Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Social and Behavioral Sciences (5455)
- Medicine and Health Sciences (4195)
- Education (3897)
- Life Sciences (2701)
- Psychology (2620)
-
- Engineering (2458)
- Physical Sciences and Mathematics (1980)
- Arts and Humanities (1843)
- Sociology (932)
- Business (766)
- Public Health (757)
- Nursing (639)
- Clinical Psychology (627)
- Higher Education (552)
- Family, Life Course, and Society (504)
- Educational Leadership (489)
- Civil and Environmental Engineering (478)
- Educational Administration and Supervision (472)
- Computer Sciences (462)
- Communication (459)
- Special Education and Teaching (444)
- Chemistry (443)
- Medical Sciences (439)
- Public Affairs, Public Policy and Public Administration (398)
- Pharmacy and Pharmaceutical Sciences (384)
- Biology (370)
- Kinesiology (345)
- Dentistry (343)
- Curriculum and Instruction (339)
- Communication Sciences and Disorders (334)
- Institution
-
- University of North Dakota (5740)
- Virginia Commonwealth University (4468)
- Brigham Young University (3733)
- University of South Carolina (2869)
- Mississippi State University (2608)
-
- Rowan University (1761)
- Air Force Institute of Technology (1412)
- American University in Cairo (1284)
- Pepperdine University (1158)
- Illinois State University (949)
- University of Texas Rio Grande Valley (859)
- St. John's University (689)
- Florida Institute of Technology (658)
- University of Arkansas Little Rock (635)
- City University of New York (CUNY) (538)
- University for Business and Technology in Kosovo (454)
- Nova Southeastern University (448)
- Columbus State University (329)
- SASTRA Deemed to be University (119)
- Texas A&M International University (85)
- CentraCare Health (6)
- UAlaska System (5)
- Seattle Pacific University (4)
- Southern Methodist University (2)
- Louisiana Tech University (1)
- Keyword
-
- Education (370)
- North Dakota (310)
- Dissertations (EdD) -- Organizational leadership (244)
- Dissertations (PsyD) -- Psychology (225)
- Depression (213)
-
- Mental health (205)
- United States (204)
- Leadership (202)
- Gender (172)
- Children (167)
- Women (166)
- Autism (162)
- Cancer (156)
- COVID-19 (141)
- Anxiety (140)
- Stress (137)
- Egypt (136)
- Obesity (136)
- Trauma (129)
- Self-efficacy (111)
- Adolescents (110)
- Motivation (110)
- Higher education (109)
- Machine learning (108)
- Physical activity (106)
- Resilience (105)
- Health (104)
- College students (95)
- Communication (94)
- Social media (94)
- Publication Year
- File Type
Articles 3361 - 3390 of 30814
Full-Text Articles in Entire DC Network
Public-Private Partnerships (Ppps) In The Defense-Critical Semiconductor Industry: A History And Firm Level Analysis, Holden J. Holt
Public-Private Partnerships (Ppps) In The Defense-Critical Semiconductor Industry: A History And Firm Level Analysis, Holden J. Holt
Theses and Dissertations
This thesis provides 3 contributions to the literature of semiconductor industry industrial policy. The thesis (1) provides a historical overview of industrial policy within the U.S. semiconductor industry, (2) measures semiconductor public-private partnership (PPP) participation and (3) measures firm functions’ impact on firm level performance. PPP participation data was gathered from a sample of 10 semiconductor PPPs. Firm level performance data was collected from 66 public, U.S., SIC 3674 “Semiconductor and Related Devices” firms from 2014 to 2022, and a random effects, fixed effects, and pooled ordinary least squares regression was conducted on an unbalanced panel data set of 524 …
Predictive Analytics For Military Construction Overruns: A Machine Learning Approach, William D. Hunter
Predictive Analytics For Military Construction Overruns: A Machine Learning Approach, William D. Hunter
Theses and Dissertations
This research focused on analyzing cost and schedule overruns in a specific set of Air Force MILCON projects. Using data from the Built Infrastructure Common Operating Picture (BICOP), several advanced machine learning techniques, including LASSO regression and Random Forest, were applied to uncover patterns and build predictive models. The work sought to enhance the decision-making capabilities and efficiency of project managers within the Air Force through data-driven insights. A key finding from the models indicated that location was the most important factor in influencing a project’s tendency toward cost and schedule overrun. The best model for predicting schedule overrun achieved …
Assessing Military Parking: A Deep Learning Approach To Evaluating Standards And Impacts, Ryan D. Lalonde
Assessing Military Parking: A Deep Learning Approach To Evaluating Standards And Impacts, Ryan D. Lalonde
Theses and Dissertations
Current United States Department of Defense (DoD) standards require a minimum amount of parking for each building. This requirement defines how much off-street parking to construct. However, the impact of these requirements remains unclear. This study builds upon the emerging field of overhead imagery analytics by directly tying it to parking on military installations. Specifically, this study leverages a pretrained deep learning car detection model, Car Detection – USA, developed by Esri for use within ArcGIS, and couples it with open-access temporal imagery sourced from Google Earth Pro to assess selected parking lots across Area B, Wright-Patterson Air Force Base, …
Artificial Intelligence And Perception: An Empirical Study, Anthony J. Neil
Artificial Intelligence And Perception: An Empirical Study, Anthony J. Neil
Theses and Dissertations
This thesis investigates the impact of adjusting artificial intelligence explainability levels’ outputs on user perception. The overarching study extends within the Explainable Artificial Intelligence (XAI) domain. It examines a spectrum of variables, including performance, cognizance, familiarity, transparency, system bias, and the overall impact of AI, to understand their collective and individual effects that enable effective professional use in an organization. The study aims to illuminate the relationship between the degree of explainability provided by large language models such as ChatGPT, Bard, and Bing AI and the performance of these models when tasked with XAI adjustments.
Human Capital Impacts In Military Acquisition, David K. Smith
Human Capital Impacts In Military Acquisition, David K. Smith
Theses and Dissertations
The Department of Defense has historically struggled to control both cost and schedule growth within acquisitions programs. Many studies have investigated these issues, but very few have explored the impact of human capital in improving performance outcomes. This study provides a description of current acquisition team manning and performs contingency table analysis to evaluate the impact of personnel, base, and ACAT on cost and schedule performance. The results of the study suggest that personnel has little to no impact on performance metrics of any kind, indicating that teams are allocated effectively. The study also suggests that ACAT 3 programs are …
Deploying Field-Capable Genome Sequencing: Human Performance Considerations Under Various Personal Protective Equipment Ensembles, Steven A. Torres
Deploying Field-Capable Genome Sequencing: Human Performance Considerations Under Various Personal Protective Equipment Ensembles, Steven A. Torres
Theses and Dissertations
Field-portable genome sequencing enhances the Department of Defense's strategy for detecting biological threats, particularly in resource-limited environments. While current field-capable detection methods are effective, challenges in identifying emerging threats pose risks to personnel safety. As biotechnological advancements like portable nanopore genome sequencing can advance biological detection capabilities, the viability of conducting laboratory tasks under Mission-Oriented Protective Posture (MOPP) ensembles lacks sufficient data. This research assesses the effectiveness of tools like pipettes, centrifuges, vortexes, and nanopore sequencing within a MOPP ensemble. Novice participants were utilized to explore the extension of this capability, and they completed tasks in three conditions: Fatigues, Laboratory …
Analyzing Earned Value Management For Long Duration Development Efforts, Bradley L. Vuu
Analyzing Earned Value Management For Long Duration Development Efforts, Bradley L. Vuu
Theses and Dissertations
Earned Value Management (EVM) is an integral tool for the success of many programs by allowing the assessment of cost and schedule performance via its metrics. However, the accuracy of these metrics depends on programspecific factors such as phase and contract type. The purpose of this research is to analyze the stability of Estimates at Completion (EACs) for long duration development efforts. Prior research by Christensen in 1996 on EAC stability for development and production contracts was replicated by Kim, White, Ritschel, and Millette in 2019 and found differing results using modern data. This research found that for development efforts …
Sensor-Based Vehicle Classification Using Machine Learning, Luke Mcfadden
Sensor-Based Vehicle Classification Using Machine Learning, Luke Mcfadden
Theses and Dissertations
This research investigates the classification of vehicles into heavy and light categories using acoustic, seismic, and magnetic sensor data. The effectiveness of using frequency domain data and classical machine learning techniques, is compared with the effectiveness of using time-series data and neural networks. The primary aim in doing so was to understand if modern neural network architectures could effectively remove the need for more traditional frequency based signals processing. A significant deliverable of this thesis was the feature importance determined for each of the three phenomenological types found within the data (acoustic, seismic, and magnetic). By analyzing the importance of …
Life Cycle Analysis Of Mobile Nuclear Reactor Compared To Other Alternative Fuels In Indopacom, Maria J. Hurtado
Life Cycle Analysis Of Mobile Nuclear Reactor Compared To Other Alternative Fuels In Indopacom, Maria J. Hurtado
Theses and Dissertations
Energy is an item that makes the military vulnerable as it is something that they depend on the most which can have negative impacts. Mobile nuclear reactors are gaining the interest of many leaders in the military as a viable option of a potential alternative fuel source. There are many positives in utilizing mobile nuclear reactors in terms of environmental impacts and feasibility of transport. Studies have shown that mobile nuclear reactors can produce very low or negligible carbon emissions during operations. The focus of this thesis is to determine the environmental impacts of nuclear reactors, logistical requirements, and determine …
Human Performance Modeling Architecture With Hc-130j Mission Application, Stephanie G. Slimp
Human Performance Modeling Architecture With Hc-130j Mission Application, Stephanie G. Slimp
Theses and Dissertations
The DOD emphasizes digital engineering using Model-Based Systems Engineering (MBSE), where MBSE includes SysML-based models of systems. Analysis of system impacts on the human operators and their performance typically occurs through non-MBSE approaches, if at all. One current process, considered the As-Is process for this research, evaluates human performance and workload using IMPRINT, a discrete event simulation (DES) tool. IMPRINT primarily exists as a standalone tool with limited built-in functionality to integrate with an MBSE tool. Using the HC-130J and its crew during a CSAR mission as the system, this research develops a generalizable and updateable human performance modeling architecture …
Measuring The Comparative Performance Of Usaf Behavioral Health Clinic Operations: Emphasis On Capacity, Daniel L. Straw
Measuring The Comparative Performance Of Usaf Behavioral Health Clinic Operations: Emphasis On Capacity, Daniel L. Straw
Theses and Dissertations
This research examines the operations of behavioral health clinics in Air Force Continental United States facilities, with a focus on operational efficiency and capacity through Data Envelopment Analysis. Most facilities operate near capacity, demonstrating efficient resource usage, but concerns arise with the potential of increased demand. Days-to-care and leakage are identified as major sources of inefficiency, suggesting that addressing these issues can enhance operations and reduce costs. The study also explores the impact of COVID-19 on care delivery.
Evaluating United States Air Force Installation Water Security, Michael L. Berg
Evaluating United States Air Force Installation Water Security, Michael L. Berg
Theses and Dissertations
Water shortage at Mountain Home Air Force Base in the last decade ignited the need for an assessment of relative water security risk across United States Air Force installations. Current evaluation methods often differ from actual conditions suggesting a need to categorize security across the enterprise for multiple discrete locations. Indicator-based approaches for characterizing water security are common in academic literature but have little methodological consensus and have rarely been applied to discrete areas spread across geographically separated locations with diverse climates. Using a two-stage analytical hierarchy process and normalized utility functions, water security at 30 installations across the continental …
A Staged Framework For Llm-Powered Information Extraction In Government Contracts, Jung H. Yae
A Staged Framework For Llm-Powered Information Extraction In Government Contracts, Jung H. Yae
Theses and Dissertations
The manual extraction of meaningful insights and conversion of content into structured forms to enhance document processing require substantial resources and are susceptible to errors. Despite numerous applications of various Natural Language Processing (NLP) models to streamline the manual process, challenges persist due to domain-specific data constraints and the deficiency of annotated data. This study attempts to address these challenges by leveraging a Large Language Model (LLM) to analyze government contracts. Through rigorous evaluation, we demonstrate the LLM’s effectiveness in information extraction and mitigating hallucinations, achieving a 87.86% accuracy in metadata extraction.
Level 2 Work Breakdown Structure Cost Growth Analysis, Kyle P. Marquis
Level 2 Work Breakdown Structure Cost Growth Analysis, Kyle P. Marquis
Theses and Dissertations
This thesis analyzes first and second level WBS elements of 59 historical USAF Acquisition Category I RDT&E programs for accuracy and influence on the overall program cost growth. For the accuracy analysis portion, the mean, 15th, and 85th percentiles of common practice estimates at completion are compared with the same percentiles for distributions generated using the data. The results reveal a trend of substantial underestimation of risks associated with cost overruns. For the influence portion, this thesis analyzes the effect that cost growth trends of different second level WBS elements have on cost growth of the overall program through regression …
A Framework For Dynamic Combat Support Exercises, Sean R. Mccarty
A Framework For Dynamic Combat Support Exercises, Sean R. Mccarty
Theses and Dissertations
Future armed conflict will be characterized by the unknown as adversaries innovate and evolve—surprise is inevitable. Current exercises provide inadequate opportunities for combat support forces to develop improvisational skills. This research proposes an extensible framework for human-in-the-loop control of exercises using a graph network for modeling combined with topological analysis and the resource-constrained project scheduling problem. This framework is assessed using the United States Air Force Silver Flag exercise as a case study with promising results.
An Analysis Of Usaf Policy Implementation For Building Information Modeling, Evan J. Ward
An Analysis Of Usaf Policy Implementation For Building Information Modeling, Evan J. Ward
Theses and Dissertations
The development of Building Information Modeling (BIM) has strongly influenced the architecture, engineering, and construction communities as a path towards effective and efficient asset management. Although BIM is a standard practice in the private sector, the United States Air Force (USAF) does not mirror its civilian counterparts when it comes to BIM use. USAF BIM is limited in its use and does not extend beyond the design and construction phases of the construction life cycle. This research used a detailed querying process to analyze foundational policy documents and determine specific USAF building information requirements. After categorizing the list of requirements …
Radiological Decontamination Methodologies On Litter-Bound Patients In Arctic Environments, And The Associated Airborne Risks Posed To First Responders, Juan S. Alb
Theses and Dissertations
This study was conducted to determine if air-based decontamination (decon) methods would be effective at both treating patients exposed to dry, radiological contamination as well as reducing its re-aerosolization during the disrobing process, such that these methods could be applied on litter-bound patients in extreme cold environments. A litter-bound, full-size mannequin dressed in a set of standard military issue extreme cold weather jacket and pants coated in 27 g (1 Tbs) of Copper Oxide (density 6.315 g/cm3 ) was given one of three treatments for dry aerosol decon. The three cleaning treatments included high-efficiency particulate air (HEPA) vacuum, a …
Measuring The Presentation Of Supporting Content For A Set Of Learning Objectives Throughout The States Of An Educational Game Tree, Michael L. Hastriter Jr.
Measuring The Presentation Of Supporting Content For A Set Of Learning Objectives Throughout The States Of An Educational Game Tree, Michael L. Hastriter Jr.
Theses and Dissertations
In an era of evolving warfare, the Department of Defense (DoD) recognizes the value of serious games as immersive tools for teaching critical concepts. This thesis introduces a pioneering framework tailored to enhance learning objectives through the presentation of educational game content. This addresses the unique needs of the DoD and other educators who use games by providing measurements to assess educational games. This researches investigates how instructors might assess games as potential teaching tools. It establishes a five-phase process, providing a framework to assess educational games against predefined learning objectives and informing future game development. This thesis demonstrates games …
Enhancing Port Efficiency And Lead Time Reduction Through Predictive Analysis: A Case Study Of Container Management At Khalifa Bin Salman Port, Abdulaziz A. Aljalahma
Enhancing Port Efficiency And Lead Time Reduction Through Predictive Analysis: A Case Study Of Container Management At Khalifa Bin Salman Port, Abdulaziz A. Aljalahma
Theses and Dissertations
Khalifa bin Salman Port (KBSP), a key pillar in Bahrain's maritime infrastructure, is the focal point of this study, highlighting the significant role of predictive analytics in optimizing port operations. This thesis analyzes container throughput data from 2017 to 2022, provided by Bahrain's Ministry of Transportation database. This data forms the basis for forecasting the 2023 throughput. The study thoroughly compares these predictions with the actual 2023 data, assessing the predictive model's accuracy. The findings underscore the importance of predictive analytics in strategic decision-making for port management, focusing on enhancing operational efficiency and reducing lead times. This research offers a …
Modeling & Engineering Of Usmepcom Business Intelligence Data, Merrick A. Bedford
Modeling & Engineering Of Usmepcom Business Intelligence Data, Merrick A. Bedford
Theses and Dissertations
This thesis investigates the USMEPCOM’s issue of modeling and engineering Business Intelligence data centralized around the MEPS of Excellence (MOE) program. MEPS around the US conduct military personnel in-processing and in doing so have a vested interest in the standardization and application of the data associated with such processes. There are currently 65 MEPS stations and one RPS that handle military personnel onboarding paperwork and make determinations for military eligibility. This topic is important due to the MEPS cloud data processing system modernization efforts requiring data processing adaptation to ensure relevant and meaningful usage of current data.
Federated Medical Scoring Systems, Jacob F. Bryant
Federated Medical Scoring Systems, Jacob F. Bryant
Theses and Dissertations
Federated Learning (FL) is a recent framework of machine learning implementation that trains models on a distributed network of clients as opposed to housing and analyzing this data centrally. This has data communication and practical data privacy advantages, the latter of which is particularly attractive to the medical community where patient privacy is closely safeguarded. We apply FL to a family of sparse linear integer models called Medical Scoring Systems (MSSs). We create a novel methodology for creating these MSSs in a simulated federated environment that involves an lo constrained Logistic Regression (LR), loss-surface examination, and rounding procedure. We tested …
Examining The Effect Of Contractor Logistics Support On The Reliability Of Military Aircraft, Rodrigo S. Campos De Moura
Examining The Effect Of Contractor Logistics Support On The Reliability Of Military Aircraft, Rodrigo S. Campos De Moura
Theses and Dissertations
This study utilizes survival analysis for examining the effect of Contractor Logistics Support (CLS) on the reliability of military aircraft before and after implementing CLS. The provider of CLS in this study is the original equipment manufacturer that designed and produced the target aircraft of this study, the Embraer A-29 Super Tucano.
2033 Digital Modernization At Usmepcom: A Strategic Analysis Of Future Military Applicant Processing, William A. Clay
2033 Digital Modernization At Usmepcom: A Strategic Analysis Of Future Military Applicant Processing, William A. Clay
Theses and Dissertations
This research examines the projected 2033 applicant processing scenario considering the digital modernization efforts of the United States Military Entrance Processing Command (USMEPCOM). The study evaluates the necessary modifications to current processes, with a particular focus on the influence of two key information technology systems, the MEPCOM Integrated Resource System (MIRS) 1.1 and the Military Health System (MHS) Genesis, on manpower at a Military Entrance Processing Station (MEPS). In doing so, the study establishes baseline processing metrics for assessing these impacts. By utilizing discrete event simulation modeling and leveraging current literature, the study proposes strategies for incorporating technological advancements into …
Federated Analysis Of Wearables Data For United States Air Force Mental And Physical Readiness, Sung Yong O
Federated Analysis Of Wearables Data For United States Air Force Mental And Physical Readiness, Sung Yong O
Theses and Dissertations
This thesis investigates the use of machine learning and deep learning models within a federated learning framework to predict physical and mental readiness in military personnel, using wearable technology data. The collaboration with the 711th Human Performance Wing’s STRONG Lab highlights the importance of readiness as emphasized by the National Defense and Security Strategies. The study evaluates various predictive models, incorporating federated learning to ensure data privacy and security in healthcare systems. By analyzing a comprehensive dataset, the research aims to contribute to military readiness enhancement through technological advancements, supporting health and wellness initiatives to bolster the effectiveness of military …
Knowledge Management Modeling And Decision Analysis For Usmepcom, Luke G. Wunderlich
Knowledge Management Modeling And Decision Analysis For Usmepcom, Luke G. Wunderlich
Theses and Dissertations
This thesis explores the adoption of Value-Focused Thinking (VFT) in enhancing the Knowledge Management (KM) program at USMEPCOM, aiming to align decision-making with the organization’s values and goals. Through evaluating the current knowledge flow and policy drafts, it proposes categorizing command messages, establishing a centralized information repository, and scheduling a daily order release to improve information accessibility and operational readiness. Although no alternative offers a perfect solution, implementing Command Message Categorization is expected to significantly enhance operational efficiency and prepare USMEPCOM for future challenges.
Long-Term Deterioration And Investment Modeling Of Water Distribution Infrastructure, Bethany M. Dorian
Long-Term Deterioration And Investment Modeling Of Water Distribution Infrastructure, Bethany M. Dorian
Theses and Dissertations
The United States Air Force (USAF) and municipal utilities rely on asset management processes to maximize utility of infrastructure assets while decreasing maintenance and repair costs. One of the core tenants of asset management is assessing the condition of the asset, which for water distribution pipes is challenging and costly to obtain. As a result, asset managers often rely upon pipe deterioration modeling using existing data, filling in the gaps when assessments are not available. This thesis uses USAF water distribution network data to develop a series of time-homogenous Markov chain probability models based on two sampling methods and four …
Advanced Oxidation Of Tert-Butanol With Ultraviolet Light Emitting Diodes And Hydrogen Peroxide, Lauren R. Mainolfi
Advanced Oxidation Of Tert-Butanol With Ultraviolet Light Emitting Diodes And Hydrogen Peroxide, Lauren R. Mainolfi
Theses and Dissertations
Tert-butanol (TBA), a versatile chemical widely used in industrial processes, poses exposure risks through inhalation, ingestion, and skin contact. Environmental contamination, often from industrial activities, emphasizes the importance of robust waste management and monitoring to protect water supplies from potential TBA migration and ensure drinking water safety. This study employed hydrogen peroxide (H2O2): TBA molar ratios of 100, 200, 400, and 500:1 in a Continuous Flow Stirred-Tank Reactor (CSTR) with UV-LED as the TBA degradation mechanism in an Advanced Oxidation Process (AOP). The UV-LEDs and H2O2 were synergistically employed to generate hydroxyl radicals in an advanced oxidation process. Gas chromatography–mass …
Retrospective Cohort Study Of Pure Tone Audiometry Hearing Changes From Ototoxic Metalsand Solvents, Continuous Noise, And Impulse Noise Exposures At Hill Air Force Base From 2005 To 2019, Zachary I. Johnson
Theses and Dissertations
This retrospective cohort epidemiological study investigated the relative risks of hearing loss associated with ototoxicants in combination with noise exposure. Utilizing Department of Defense (DoD) industrial hygiene and hearing conservation data, this research expanded on a 2020 thesis conducted on Tinker Air Force Base (AFB), applying a similar methodology to Hill AFB, adding 893 evaluated individuals. Grouped into twelve exposure combinations with a minimum of three years of exposure duration, the study assessed various hearing loss indicators, including DoD Standard Threshold Shift (STS) and NIOSH STS. Ototoxic substances consistently elevated relative risk (RR) compared to noise-only exposure groups, but none …
Qualitative Insights From Dod's Cost Community: Data Visualization Challenges And Recommendations, Izel N. Reyes
Qualitative Insights From Dod's Cost Community: Data Visualization Challenges And Recommendations, Izel N. Reyes
Theses and Dissertations
Data visualization plays a significant role in decision-making for military leadership. Cost organizations create and utilize data visualizations to reap cost-saving benefits, boost productivity, and expedite task processes. Our research aims to support the development of such tools and provide insights from cost leadership. To do this, we conducted semi-structured interviews with cost professionals to learn how cost professionals manage and view their data, as well as what day-to-day challenges they face while working in the cost community. We used grounded theory for the interview process to detect common trends and attempted to generate new theory from the interview data. …
An Analysis Of Military Construction Cost Escalation And How It Is Accounted For In Cost Estimating Practices, Benjamin D. Rieben
An Analysis Of Military Construction Cost Escalation And How It Is Accounted For In Cost Estimating Practices, Benjamin D. Rieben
Theses and Dissertations
Construction escalation is a significant economic phenomenon that plays an important role in the construction industry. It refers to the steady increase in the costs associated with facility and infrastructure projects over time. Accurately capturing escalation is a key component in the development of construction cost estimates, and failure to adequately account for escalation can have far-reaching consequences. This is especially true for Military Construction (MILCON) projects, which account for billions of dollars of defense spending annually. The Department of Defense (DoD) utilizes a unit cost approach to develop rough order of magnitude (ROM) estimates for MILCON projects. The DoD …