Digital Commons Network^™

Measuring The Lengths Of Sperm Whales Of The Northern Gulf Of Mexico By Wavelet Analysis Of Their Usual Clicks, George Drouant

LSU New Orleans Theses and Dissertations

Abstract

Acoustic recordings of underwater sounds produced by marine mammals present an attractive alternative to costly and logistically complex ship based visual surveys for collecting population data for various species.

The first reported use of underwater acoustic recordings in the long-term monitoring of sperm whale populations was by Ackleh et al. (Ackleh et al., 2012). The paper describes counting sperm whale clicks at different locations to track population changes over time.

Analysis of sperm whale clicks offers additional insight into sperm whale populations. The echo location clicks (usual clicks) of sperm whales can be used to give an estimate of …

Designing A Modular French Drain Driveway: Addressing The Impact Of Stormwater Runoff From Residential Communities, Tomer Baltinester

Construction Management

Stormwater runoff poses a significant threat to the environment and can have in impact on public health. Contaminants from our homes accumulate in stormwater and flow down our streets into our sewer systems. Ultimately, the hazardous water ends up in various natural waterways, creating a substantial pollution problem which harms the local ecosystem. Of the millions of driveways across the country, almost all are underutilizing the footage of land that they are occupying. By developing an easy-to-incorporate drainage system, a large portion of stormwater that would normally flow into the street can be contained within the property beneath the driveway. …

Globally-Distributed Microbial Eukaryotes Exhibit Endemism At Deep-Sea Hydrothermal Vents, Sarah K. Hu, Amy R. Smith, Rika E. Anderson, Sean P. Sylva, Michael Setzer, Maria Steadmon, Kiana L. Frank, Eric W. Chan, Darlene S. S. Lim, John A. Breier

School of Earth, Environmental, & Marine Sciences Faculty Publications

Single-celled microbial eukaryotes inhabit deep-sea hydrothermal vent environments and play critical ecological roles in the vent-associated microbial food web. 18S rRNA amplicon sequencing of diffuse venting fluids from four geographically- and geochemically-distinct hydrothermal vent fields was applied to investigate community diversity patterns among protistan assemblages. The four vent fields include Axial Seamount at the Juan de Fuca Ridge, Sea Cliff and Apollo at the Gorda Ridge, all in the NE Pacific Ocean, and Piccard and Von Damm at the Mid-Cayman Rise in the Caribbean Sea. We describe species diversity patterns with respect to hydrothermal vent field and sample type, identify …

New Paths Of Attacks: Revealing The Adaptive Integration Of Artificial Intelligence In Evolving Cyber Threats Targeting Social Media Users And Their Data, Larry Teasley

Cybersecurity Undergraduate Research Showcase

The intersection between artificial intelligence tools and social media has opened doors to numerous opportunities and risks. This research delves into the escalating threat landscape in a society heavily dependent on social media. Despite the efforts by social media companies and cybersecurity professionals to mitigate cyber-attacks, the constant advancements of new technologies render social media platforms increasingly vulnerable. Malicious actors exploit generative AI to collect user data, enhancing cyber threats on social media. Notably, generative AI amplifies phishing attacks, disseminates false information, and propagates propaganda, posing substantial challenges to platform security. Ease access to large language models (LLMs) further complicates …

A Review Of Threat Vectors To Dna Sequencing Pipelines, Tyler Rector

Cybersecurity Undergraduate Research Showcase

Bioinformatics is a steadily growing field that focuses on the intersection of biology with computer science. Tools and techniques developed within this field are quickly becoming fixtures in genomics, forensics, epidemiology, and bioengineering. The development and analysis of DNA sequencing and synthesis have enabled this significant rise in demand for bioinformatic tools. Notwithstanding, these bioinformatic tools have developed in a research context free of significant cybersecurity threats. With the significant growth of the field and the commercialization of genetic information, this is no longer the case. This paper examines the bioinformatic landscape through reviewing the biological and cybersecurity threats within …

University Faculty Perceptions Of Professional Development: Impact And Effectiveness, Claudia Vela, Velma D. Menchaca, Hilda Silva

Organization and School Leadership Faculty Publications

The purpose of this study was to examine faculty perceptions of the effectiveness and impact of professional development programs and activities in the areas of teaching, research, and service. This qualitative phenomenological study was conducted in a four-year Hispanic-serving institution in South Texas. It focused on exploring tenured and tenure-track faculty perceptions and experiences of their participation in professional development to help them meet tenure and promotion expectations. Analysis of data showed that faculty had mixed feelings about the workshops and training sessions that were offered on campus. However, networking, collaboration, and access to resources and technology were practices that …

Rsif Ghana Country Report 2023, Regional Scholarship And Innovation Fund (Rsif)

Rsif Country Progress Reports

Science, technology, and innovation are key drivers in Ghana’s transition to a sustainable economic model, with high prospects of value addition and diversification. Ghana is one of the nine African countries that is contributing to the Regional Scholarship and Innovation Fund (Rsif) of the Partnership for skills in Applied Sciences, Engineering and Technology (PASET) since 2019. Its contribution of USD 2 million is through the World Bank supported Africa Centres of Excellence for Higher Education for Development Impact (ACE Impact) project, to train Ghanaian PhD students in selected African host universities and collaborating with international partner institutions. Through PASET-Rsif, Ghana …

Rsif Mozambique Country Report 2023 - English, Regional Scholarship And Innovation Fund (Rsif)

Rsif Country Progress Reports

Mozambique is one of the fastest growing economies in Sub Saharan Africa, with GDP growth of 4.8% in 2023 and 8.3% projected in 2024, according to the African Development Bank. Mozambique is paying great attention to higher education, science and innovation to increase the proportion of scientifically skilled workforce that is necessary to sustain and increase growth opportunities. Mozambique is one of the nine African countries that is contributing to the Regional Scholarship and Innovation Fund (Rsif) of the Partnership for skills in Applied Sciences, Engineering and Technology (PASET), since 2021. Its contribution of USD 6 million is through the …

Rsif Rwanda Country Report 2023, Regional Scholarship And Innovation Fund (Rsif)

Rsif Country Progress Reports

Rwanda is among the world’s fastest growing economies with a projected growth in GDP of 8.0% in 2024 according to the African Development Bank. The need for highly skilled human capital is a driver for Rwanda’s Vision 2050. Investing in higher education, research and innovation will enable Rwanda to close the skills gap and contribute to sustainable economic growth and development. Rwanda is one of the nine African countries that are contributing to the Regional Scholarship and Innovation Fund (Rsif) of the Partnership for skills in Applied Sciences, Engineering and Technology (PASET) since 2015. It’s committed contribution is USD 4 …

Rsif Nigeria Country Report 2023, Regional Scholarship And Innovation Fund (Rsif)

Rsif Country Progress Reports

Nigeria is Africa’s biggest economy. Investment in higher education and research can be a catalyst for positive change and innovation. Moreover, Nigeria’s participation in Rsif is advancing a Pan-African approach, internationalization and intra-Africa mobility. Nigeria is one of the nine African countries that is contributing to the Regional Scholarship and Innovation Fund (Rsif) of the Partnership for skills in Applied Sciences, Engineering and Technology (PASET) since 2022. Its contribution of USD 4 million is through the World Bank supported Africa Centres of Excellence for Higher Education for Development Impact (ACE Impact) project, to train Nigerian PhD students in selected African …

Rsif Burkina Faso Country Report 2023 - English, Regional Scholarship And Innovation Fund (Rsif)

Rsif Country Progress Reports

The rationale for Rsif is that Africa requires world class scientists in priority thematic disciplines that are relevant to national economic growth. Highly skilled human capital will advance implementation of Burkina Faso’s sustainable and inclusive development. Burkina Faso is one of the nine African countries that is contributing to the Regional Scholarship and Innovation Fund (Rsif) of the Partnership for skills in Applied Sciences, Engineering and Technology (PASET) since 2020. Its contribution of USD 2 million is through the World Bank supported Africa Centres of Excellence for Higher Education for Development Impact (ACE Impact) project and is to train Burkinabè …

The Digital Engine Model: Generating Leads Through The Application Of Dcm And Inbound Marketing, Kyle A. Huggins, John D. Hansen

Journal of Applied Marketing Theory

Digital Content Marketing (DCM) has become a primary tool for marketers in driving lead generation in today’s digital marketing world. Leading brands are creating and curating content trying to build brand equity and trust, connecting content to consumer action through brand story. And while strong theoretical models of content marketing have been discussed in the marketing literature, like Hollebeek and Macky (2019), there is a dearth of understanding about the application and direct impact of organic digital content strategies on marketing directives. This paper investigates an applied model, called The Digital Engine, which provides instruction on proper inbound marketing techniques …

Building Squares With Optimal State Complexity In Restricted Active Self-Assembly, Robert M. Alaniz, David Caballero, Sonya C. Cirlos, Timothy Gomez, Elize Grizzell, Andrew Rodriguez, Robert Schweller, Armando Tenorio, Tim Wylie

Computer Science Faculty Publications

Tile Automata is a recently defined model of self-assembly that borrows many concepts from cellular automata to create active self-assembling systems where changes may be occurring within an assembly without requiring attachment. This model has been shown to be powerful even with limited assembly size, but many fundamental questions have yet to be explored. Here, we study the state complexity of assembling n×n squares in seeded Tile Automata systems where growth starts from a seed and tiles attach one at a time, similar to the abstract Tile Assembly Model. We provide optimal bounds for three classes of seeded Tile Automata …

Microstructure, Mechanical Properties And Oxidation Behavior Of Refractory Multi-Principal Element Alloys By Laser Remelting And Conventional Manufacturing, Visharad Jalan, Seth Crawford, Sung Heng Wu, Frank Liou, Haiming Wen

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Refractory multi-principal element alloys (RMPEAs), HfNbTaTiZr, (HfNbTaTiZr)9Cr, and (HfNbTaTiZr)9Al, were manufactured using vacuum arc melting followed by laser remelting to mimic additive manufacturing. the microhardness of the as-cast HfNbTaTiZr, (HfNbTaTiZr)9Cr, and (HfNbTaTiZr)9Al samples after arc melting was measured as 6.20, 7.63, and 6.89 Gpa, respectively. after laser remelting and re-solidification, the hardness increased by ~ 30% for each composition; the hardest was (HfNbTaTiZr)9Cr measured at 9.60 GPa, while the softest was HfNbTaTiZr with a hardness of 8.42 GPa, which was still harder compared to all the other samples. the addition of Al and Cr led to enhanced oxidation resistance for …

Atmospheric-Moisture-Induced Polyacrylate Hydrogels For Hybrid Passive Cooling, Roisul Hasan Galib, Yanpei Tian, Yue Lei, Saichao Dang, Xiaole Li, Arief Yudhanto, Gilles Lubineau, Qiaoqiang Gan

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Heat stress is being exacerbated by global warming, jeopardizing human and social sustainability. As a result, reliable and energy-efficient cooling methods are highly sought-after. Here, we report a polyacrylate film fabricated by self-moisture-absorbing hygroscopic hydrogel for efficient hybrid passive cooling. Using one of the lowest-cost industrial materials (e.g., sodium polyacrylate), we demonstrate radiative cooling by reducing solar heating with high solar reflectance (0.93) while maximizing thermal emission with high mid-infrared emittance (0.99). Importantly, the manufacturing process utilizes only atmospheric moisture and requires no additional chemicals or energy consumption, making it a completely green process. Under sunlight illumination of 800 W …

The Role Of Atomic Layer Deposited Coatings On Lithium-Ion Transport: A Comprehensive Study, Yufang He, Hiep Pham, Xinhua Liang, Jonghyun Park

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The Use of Ultrathin Film Coatings Prepared through Atomic Layer Deposition (ALD) Has Become Widespread for Improving Lithium-Ion Diffusivity of Active Particles, Which Plays a Crucial Role in Determining the Rate Capability of Lithium-Ion Batteries (LIBs). in This Study, the Impact of ALD Coating Thickness on Ionic Diffusivity in CeO2-Coated LiMn2O4 (LMO) Cathode Particles is Comprehensively Investigated through First-Principles Calculations by Focusing on the Trade-Offs between the Physical Properties of the Film and its Impact on the Diffusivity of Ions. Our Findings Indicate that Several Physical Factors Affect the Diffusivity of the Coating, Including the Crystal-Amorphous Structure that Depends on …

Supporting Software Engineers With Large Language Model-Based Automation, Ting Zhang

Dissertations and Theses Collection (Open Access)

In recent years, software engineering (SE) has witnessed significant growth, leading to the creation and sharing of an abundance of software artifacts such as source code, bug reports, and pull requests. Analyzing these artifacts is crucial for comprehending the sentiments of software developers and automating various SE tasks, ultimately leading to more human-centered automated SE and enhancing software development efficiency. However, the diverse and unstructured nature of software text poses a significant challenge to this analysis. In response, researchers have investigated a variety of approaches, including the utilization of natural language processing techniques. The advent of large language models (LLMs), …

Towards Securing Smart Contracts Systematically, Duy Tai Nguyen

Dissertations and Theses Collection (Open Access)

Smart contracts are a groundbreaking technique that allows users to programmatically modify the state of the blockchain. They are essentially self-enforcing programs that are deployed and executed on top of the blockchain. In recent years, we have witnessed various smart contract incidents that led to substantial financial losses and even business closures. These incidents mainly arise from design flaws in Solidity, a dominant programming language for writing smart contracts, which complicates the process of detecting and repairing vulnerabilities. Furthermore, there is a growing interest in attacking smart contracts by the attackers. This thesis is dedicated to developing effective methods to …

Technical Maturity And Network Effects Of Xf Artificial Intelligence Open Platform, Tao Jiang

Dissertations and Theses Collection (Open Access)

Studying the impact mechanism of the commercial value of artificial intelligence open technology platforms has theoretical and practical significance. This article aims to enrich and expand the theoretical research on technology maturity, value co creation, and network effects on open technology platforms at home and abroad through empirical research on artificial intelligence open technology platforms and ecology. This study takes XF's open technology platform case as the research object, and based on technology maturity theory, value co creation, and network effects theory, examines the network effect value creation mechanism of open technology platforms driven by technology maturity in three development …

Effects Of Simultaneous Co2 Addition To The Fuel And Oxidizer Streams On Soot Formation In Co-Flow Diffusion Ethylene Flame, Yu Yang, Shu Zheng, Yuzhen He, Hao Liu, Ran Sui, Qiang Lu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Soot formation in a co-flow diffusion ethylene flame with the addition of CO₂ to the fuel (the CO₂-F), oxidizer (the CO₂-O), and fuel/oxidizer (the CO₂-F/O) streams was numerically and experimentally investigated in this study. The effects of different CO₂ addition ways on soot inception, soot condensation, H-abstraction-C₂H₂-addition (HACA) and oxidation by O₂/OH processes, were quantitatively analyzed by introducing the integrated reaction rates over the whole computational domain. The simulated and experimental results showed that the CO₂-F/O was the most effective in inhibiting soot formation …

A New Approach To Predicting Vertical Permeability For Carbonate Rocks In The Southern Mesopotamian Basin, Emad A. Al-Khdheeawi, Raed H. Allawi, Wisam I. Al-Rubaye, Stefan Iglauer

Research outputs 2022 to 2026

Reservoir performance depends on many factors, and the most important one is permeability anisotropy. In addition, with high heterogeneity, it is essential to find unique relationships to predict permeability. Therefore, this study aims to predict vertical permeability based on horizontal permeability and porosity and to find new equations for carbonate reservoirs. This work relied on the 398 measured points of cores data collected from several wells in carbonate reservoirs. A new correlation for predicting vertical permeability for the whole data (369 samples) as a function of horizontal permeability and porosity has been developed. The results indicate that this new correlation …

Organisational Drivers And Sustainability Implementation In The Mining Industry: A Holistic Theoretical Framework, Prince Amoah, Gabriel Eweje

Research outputs 2022 to 2026

While few studies have examined the role of institutional pressures on sustainable business practices, there is a dearth of empirical research regarding the influence of internal organisational characteristics on sustainability implementation in developing countries. This paper examines internal organisational features and how they influence multinational companies (MNCs) operating in a resource-rich developing country to embrace and embed sustainability into corporate policies and practices. The findings show that the history of past sustainable practices, the level of internationalisation and managerial cognition internally drive MNCs to implement sustainability in their host countries. We discuss that managerial cognition drives MNCs to embrace sustainability …

An Optimized Search For Dark Matter In The Galactic Halo With Hawc, A. Albert, R. Alfaro, C. Alvarez, J. C. Arteaga-Velázquez, D. Avila Rojas, H. A. Ayala Solares, E. Belmont-Moreno, K. S. Caballero-Mora, T. Capistrán, A. Carramiñana, S. Casanova, O. Chaparro-Amaro, U. Cotti, J. Cotzomi, E. De La Fuente, R. Diaz Hernandez, B. L. Dingus, M. A. Duvernois, M. Durocher, J. C. Diaz-Velez, C. Espinoza, M. M. Gonzalez, J. A. Goodman, J. P. Harding, D. Huang, F. Hueyotl-Zahuantitla, A. Iriarte, V. Joshi, G. J. Kunde, J. Lee, H. Leon Vargas, J. T. Linneman, A. L. Longinotti, G. Luis-Raya, J. Lundeen, K. Malone, O. Martinez, J. Martinez-Castro, J. A. Matthews, E. Moreno, M. Mostafa, A. Nayerhoda, L. Nellen, A. Peisker, E. G. Perez-Perez, C. D. Rho, D. Rosa-Gonzalez, H. Salazar, D. Salazar-Gallegos, A. Sandoval, J. Serna-Franco, R. W. Springer, O. Tibolla, K. Tollefson, I. Torres, R. Torres-Escobedo, R. Turner, F. Urena-Mena, L. Villasenor, Xiaojie Wang, H. Zhou, C. De Leon

Physics Faculty Research & Creative Works

The Galactic Halo is a key target for indirect dark matter detection. The High-Altitude Water Cherenkov (HAWC) observatory is a high-energy (∼300 GeV to >100 TeV) gamma-ray detector located in central Mexico. HAWC operates via the water Cherenkov technique and has both a wide field of view of ∼ 2 sr and a >95% duty cycle, making it ideal for analyses of highly extended sources. We made use of these properties of HAWC, and a new background-estimation technique optimized for extended sources to probe a large region of the Galactic Halo for dark matter signals. With this approach, we set …

Modeling And Simulation Of Flotation Reagents System In Anionic Reverse Iron Oxide Flotation At Different Temperatures, Ying Hou, Ahmed Sobhy

Mining Engineering Faculty Research & Creative Works

Removal of quartz from iron ore was accomplished industrially via an anionic reverse flotation technique. However, in that kind of flotation, the interaction of the flotation reagents with the components of the feed sample makes the flotation a complicated system. Thus, the selection and optimization of regent dosages at various temperatures were performed using a uniform experimental design to estimate the optimum separation efficiency. Besides, the produced data as well as the reagent system were mathematically modeled at different flotation temperatures, and the graphical user interface GUI of MATLAB was conducted. The advantage of this procedure is that the user …

Construing Children’S Perceptions Of Ideal Learning Spaces Based On Personal Construct Theory, Rawan Natheer Abdel Rahman

Theses

Learning is an intrinsic aspect of human experience, predominantly shaped by interactions within the socio-physical environment, including engagements with educators, peers, and the built surroundings. The design and character of these learning spaces influence children's cognitive, perceptual, and motor development while also embodying different pedagogical philosophies. Therefore, designing these spaces to align with educational shifts and enhance learning experiences requires a deep understanding of learner’s needs and perceptions. With the COVID-19 pandemic necessitating a shift to home-learning, there arose a unique opportunity to explore children’s perception of ideal learning spaces as they experienced both home and school settings. This research …

Termites, Bully Boys, And The Architect Of Search & Destroy: An Assessment Of General William E. Depuy As Macv J-3 And Commander Of The 1st Infantry Division, Republic Of Vietnam, 1964-67, Adam D. Coste

LSU New Orleans Theses and Dissertations

As Assistant Chief of Staff for Operations (J-3) at MACV from 1964-1966, General William DePuy served as the main architect of the campaign strategy implemented by General William Westmoreland in fighting both VC and NVA units during the earliest and most critical years of the Vietnam War. Following his role at MACV, DePuy assumed command of the 1^st Infantry Division in March 1966 where he exhibited a distinct command philosophy and transformed the organizational culture of the “Big Red One” through a series of directives and tactical innovations. Most historians are critical of Westmoreland’s chosen strategy as well as …

Deep Isolation Forest For Anomaly Detection, Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang

Research Collection School Of Computing and Information Systems

Isolation forest (iForest) has been emerging as arguably the most popular anomaly detector in recent years due to its general effectiveness across different benchmarks and strong scalability. Nevertheless, its linear axis-parallel isolation method often leads to (i) failure in detecting hard anomalies that are difficult to isolate in high-dimensional/non-linear-separable data space, and (ii) notorious algorithmic bias that assigns unexpectedly lower anomaly scores to artefact regions. These issues contribute to high false negative errors. Several iForest extensions are introduced, but they essentially still employ shallow, linear data partition, restricting their power in isolating true anomalies. Therefore, this paper proposes deep isolation …

Neural Airport Ground Handling, Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang

Research Collection School Of Computing and Information Systems

Airport ground handling (AGH) offers necessary operations to flights during their turnarounds and is of great importance to the efficiency of airport management and the economics of aviation. Such a problem involves the interplay among the operations that leads to NP-hard problems with complex constraints. Hence, existing methods for AGH are usually designed with massive domain knowledge but still fail to yield high-quality solutions efficiently. In this paper, we aim to enhance the solution quality and computation efficiency for solving AGH. Particularly, we first model AGH as a multiple-fleet vehicle routing problem (VRP) with miscellaneous constraints including precedence, time windows, …

C³: Code Clone-Based Identification Of Duplicated Components, Yanming Yang, Ying Zou, Xing Hu, David Lo, Chao Ni, John C. Grundy, Xin: Xia

Research Collection School Of Computing and Information Systems

Reinventing the wheel is a detrimental programming practice in software development that frequently results in the introduction of duplicated components. This practice not only leads to increased maintenance and labor costs but also poses a higher risk of propagating bugs throughout the system. Despite numerous issues introduced by duplicated components in software, the identification of component-level clones remains a significant challenge that existing studies struggle to effectively tackle. Specifically, existing methods face two primary limitations that are challenging to overcome: 1) Measuring the similarity between different components presents a challenge due to the significant size differences among them; 2) Identifying …

Combat Covid-19 At National Level Using Risk Stratification With Appropriate Intervention, Xuan Jin, Kar Way Tan

Research Collection School Of Computing and Information Systems

In the national battle against COVID-19, harnessing population-level big data is imperative, enabling authorities to devise effective care policies, allocate healthcare resources efficiently, and enact targeted interventions. Singapore adopted the Home Recovery Programme (HRP) in September 2021, diverting low-risk COVID-19 patients to home care to ease hospital burdens amid high vaccination rates and mild symptoms. While a patient's suitability for HRP could be assessed using broad-based criteria, integrating machine learning (ML) model becomes invaluable for identifying high-risk patients prone to severe illness, facilitating early medical assessment. Most prior studies have traditionally depended on clinical and laboratory data, necessitating initial clinic …