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Articles 66361 - 66390 of 1114185
Full-Text Articles in Entire DC Network
Review And Development Of Centralized Engineering Tool Frameworks To Enhance Productivity And Bridge Gaps In Current Engineering Processes, Elijah M. Sierra
Review And Development Of Centralized Engineering Tool Frameworks To Enhance Productivity And Bridge Gaps In Current Engineering Processes, Elijah M. Sierra
Dissertations, Master's Theses and Master's Reports
This thesis aims to tackle some of the inefficiencies with the current methods of engineering. The issues are specifically the inefficient iteration processes between preliminary design and detail level design, a lack of centralized resources, and poor project organization and management. The thesis provides a case study on the current tools that solve this issue and then presents a new proof of concept framework for an engineering tool. This tool addresses these issues by unifying calculators, databases, external tools, and project management systems under one modular platform.
The tool consists of one central GUI with multiple independent modules such as …
The Role Of Remote Sensing And Gis Techniques In Analysis Of Southern California Wildfires In January 2025, Sara Fitzgibbon
The Role Of Remote Sensing And Gis Techniques In Analysis Of Southern California Wildfires In January 2025, Sara Fitzgibbon
Dissertations, Master's Theses and Master's Reports
California is no stranger to wildfires, with them becoming more frequent and larger in recent years. In early January 2025, Southern California had one of the worst outbreaks of wildfires in its history, with the Pacific Palisades and Eaton Fires being considered among the most destructive in state history. To help prevent this from happening in the future, remote sensing techniques are essential in combating these issues. In this report, geographic information systems (GIS) and remote sensing data utilized to explore fire behavior by various organizations were investigated. By using this data, this study aims to predict and monitor fire …
Deep Learning Based Gait Video Data Validation, Michael Sensenbrenner
Deep Learning Based Gait Video Data Validation, Michael Sensenbrenner
CURE Proceedings
No abstract provided.
Climate Change And Parenthood: Impact On Family Size Decision-Making, Minha Hossain, Jennifer Lai, Mindy Engle-Friedman
Climate Change And Parenthood: Impact On Family Size Decision-Making, Minha Hossain, Jennifer Lai, Mindy Engle-Friedman
Publications and Research
This study explores how parental status relates to childbearing decisions in the context of climate change and builds on prior research linking climate anxiety to reduced family size intentions. A survey of 114 participants revealed that non-parents were significantly more likely than parents to plan to have fewer children and to express concerns about climate change. These findings underscore differences in how parents and non-parents approach future reproductive decisions and highlight the role of climate-related concerns in shaping family planning intentions.
Funding Trends In Higher Education That Have Significant Impact On Accountability, William R. Stripling
Funding Trends In Higher Education That Have Significant Impact On Accountability, William R. Stripling
Teacher Education Faculty Publications
For many years, higher education has come under fire for its lack of accountability. During this period, there has been increasing scrutiny over how universities allocate and spend their budgets. While state and federal funding sources have dwindled, the cost of operating a university has continued to rise. Politicians have publicly pressured universities to avoid raising tuition, yet this has led to public outcry over the return on investment of obtaining a higher education degree. Many parents have also expressed outrage over the rising costs and lack of accessibility. The reduction in financial resources has left many universities with limited …
Foreign Object Detection System Development Using Edge Devices Integrated With Quadcopter Autonomous Tracking, Chi-Chia Huang, Ching-Hung Lee
Foreign Object Detection System Development Using Edge Devices Integrated With Quadcopter Autonomous Tracking, Chi-Chia Huang, Ching-Hung Lee
Journal of Marine Science and Technology–Taiwan
This study proposes an all-weather autonomous foreign-object detection system capable of operating in low-light environments. We used a highly mobile quadcopter equipped with an edge-computing device as the inspection platform. On the software side, we integrated a low-light image enhancement model, a path-tracking algorithm, and a foreign object detection model to achieve rapid object detection. A lightweight, low-light image-enhancement model reduces the need for additional lighting equipment, thereby enabling reliable detection under low-light conditions. The path-tracking algorithm integrates a lightweight semantic segmentation model with traditional image-processing techniques to establish flight paths efficiently and reliably. The foreign-object detection component employs state-of-the-art …
Optimization Of Underactuated Ship Sliding Mode Controller Based On The Ddpg Algorithm, Lin Ma, Mingzhe Qi, Shicai Chen, Hongwei Bian, Jian Zhang
Optimization Of Underactuated Ship Sliding Mode Controller Based On The Ddpg Algorithm, Lin Ma, Mingzhe Qi, Shicai Chen, Hongwei Bian, Jian Zhang
Journal of Marine Science and Technology–Taiwan
Due to the development of ship intelligence, the demand for precise controllers is increasing day by day. In traditional design, the trial-and-error method often leads to the use of inaccurate controller parameters, causing oscillations when environmental disturbances are present. To address these issues, this study introduces deep learning to optimize the controller parameters, particularly those used for sliding mode controllers in underactuated ships. We adopt the Deep Deterministic Policy Gradient (DDPG) algorithm based on the Actor Critic framework. By freely setting the reward function to match the control objective, the trained model can output more accurate controller parameters, with the …
Experiments On Aluminum Alloy Additive Layer Waam Lamination Using The Arc Current Reduction Technique, Jukkapun Greebmalai, Eakkachai Warinsiriruk, Chao-Hsiang Hsiao, Yin-Tien Wang
Experiments On Aluminum Alloy Additive Layer Waam Lamination Using The Arc Current Reduction Technique, Jukkapun Greebmalai, Eakkachai Warinsiriruk, Chao-Hsiang Hsiao, Yin-Tien Wang
Journal of Marine Science and Technology–Taiwan
Recent advancements in additive manufacturing have been propelled by innovations in processes, materials, and fabrication techniques. This study specifically focuses on the optimizing Wire and Arc Additive Manufacturing (WAAM) within the Gas Metal Arc Welding (GMAW) process. The goal is to build laminated layers using aluminum alloy from the five-thousand series. In this research, a novel technique is introduced that employs a reduced arc-current during the additive layer progress for aluminum alloys, along with a double pulse current in the GMAW process to enhance weldability. The material used for addition is ER5356 aluminum wire, which is applied to an Al-5083 …
An Optimization Model For Supporting Bunkering Decisions In Bulk Shipping, Chung-Cheng Lu, Hui-Chieh Li, Hung-Yu Chen
An Optimization Model For Supporting Bunkering Decisions In Bulk Shipping, Chung-Cheng Lu, Hui-Chieh Li, Hung-Yu Chen
Journal of Marine Science and Technology–Taiwan
This study addresses a bunkering optimization problem for bulk shipping carriers that explores route deviation to find optimal bunkering locations and amounts. A mixed integer linear programming (MILP) model is developed to determine optimal bunkering decisions that minimize total operating costs, including total daily operating costs, bunkering costs, port charges and surcharges, while observing time window constraints at loading/unloading ports. The proposed model is evaluated using instances generated from real data provided by H company with its operational headquarters in Taipei, Taiwan, which operates a fleet of handysize ships in East and South Asia. The results indicate that optimization models …
Assessment Of Coastal Navigation Safety: A Case Study Of Boka Bay With Stakeholder Perspectives, Ivan Mraković, Rino Bošnjak
Assessment Of Coastal Navigation Safety: A Case Study Of Boka Bay With Stakeholder Perspectives, Ivan Mraković, Rino Bošnjak
Journal of Marine Science and Technology–Taiwan
The navigational safety of Boka Bay, i.e., a critical maritime area along the Adriatic coast, is of great importance owing to its ecological sensitivity, diverse marine traffic, and significant economic activity. This study provides a comprehensive assessment by analyzing the perspectives of various stakeholders, including seafarers, local pilots, skippers, regulatory authorities, and others engaged in maritime activities within the bay. Using a structured questionnaire survey, both quantitative and qualitative data were collected in formats such as descriptive responses, Yes/No choices, and Likert scale ratings, ensuring a well-rounded understanding of navigational practices and challenges. The data were analyzed using descriptive statistics, …
A Hybrid Model To Assess Commercial Port Resilience In Taiwan, Po-Hsing Tseng, James J.H. Liou
A Hybrid Model To Assess Commercial Port Resilience In Taiwan, Po-Hsing Tseng, James J.H. Liou
Journal of Marine Science and Technology–Taiwan
Since 2021, international commercial ports have faced unprecedented challenges (e.g., COVID-19 pandemic, Suez Canal congestion), impacting daily life, work, human well-being, properties, the environment, and socio-economic activities. The adaptation capability resilience of international commercial ports to respond to external changes has become crucial. This study develops an expert knowledge-based hybrid multi-criteria decision-making model integrating Best-Worst Method (BWM), Rough Dombi Aggregator, and Combined Compromise Solution (CoCoSo) to evaluate port resilience capabilities, using Taiwan's international commercial ports as a case study. We propose four evaluation dimensions encompassing 13 indicators: detection capability, resistance capability, resource integration capability, and recovery capability. The BWM determined …
Assessing Container Port Performance In Southeast Asia: An Environment Perspective, Phong Nha Nguyen, Gunwoo Lee, Hwayoung Kim
Assessing Container Port Performance In Southeast Asia: An Environment Perspective, Phong Nha Nguyen, Gunwoo Lee, Hwayoung Kim
Journal of Marine Science and Technology–Taiwan
The rapid expansion of Southeast Asia’s container port systems has intensified environmental concerns, necessitating an assessment of both operational and environmental efficiency. This study evaluates environmental operational efficiency by analyzing ship emissions during cargo handling at 20 major ports in 2022, using a bottom-up methodology within the SBM-DEA model. Emissions were treated as an undesirable output to compare ports’ efficiency levels. Findings indicate that rising cargo handling activities have significantly increased emissions. Larger ports in the region demonstrated higher operational efficiency than smaller ports. They also attained environmental efficiency by leveraging scale advantages, adopting advanced technology, and investing in green …
An Evaluation Of The Possibility And Effectiveness Of Renewable Energy In Container Terminal At Jinhae New Port, Min-Seop Sim, Yul-Seong Kim, Chang-Hee Lee
An Evaluation Of The Possibility And Effectiveness Of Renewable Energy In Container Terminal At Jinhae New Port, Min-Seop Sim, Yul-Seong Kim, Chang-Hee Lee
Journal of Marine Science and Technology–Taiwan
The international goals of combating climate change and reducing greenhouse gas emissions are driving container terminal operators to adopt renewable energy solutions. This study evaluated the feasibility and effectiveness of introducing renewable energy and eco-fuels for energy independence at the Jinhae New Port Container Terminal, South Korea. Using portfolio analysis, eight renewable energy technologies (solar power, solar thermal energy, wind energy, hydropower, marine energy, geothermal energy, bioenergy, and waste-to-energy) and seven eco-friendly fuels (electricity, liquefied natural gas, liquefied petroleum gas, hydrogen fuel cells, ammonia fuel cells, bioenergy, and hybrid systems) were assessed. Survey data from stakeholders identified solar, wind, and …
Worker And Consumer Choice In The Process Of Structural Transformation, Matthew Schwartzman
Worker And Consumer Choice In The Process Of Structural Transformation, Matthew Schwartzman
Yale Graduate School of Arts and Sciences Dissertations
Economic development encompasses more than just growth of average productivity and income per capita. Growth cannot occur without a broader process of structural transformation that reallocates economic activity across production units, sectors, and locations. This reallocation depends on workers’ choices of where and how to supply their labor and consumers’ choices of what to consume. The three chapters of my dissertation examine different forces that influence worker and consumer choices – such as labor market frictions, market access costs, uninsurable risk, and technological spillovers – and these choices’ implications for the aggregate path of the economy.
Services are the largest …
Evaluating Dietary Consequences On Body Mass And Thermal Heat Flux Of North American Bison (Bison Bison) Yearling Heifers, Kendall Marie Wald
Evaluating Dietary Consequences On Body Mass And Thermal Heat Flux Of North American Bison (Bison Bison) Yearling Heifers, Kendall Marie Wald
Electronic Theses and Dissertations
No abstract provided.
Deciphering Genetic Contributions To Antibiotic Persistence: Insights From Multi-Gene Knockout Studies, Elise K. Schweer
Deciphering Genetic Contributions To Antibiotic Persistence: Insights From Multi-Gene Knockout Studies, Elise K. Schweer
Electronic Theses and Dissertations
Antibiotic resistance is a critical global health challenge, complicating efforts to treat bacterial infections effectively. Antibiotic persistence plays a significant role in driving resistance. Persisters are a subpopulation of non-dividing bacterial cells that often evade lethal antibiotic treatment. Once antibiotics are removed, these cells "resurrect," resuming growth and may lead to relapsing infections. Notably, the progeny of persister cells exhibit a heightened tendency to acquire mutations or incorporate antibiotic resistance genes, further compounding the challenge of antibiotic resistance. In our recent study, we knocked out seven hypothetical genes and observed a significant reduction in persister levels. Compared to the wild …
Optimizing Heifer Development On Dormant Rangelands By Integrating Precision Livestock Technologies With The Range Supplementation Model And The Evaluation Of Short-Term Rotations Of Precision Technology On Plant Communities, Hadley Ann Dotts
Electronic Theses and Dissertations
Heifer development on dormant rangelands offers a cost-effective alternative to feedlot or drylot systems. However, traditional bunk supplementation methods often result in uneven intake, inefficient feed use, and ecological degradation around static feeding sites. This thesis evaluated the integration of precision livestock technologies and a dynamic Range Supplementation Model to improve individual animal performance, weight uniformity, and rangeland sustainability in extensive heifer development systems in the Northern Great Plains. The first study involved a seven-month trial (November 2023–May 2024) with 50 yearling Angus heifers grazing dormant native rangelands at the SDSU Cottonwood Field Station. Heifers were stratified into two treatments: …
Evaluating Online Resources: Providing Parents With Reliable Emotional Intelligence Training Tools, Melissa Van Embden
Evaluating Online Resources: Providing Parents With Reliable Emotional Intelligence Training Tools, Melissa Van Embden
PCOM Psychology Dissertations
The rise of online resources has produced a shift in how parents seek guidance in fostering their child’s emotional intelligence (EI). Yet, the quality and accessibility of these resources remain largely unexamined. This study evaluates the top Google search results generated from six prompts designed to reflect the information-seeking behavior of parents looking to develop their child’s EI. Using an incognito browser, the first 20 links for each prompt were recorded, with Google Gemini AI-generated responses specifically marked. The researcher vetted the recorded links by utilizing a comprehensive checklist assessing professional credibility, communication and engagement features, and pricing. The Findings …
Acculturation, Self-Esteem, Family Norms, And Disordered Eating Behaviors In South Asian Women, Angela Abraham
Acculturation, Self-Esteem, Family Norms, And Disordered Eating Behaviors In South Asian Women, Angela Abraham
PCOM Psychology Dissertations
This study investigated the relationships among acculturation, self-esteem, family norms, and disordered eating behaviors among South Asian women living in the United States. Although research suggests culture plays a role in the etiology of eating disorders, little information on the experiences of South Asian women exists. This study sought to fill this gap in the literature. Using a cross-sectional, quantitative survey-based design, 151 South Asian women provided insight into their experiences with family norms, acculturation, self-esteem, and eating behaviors. Results indicated that acculturation was not significantly associated with disordered eating. However, self-esteem was found to be negatively associated with disordered …
Testing The Effect Of Source And Environment On Native Seed Germination To Inform Seed-Based Restoration Of Grasslands, Brandon Clark
Testing The Effect Of Source And Environment On Native Seed Germination To Inform Seed-Based Restoration Of Grasslands, Brandon Clark
Electronic Theses and Dissertations
Grasslands are one of the most endangered ecosystems on the planet, and they provide a variety of important ecosystem services that people rely on. Losses of grasslands can be mitigated through restoration. Seed-based restoration is a regularly used practice due to its practicality and cost-effectiveness. Planting non-local seed that may not be suitable for its destination environment can have consequences in plant establishment and subsequent restoration success. This experiment tested the response (final germination and germination rate) of seed from 11 perennial tallgrass species sourced from 3 different locations to different germination temperature conditions. Seeds from three sources of each …
Global Spectral Clustering Of Temporally Stable Pixels For Epics Identification, Validation, And Hyperspectral Assignment For Satellite Calibration, Juliana Maria Fajardo Rueda
Global Spectral Clustering Of Temporally Stable Pixels For Epics Identification, Validation, And Hyperspectral Assignment For Satellite Calibration, Juliana Maria Fajardo Rueda
Electronic Theses and Dissertations
No abstract provided.
Refinement Of Trend-To-Trend Cross Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (Epics) Global Temporally Stable Target, Minura Samaranayake
Refinement Of Trend-To-Trend Cross Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (Epics) Global Temporally Stable Target, Minura Samaranayake
Electronic Theses and Dissertations
Cross-calibration is an essential technique for calibrating Earth Observation satellite sensors, which involves taking nearly simultaneous images of a ground target to compare uncalibrated sensor to a well-calibrated reference sensor. This study introduces the hyperspectral Trend-to-Trend (T2T) cross-calibration technique utilizing EPICS Cluster 13 Global Temporally Stable (Cluster 13-GTS) as the calibration target, offering better temporal stability than previous targets used in T2T cross-calibration by an absolute difference of 0.4%, between coefficients of variation across all bands excluding CA band. A multispectral sensor-specific normalized hyperspectral profile was developed using the EO-1 Hyperion hyperspectral profile over Cluster 13-GTS to improve Spectral Band …
Designing An Undergraduate Opera Workshop Curriculum For Universities, Christopher L. Burchett
Designing An Undergraduate Opera Workshop Curriculum For Universities, Christopher L. Burchett
Theses and Dissertations--Music
The world of opera is quickly evolving to keep pace with the other arts forms of film, television and Broadway theater. For many years the genre had been reluctant to change with the times and update the skills of their performers. Those days have passed. Today’s operatic performers must be better actors, better movers and more theatrically efficient with their overall skill set in addition to having the secured singing technique that has for so long been the top priority. Universities must take ownership of this training.
Today’s university opera workshop programs must be more than they have been in …
A Twenty-First Century Approach To Darius Milhaud's Saudades Do Brasil, Paige H. Crain
A Twenty-First Century Approach To Darius Milhaud's Saudades Do Brasil, Paige H. Crain
Theses and Dissertations--Music
French composer Darius Milhaud (1892-1974) lived in Rio de Janeiro, Brazil from February 1917 to November 1918. Milhaud’s experience in Rio was overwhelmingly positive, and several of his works were influenced by this period of his life, one being a suite for solo piano titled Saudades do Brasil, Op. 67. Inspired by Brazilian popular music, this piece is an example of exoticism, a trend of writing music based on cultures other than the composer’s own. Considering that exoticism historically has the potential to perpetuate harmful stereotypes or generate false information, this research delves into Saudades do Brasil, exploring …
The Richness Of Perception: Dynamic Visual Representations From Static Images, Kimberly Wong
The Richness Of Perception: Dynamic Visual Representations From Static Images, Kimberly Wong
Yale Graduate School of Arts and Sciences Dissertations
What is the purpose of visual perception? The most common explanations suggest that “seeing” is for answering the question ‘What’s out there?’ — giving us information about the features and objects in the current local environment. This dissertation, in contrast, suggests a different approach: seeing is also for answering the question ‘What’s happening?’ — and the related questions ‘What just Happened?’ and ‘What’s about to happen?’. The critical difference is that while the more common answer seems implicitly static, these newer answers are intrinsically dynamic. This dissertation proposes that visual processing represents even certain static images …
Exploring Research And Tools In Ai Security: A Systematic Mapping Study, Sidhant Narula, Mohammad Ghasemigol, Javier Carnerero-Cano, Amanda Minnich, Emil Lupu, Daniel Takabi
Exploring Research And Tools In Ai Security: A Systematic Mapping Study, Sidhant Narula, Mohammad Ghasemigol, Javier Carnerero-Cano, Amanda Minnich, Emil Lupu, Daniel Takabi
School of Cybersecurity Faculty Publications
With the pervasive integration of artificial intelligence (AI) in various facets of modern technology, the importance of AI security has been thrust into the spotlight. The field is rapidly evolving, with new challenges and solutions emerging at a swift pace. However, the breadth and depth of AI security research have not been comprehensively mapped in recent times, presenting a crucial need for an extensive review and synthesis of existing literature. Given the increasing reliance on AI in critical domains such as healthcare, finance, and national security, ensuring the resilience and trustworthiness of these systems is imperative. This survey fulfills the …
A New Simulation Framework For Analyzing Neutrosophic Data In Experimental Design, Muhammad Aslam, Nasrullah Khan, Florentin Smarandache
A New Simulation Framework For Analyzing Neutrosophic Data In Experimental Design, Muhammad Aslam, Nasrullah Khan, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
A recent simulation-based classical analysis has been developed for interval data. However, a review of the literature indicates that these existing simulations have notable limitations and fail to conform to the neutrosophic statistical framework. In this paper, we propose a novel simulation process designed to analyze neutrosophic data within an appropriate and rigorous neutrosophic framework. We demonstrate that the proposed simulation is more comprehensive and aligns closely with the principles of neutrosophic theory. The results will be obtained through simulation and compared with those of existing methods, with the expectation that the proposed approach provides substantial improvements and is better …
The Many Faces Of Christ: Understanding ‘Trifacial Trinity’ By Gregorio Vasquez Arce Y Ceballos, Analisa Maria Peña
The Many Faces Of Christ: Understanding ‘Trifacial Trinity’ By Gregorio Vasquez Arce Y Ceballos, Analisa Maria Peña
2026 Award Winners
No abstract provided.
Virtual Personalities And Smart Analytics In The Digital Environment: Legal And Applied Framework For Big Data And Financial Transaction, Hazim Akram Sallal, Faris Kamil Mihna, Lobna Abdalhusen Al-Seedi, Mustafa Abdulfattah Habeeb, Yahya Layth Khaleel
Virtual Personalities And Smart Analytics In The Digital Environment: Legal And Applied Framework For Big Data And Financial Transaction, Hazim Akram Sallal, Faris Kamil Mihna, Lobna Abdalhusen Al-Seedi, Mustafa Abdulfattah Habeeb, Yahya Layth Khaleel
Mesopotamian Journal of Big Data
The rapid progress of artificial intelligence (AI) has altered the very nature of the digital systems that ground today's legal and financial institutions. This study is cross-discipline research that constructs an integrated framework that connects digital identity, AI-based digital wallets, and information governance across a singular legal-technological approach. It considers the consequences of AI reshaping economic exchange, digital identity management, and communication and its mediation by autonomous virtual identities that can carry out actions characteristic of observable real-world social and economic experiences. The study uses a comparison of the regulatory mechanisms in Iraq, Europe, and the US context to convey …
Leaf-Based Varietal Categorization Of Sweetpotato (Ipomoea Batatas L. Lam.), A Potentially Healthful Vegetable, Using Image Processing And K-Means Clustering, Shahidul Islam, Md Towfiqur Rahman, Md Hamidul Rahman, Abdul Momin
Leaf-Based Varietal Categorization Of Sweetpotato (Ipomoea Batatas L. Lam.), A Potentially Healthful Vegetable, Using Image Processing And K-Means Clustering, Shahidul Islam, Md Towfiqur Rahman, Md Hamidul Rahman, Abdul Momin
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
Sweetpotato (Ipomoea batatas Lam) leaves contain higher concentrations of phenolic compounds, flavonoids, and carotenoids that are remarkable in health promotion. However, the nutrient content in sweetpotato leaves varies from variety to variety, and leaf shape and color are the key identifying factors for the varietal classification of sweetpotatoes. So, detecting sweetpotato leaves is essential for the in-situ identification of sweetpotato varieties and for developing intelligent agricultural systems. This study aimed to create a leaf-shape-based varietal classification technique for sweetpotato using image processing techniques coupled with a K-means clustering algorithm. 38 leaf images (RGB) of two sweetpotato cultivars were collected …