and Pt-Co alloys in the fcc A1 phase have been investigated theoretically in comparison to the ordered alloys of the same compositions. The results are analyzed together with our previously reported findings for Pt-Ni. Nonlinear variation is observed in lattice constant, d band center, magnetic moment, and hydrogen adsorption energy across the composition range (0-100 atomic % of Pt, xPt). The Pt 5d states are strongly perturbed by the 3d states of the base metals, leading to notable density of states above the Fermi level and residual magnetic moments …

Hurricane Vulnerability Of Above Ground Storage Tanks, Santosh Ghimire

LSU Master's Theses

The objectives of this research were to: 1) develop an approach to determine the effectiveness of regional storm surge reduction strategies and structural mitigation measures for aboveground storage tanks (ASTs), and 2) study the feasibility of controlled flotation of ASTs during flood and storm surge events. This study provided a comprehensive risk assessment strategy for regional portfolio of tanks, considering all dominant failure modes relevant to future planning initiatives aimed at reducing AST failures. Additionally, this research contributed a new methodology to prevent AST failures during flooding, offering a potential solution to prevent hazardous spills.

Design guidelines such as API …

Empowering Capacitive Devices: Harnessing Transfer Learning For Enhanced Data-Driven Optimization, Teslim Olayiwola, Revati Kumar, Jose A. Romagnoli

Faculty Publications

Developing data-driven models has found successful applications in engineering tasks, such as material design, process modeling, and process monitoring. In capacitive devices like deionization and supercapacitors, there exists potential for applying this data-driven machine learning (ML) model in optimizing its potential use in energy-efficient separations or energy generation. However, these models are faced with limited datasets, and even in large quantities, the datasets are incomplete, limiting their potential use for successful data-driven modeling. Here, the success of transfer learning in resolving the challenges with limited datasets was exploited. A two-step data-driven ML modeling framework named ImputeNet involving training with ML-imputed …

Development And Operationalizing Of The Learning Experience Design Process To Create Integrated Stem Interventions, Vanessa Begat

LSU Doctoral Dissertations

Globally, the demand for people prepared to enter Science, Technology, Engineering and Math (STEM) careers is increasing. To help fill this demand, many formal and informal STEM educational interventions have been implemented in the K-12 domain. However, due to the lack of a clearly defined framework for documenting the nature and scope of the intervention (National Research Council, 2014), the interventions vary greatly in their success, sustainability, and replicability. This research is grounded in Educational Design Research and uses the principle of Learning Experience Design (LXD) to develop a framework for thoughtfully designing and documenting a STEM intervention. This framework …

Assessing Team Performance And Cohesion Of Isolated Multicultural Teams Using Digital Escape Rooms, Susannah J. Aronson

LSU Doctoral Dissertations

History has shown that when multicultural teams are together for long periods of time, conflict can occur. When put in an isolated environment, these conflicts can become dangerous. This study looked at physically isolated multicultural teams through the lens of systems engineering and if a publicly available escape room video game could measure the team’s individual level team performance and cohesion. The author also evaluated the relationship between these success measures, cultural intelligence, and fusion collaboration. Results showed the escape room video game was a reliable and valid instrument to measure individual level team performance and cohesion. The validity correlation …

Mdf-Dta: A Multi-Dimensional Fusion Approach For Drug-Target Binding Affinity Prediction, Amit Ranjan, Adam Bess, Chris Alvin, Supratik Mukhopadhyay

Faculty Publications

Drug-target affinity (DTA) prediction is an important task in the early stages of drug discovery. Traditional biological approaches are time-consuming, effort-consuming, and resource-consuming due to the large size of genomic and chemical spaces. Computational approaches using machine learning have emerged to narrow down the drug candidate search space. However, most of these prediction models focus on single feature encoding of drugs and targets, ignoring the importance of integrating different dimensions of these features. We propose a deep learning-based approach called Multi-Dimensional Fusion for Drug Target Affinity Prediction (MDF-DTA) incorporating different dimensional features. Our model fuses 1D, 2D, and 3D representations …

Design Of Long-Distance Entanglement Distribution Protocols For Quantum Networks, Stav Haldar

LSU Doctoral Dissertations

Future quantum technologies such as quantum communication, quantum sensing, and distributed quantum computation, will rely on networks of shared entanglement between spatially separated nodes. Distributing entanglement between these nodes, especially over long distances, currently remains a challenge, due to limitations resulting from the fragility of quantum systems, such as photon losses, non-ideal measurements, and quantum memories with short coherence times. In the absence of full-scale fault-tolerant quantum error correction, which can in principle overcome these limitations, we should understand the extent to which we can circumvent these limitations. In this work, we provide improved protocols and policies for entanglement distribution …

High-Resolution Groundwater Modeling For Understanding Sparta-Memphis Aquifer Condition, Rafin Hasan

LSU Master's Theses

The Sparta-Memphis aquifer is one of the major sources of domestic and industrial water supplies in the Mississippi Embayment region. However, besides altering the natural direction of flow, several serious complications such as elevated chloride concentration, significant water level decline, large cones of depression, and land subsidence have arisen from excessive groundwater consumption. To better understand the Sparta-Memphis aquifer condition, a high-resolution groundwater flow model for the Sparta-Memphis aquifer was developed in this study to assess groundwater availability and analyze aquifer responses to future groundwater withdrawal scenarios. For the development of the groundwater flow model, firstly about 3,700 electrical log …

The Design, Construction, And Testing Of Nucleic Acid Vaccines Against Salmonella Enterica Subspecies Enterica Serovar Javiana, Alexis A. Nguyen

LSU Master's Theses

Salmonella spp. is a Gram-negative bacterium that has the ability to replicate within a variety of hosts, or within the environment, including water, soil, and vegetation. These characteristics, coupled with the zoonotic nature of non-typhoidal Salmonella, pose a significant public health concern. Salmonella is the leading cause of foodborne illnesses worldwide, and in the United States alone, the economic impact due to non-typhoidal Salmonella illnesses in 2013 was estimated to be $3.7 billion, the majority of which were due to mortalities. In a time of rising antibiotic resistance, antibiotics are no longer considered the most effective treatment for …

A Roadmap To The Next-Generation Technology-Enabled Learning-Centered Environments In Aec Education, Yimin Zhu, Amirhosein Jafari, Amir H. Behzadan, Raja R.A. Issa

Faculty Publications

The architecture, engineering, and construction (AEC) education communities are increasingly facing challenges caused by social, technological, economic, environmental, and political changes. Addressing these issues requires AEC educators and practitioners to systematically rethink and reform many of their current practices. Anecdotal evidence in AEC education already exists with respect to pedagogical improvements made by individual technologies such as immersive computing, artificial intelligence, robotics, big data, cyberinfrastructure, and photogrammetry. However, an effective learning-centered environment is more complex than what any single technology can accomplish. In addition, the relationship between technology-intensive learning and digital inequity in AEC education remains, to the most extent, …

A Compressive Load Bearing Analysis Of 3d-Printed Circular Elements, Ilerioluwa Giwa, Ali Kazemian, Vijaya Gopu, Tyson Rupnow

Faculty Publications

Large-scale construction 3D printing is a promising platform technology that can be leveraged to fabricate structural elements such as columns, piers, pipes, and culverts. In this study, the axial compression and split tensile performance of 3D-printed steel-fiber-reinforced circular elements fabricated with different configurations (hollow, hybrid, mold-cast, and fully 3D-printed) is evaluated. This study further investigates the performance of multi-material circular hybrid elements (3D-printed shells with different backfilled core materials) in an attempt to assess their suitability as a new construction paradigm. The experimental results revealed that the fully 3D-printed steel-fiber-reinforced circular elements exhibited a higher load capacity (up to 36%) …

Louisiana Agriculture Magazine, Summer 2024, Lsu Agcenter

Louisiana Agriculture

When the first agricultural experiment stations were founded in Louisiana more than 130 years ago, researchers focused on ways to improve the lives of farmers across the state. They found the best methods for raising cash crops and livestock along with the fruits and vegetables grown to feed the average rural family. Today the LSU AgCenter maintains that long legacy of research and expands its scope.

This issue of Louisiana Agriculture acknowledges those who helped establish the system of research and extension that would grow into the AgCenter. In addition to these articles, the scientists and staff at the AgCenter …

Wood Ducks And Hooded Mergansers As Interspecific Brood Parasites: An Evaluation Of Parasitic Egg Survival, Dylan L. Bakner, Kevin M. Ringelman, Larry A. Reynolds, Richard M. Kaminski, Scott E. Stephens, J. Brian Davis

Faculty Publications

Conspecific and interspecific brood parasitism are alternate reproductive strategies more pervasive in waterfowl than in any other group of birds. While previous research has measured costs incurred by nest hosts incubating parasitized clutches, few studies have focused on the relative success of parasites. Here, we evaluated the success of wood duck (Aix sponsa) and hooded merganser (Lophodytes cucullatus) eggs laid parasitically in Louisiana and Mississippi. We monitored nest boxes, assigned eggs in each nest as host or parasitic, and determined the number of eggs that hatched and failed. Across all study areas (1994–1999 and 2020–2023), we monitored 1750 wood duck …

Wood Duck Nest Survival And Duckling Recruitment Is Minimally Affected By Interspecific Brood Parasitism From Hooded Mergansers And Black-Bellied Whistling-Ducks, Dylan L. Bakner, Kevin M. Ringelman, Larry A. Reynolds

Faculty Publications

In the southeastern United States, wood ducks (Aix sponsa) have historically experienced interspecific brood parasitism (IBP) primarily from hooded mergansers (Lophodytes cucullatus), but the recent northward expansion of black-bellied whistling-ducks (Dendrocygna autumnalis) has added a new complexity to these interactions. We monitored nest boxes in Louisiana to evaluate the influence IBP had on wood duck daily nest survival rate (after, DSR) and duckling recruitment. We monitored 1,295 wood duck nests from 2020−2023 and found 112 (8.7%) were parasitized by hooded mergansers and 148 (11.5%) by whistling-ducks. Parasitic egg-laying by hooded mergansers lowered wood duck DSR, while DSR for nests parasitized …

Toward Concurrent Identification Of Human Activities With A Single Unifying Neural Network Classification: First Step, Andrew Smith, Musa Azeem, Chrisogonas O. Odhiambo, Pamela J. Wright, Hanim E. Diktas, Spencer Upton, Corby K. Martin, Brett Froeliger, Cynthia F. Corbett, Homayoun Valafar

Clinical Research Faculty Publications

The characterization of human behavior in real-world contexts is critical for developing a comprehensive model of human health. Recent technological advancements have enabled wearables and sensors to passively and unobtrusively record and presumably quantify human behavior. Better understanding human activities in unobtrusive and passive ways is an indispensable tool in understanding the relationship between behavioral determinants of health and diseases. Adult individuals (N = 60) emulated the behaviors of smoking, exercising, eating, and medication (pill) taking in a laboratory setting while equipped with smartwatches that captured accelerometer data. The collected data underwent expert annotation and was used to train a …

Constraining Possible Γ-Ray Burst Emission From Gw230529 Using Swift-Bat And Fermi-Gbm, Samuele Ronchini, Suman Bala, Joshua Wood, James Delaunay, Simone Dichiara, Jamie A. Kennea, Tyler Parsotan, Gayathri Raman, Aaron Tohuvavohu, Naresh Adhikari, Narayana P. Bhat, Sylvia Biscoveanu, Elisabetta Bissaldi, Eric Burns, Sergio Campana, Koustav Chandra, William H. Cleveland, Sarah Dalessi, Massimiliano De Pasquale, Juan García-Bellido, Claudio Gasbarra, Misty M. Giles, Ish Gupta, Dieter Hartmann, Boyan A. Hristov, Michelle C. Hui, Rahul Kashyap, Daniel Kocevski, Bagrat Mailyan, Christian Malacaria, Hiroyuki Nakano, Giacomo Principe, Oliver J. Roberts

Faculty Publications

GW230529 is the first compact binary coalescence detected by the LIGO-Virgo-KAGRA collaboration with at least one component mass confidently in the lower mass gap, corresponding to the range 3-5 M ⊙. If interpreted as a neutron star-black hole merger, this event has the most symmetric mass ratio detected so far and therefore has a relatively high probability of producing electromagnetic (EM) emission. However, no EM counterpart has been reported. At the merger time t 0, Swift-BAT and Fermi-GBM together covered 100% of the sky. Performing a targeted search in a time window [t 0 − 20 s, t 0 + …

An Ixpe-Led X-Ray Spectropolarimetric Campaign On The Soft State Of Cygnus X-1: X-Ray Polarimetric Evidence For Strong Gravitational Lensing, James F. Steiner, Edward Nathan, Kun Hu, Henric Krawczynski, Michal Dovčiak, Alexandra Veledina, Fabio Muleri, Jiri Svoboda, Kevin Alabarta, Maxime Parra, Yash Bhargava, Giorgio Matt, Juri Poutanen, Pierre Olivier Petrucci, Allyn F. Tennant, M. Cristina Baglio, Luca Baldini, Samuel Barnier, Sudip Bhattacharyya, Stefano Bianchi, Maimouna Brigitte, Mauricio Cabezas, Floriane Cangemi, Fiamma Capitanio, Jacob Casey, Nicole Rodriguez Cavero, Simone Castellano, Elisabetta Cavazzuti, Sohee Chun, Eugene Churazov, Enrico Costa, Niccolò Di Lalla, Alessandro Di Marco

Faculty Publications

We present the first X-ray spectropolarimetric results for Cygnus X-1 in its soft state from a campaign of five IXPE observations conducted during 2023 May-June. Companion multiwavelength data during the campaign are likewise shown. The 2-8 keV X-rays exhibit a net polarization degree PD = 1.99% ± 0.13% (68% confidence). The polarization signal is found to increase with energy across the Imaging X-ray Polarimetry Explorer’s (IXPE) 2-8 keV bandpass. The polarized X-rays exhibit an energy-independent polarization angle of PA = −25.°7 ± 1.°8 east of north (68% confidence). This is consistent with being aligned to Cyg X-1’s au-scale compact radio …

Snapshots Of Coastal Ecology Using Multiproxy Analysis Reveals Insights Into The Preservation Of Swamp And Marsh Environments Since The Late Pleistocene, Kendall Fontenot, Kristine L. Delong, Brian A. Schubert, Sophie Warny, Davin J. Wallace, Carrie M. Miller, Erin Culver-Miller, Michael J. Polito, Carl A. Reese, Kathryn Garretson, Kehui Xu, Grant L. Harley, Jeffrey Obelcz, Kelli L. Moran, Julian Traphagan, Douglas Jones, Alicia Caporaso

Faculty Publications

The southeastern United States Coastal Plain ecosystem contains baldcypress (Taxodium distichum) swamps and grass-dominated marshes. These ecosystems also occurred on the exposed continental shelf during lower sea levels but are rarely preserved due to the mechanically erosive nature of transgression and regression. Two presently marine sites on the northeastern Gulf of Mexico's continental shelf contain well-preserved woody terrestrial sediments that were the subject of previous studies. This study continues the investigation using geochemical (δ13C, δ15N, δ34S) and palynological characteristics of these formerly terrestrial sediments to determine if swamps and/or marshes existed at the time of deposition. The first site is …

Spatiotemporal Analysis Of Nighttime Crimes In Vienna, Austria, Jiyoung Lee, Michael Leitner, Gernot Paulus

Faculty Publications

Studying the spatiotemporal dynamics of crime is crucial for accurate crime geography research. While studies have examined crime patterns related to weekdays, seasons, and specific events, there is a noticeable gap in research on nighttime crimes. This study focuses on crimes occurring during the nighttime, investigating the temporal definition of nighttime crime and the correlation between nighttime lights and criminal activities. The study concentrates on four types of nighttime crimes, assault, theft, burglary, and robbery, conducting univariate and multivariate analyses. In the univariate analysis, correlations between nighttime crimes and nighttime light (NTL) values detected in satellite images and between streetlight …

Presidential Stories Of Fear: Focusing Congressional Climate Change Mitigation Attention In The United States, Holly L. Peterson, Chad Zanocco

Faculty Publications

Do presidential climate change narratives increase related congressional attention in the United States? Narrative theory says since narratives leverage cognitive heuristics, they should focus policy-making attention in institutions more efficiently than non-narrative statements. This study identifies and tests climate change statements and narratives, including those focused on solutions, or “stories of hope,” and those focused on problems and victims, “stories of fear,” for relationships with congressional attention using time series analysis. Findings suggest a relationship between narrative and hearings, but not for non-narrative statements and hearings. Furthermore, while narratives are related to hearings generally, stories of fear have larger effects, …

Improving Asphalt Binder Durability Using Sustainable Materials: A Rheological And Chemical Analysis Of Polymer-, Rubber-, And Epoxy-Modified Asphalt Binders, Anas Abualia, Moses Akentuna, Louay N. Mohammad, Samuel B. Cooper, Samuel B. Cooper

Faculty Publications

When exposed to sun radiation and heat, asphalt binders age, resulting in reduced flexibility, cracking, and pavement failure. Given the increasing demands of traffic, environmental concerns, and resource scarcity, highway agencies and researchers are actively seeking solutions that meet performance requirements and demonstrate awareness of using non-renewable resources. Epoxy asphalt (EA) promotes sustainability concepts due to its production at significantly lower mixing and compaction temperatures, enhanced durability, improved serviceability, reduced maintenance needs, and successful recycling and reuse in hot asphalt mixtures. Crumb rubber, a widely recognized recycled waste tire material, is considered a viable option for promoting sustainability and enhancing …

A Review Of The Rheological Consistency Of Materials, Alan Gurt, Michael Khonsari

Faculty Publications

Despite the ubiquity and prevalence of rheological consistency across a wide range of industries, there is no clear consensus on its meaning or on one particular technique for quantifying it. Instead, there exist various definitions of “consistency” that are each specific to a given context, and each industry has its own procedure for measuring it. This paper organizes the many subjects and terminologies associated with consistency, providing a comprehensive guide of fundamental mechanics, fundamental properties, modeling techniques, and standardized tests that describe consistency. This includes outlining the rheological models that describe the behavior of viscoelastic and non-Newtonian materials as well …

A Facile And Sustainable Integrated Fabrication Strategy For Multi-Performance 316l Stainless Steel, Yang Yang, Yi Zhu, Michael M. Khonsari, Sai Wang, Wei Song, Huayong Yang, Yu Zhang

Faculty Publications

Additive manufacturing enables innovative design and integrated manufacturing of complex components. Metallic components with multi-performance and high reliability are always desirable for a broad range of high-end industries. Multi-material additive manufacturing is a promising way to provide multiple performances, yet there exist several persistent challenges on multi-material sustainability and recycling, interfacial defects and strength, dimensional accuracy and fineness, and manufacturing efficiency and cost, prohibiting its widespread practical applications. In this study, we introduce an additive/modification integrated manufacturing (AMIM) strategy for fabricating highly reliable multi-performance metals using only a single material with a one-step process. We demonstrate that, through a unique …

Deep Learning-Based Geomorphic Feature Identification In Dredge Pit Marine Environment, Wenqiang Zhang, Xiaobing Chen, Xiangwei Zhou, Jianhua Chen, Jianguo Yuan, Taibiao Zhao, Kehui Xu

Faculty Publications

Deep learning methods paired with sidescan sonar (SSS) are commonly used in underwater search-and-rescue operations for drowning victims, wrecks, and airplanes. However, these techniques are primarily used to detect mine-like objects and are rarely applied to identifying features in dynamic dredge pit environments. In this study, we present a Sandy Point dredge pit (SPDP) dataset, in which high-resolution SSS data were collected from the west flank of the Mississippi bird-foot delta on the Louisiana inner shelf. This dataset contains a total of 385 SSS images. We then introduce a new Effective Geomorphology Classification model (EGC). Through ablation studies, we analyze …

On Enhancing Memory Forensics With Fame: Framework For Advanced Monitoring And Execution, Taha Gharaibeh, Ibrahim Baggili, Anas Mahmoud

Faculty Publications

Memory Forensics (MF) is an essential aspect of digital investigations, but practitioners often face time-consuming challenges when using popular tools like the Volatility Framework (VF). VF, a widely-adopted Python-based memory forensics tool, presents difficulties for practitioners due to its slow performance. Thus, in this study, we evaluated methods to accelerate VF without modifying its code by testing four alternative Python Just In Time (JIT) interpreters - CPython, Pyston, PyPy, and Pyjion - using CPython as our baseline. Tests were conducted on 14 memory samples, totaling 173 GB, using a search-intensive VF plugin for Windows hosts. Employing our custom Framework for …

Analyzing Thermal Maturity Effect On Shale Organic Matter Via Peakforce Quantitative Nanomechanical Mapping, Chioma Onwumelu, Oladoyin Kolawole, Stephan Nordeng, Olufemi Olorode

Faculty Publications

Organic-rich shales have gained significant attention in recent years due to their pivotal role in unconventional hydrocarbon production. These shale rocks undergo thermal maturation processes that alter their mechanical properties, making their study essential for subsurface operations. However, characterizing the mechanical properties of organic-rich shale is often challenging due to its multiscale nature and complex composition. This work aims to bridge that knowledge gap to fully understand the nanomechanical properties of Shale organic matter at various thermal maturation stages. This study employs PeakForce Quantitative Nanomechanical Mapping (PF-QNM) using Atomic Force Microscopy (AFM) to investigate how changes at the immature, early …

Skilled Labor Shortage In Construction: Deep Dive Of Impactful Factors And Influential People Of The Decision-Making Process, Nicholas B. Hardy

LSU Doctoral Dissertations

The skilled labor shortage is well documented from a historical perspective via studies focusing on various construction trades such as carpentry, mechanical, electrical, plumbing, and tile setters. Causes of such shortages such as industry image, college as a preferred choice after high school, and construction being a last resort have been investigated extensively. Consequently, possible solutions ranging from amplifying shop classes in high school to intensifying recruiting efforts for union training programs have all been addressed throughout the last 40 years. However, recent studies have focused on identifying the magnitude and reach of the skilled labor gap while limited attention …