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Articles 1051 - 1080 of 15221
Full-Text Articles in Entire DC Network
The Quantification Of Blue Colors In Several Species Of The Avian Phylogeny, Caroline Cresson
The Quantification Of Blue Colors In Several Species Of The Avian Phylogeny, Caroline Cresson
Honors Capstones
No abstract provided.
Proposal To Add Human Trafficking Prevention Education Measures In The Ladoc, Lauren Shaw
Proposal To Add Human Trafficking Prevention Education Measures In The Ladoc, Lauren Shaw
Honors Capstones
No abstract provided.
Do Callous-Unemotional Traits Change The Association Between Environmental Stressors And Antisocial Behavior In Adolescents, Isabelle Whitfield
Do Callous-Unemotional Traits Change The Association Between Environmental Stressors And Antisocial Behavior In Adolescents, Isabelle Whitfield
Honors Capstones
No abstract provided.
Synthesis Of Tunable, Micron-Sized, Polyethylene Particles As Models For Microplastics, Ruby Roberg
Synthesis Of Tunable, Micron-Sized, Polyethylene Particles As Models For Microplastics, Ruby Roberg
Honors Capstones
No abstract provided.
Party Capability And The Decisions Of The South African Constitutional Court, Isabella Rovere
Party Capability And The Decisions Of The South African Constitutional Court, Isabella Rovere
Honors Capstones
No abstract provided.
Multi-Zone Cell-Free Synthesis Incubation Device, Chloe Heitmeier
Multi-Zone Cell-Free Synthesis Incubation Device, Chloe Heitmeier
Honors Capstones
No abstract provided.
Lost In Transcription: The Music Of Nadia Boulanger And Irene Britton Smith, Madeline Dykhouse
Lost In Transcription: The Music Of Nadia Boulanger And Irene Britton Smith, Madeline Dykhouse
Honors Capstones
No abstract provided.
Environmental Violence: Resurgence Of Ideological Radicalism And Emergence Of Climate- Driven Terrorism, Emily Clarke
Environmental Violence: Resurgence Of Ideological Radicalism And Emergence Of Climate- Driven Terrorism, Emily Clarke
Honors Capstones
No abstract provided.
Profiles Of Teacher Behavior Management Style: Perceived School Climate, Stress, And Self-Efficacy, Allison Brannon
Profiles Of Teacher Behavior Management Style: Perceived School Climate, Stress, And Self-Efficacy, Allison Brannon
Honors Capstones
No abstract provided.
“The Seed Of Envy Meets Paradise Lost”, Christian Rios Prado
“The Seed Of Envy Meets Paradise Lost”, Christian Rios Prado
Honors Capstones
No abstract provided.
Links Between Diversity And Composition Of The Avian Gut Microbiome And Resistance To Experimental Malaria Infection In House Sparrows (Passer Domesticus), Riley Noble
Honors Capstones
No abstract provided.
Engineers Of The Human Soul: Soviet Union And Cuba, Levi Mayeux
Engineers Of The Human Soul: Soviet Union And Cuba, Levi Mayeux
Honors Capstones
No abstract provided.
Nest Box-Mounted Pit Tag Readers Provide New Insight On Breeding Behaviors Of Cavity-Nesting Waterfowl In Louisiana, Katie Miranda
Nest Box-Mounted Pit Tag Readers Provide New Insight On Breeding Behaviors Of Cavity-Nesting Waterfowl In Louisiana, Katie Miranda
Honors Capstones
No abstract provided.
Investigating Expression Of R2 Retrotransposons Upon Nucleolar Stress In Drosophila Melanogaster, Madison Mills
Investigating Expression Of R2 Retrotransposons Upon Nucleolar Stress In Drosophila Melanogaster, Madison Mills
Honors Capstones
No abstract provided.
Religion And Dress Code Among Muslim, Christian, And Jewish Women In The Middle East And North Africa, Hannah Rodrigue
Religion And Dress Code Among Muslim, Christian, And Jewish Women In The Middle East And North Africa, Hannah Rodrigue
Honors Capstones
No abstract provided.
The Rhogef Puratrophin-1-Like Regulates Epithelial Tube Formation In Drosophila Melanogaster, Zahra Vafaei Naeini
The Rhogef Puratrophin-1-Like Regulates Epithelial Tube Formation In Drosophila Melanogaster, Zahra Vafaei Naeini
Honors Capstones
No abstract provided.
Retraction, N. Kinoshita, M. Paul, Y. Kashiv, P. Collon, C. M. Deibel, B. Digiovine, J. P. Greene, C. L. Jiang, S. T. Marley, R. C. Pardo, K. E. Rehm, D. Robertson, R. Scott, C. Schmitt, X. D. Tang, R. Vondrasek, A. Yokoyama
Retraction, N. Kinoshita, M. Paul, Y. Kashiv, P. Collon, C. M. Deibel, B. Digiovine, J. P. Greene, C. L. Jiang, S. T. Marley, R. C. Pardo, K. E. Rehm, D. Robertson, R. Scott, C. Schmitt, X. D. Tang, R. Vondrasek, A. Yokoyama
Faculty Publications
No abstract provided.
Louisiana Resident Perceptions On Invasive Aquatic Plant Species And Their Management, Anna Ribbeck
Louisiana Resident Perceptions On Invasive Aquatic Plant Species And Their Management, Anna Ribbeck
LSU Master's Theses
Determining the public perception of invasive species in Louisiana is an important tool to help shape and develop future management decisions, educational material and ultimately public policy. Therefore, the primary purpose of this study was to determine the perceptions of adult Louisiana residents regarding invasive aquatic plant species and their management. An online survey was used to collect data on registered Louisiana residential boaters’ perceptions towards invasive aquatic plants and their management. A postcard with a quick response code leading to the survey was mailed to 6,000 randomly selected Louisiana registered residential boaters. Of the 230 Louisiana registered boaters that …
The Function Of Transport Protein Mfl1 In Arabidopsis Thaliana, Joseph Qian
The Function Of Transport Protein Mfl1 In Arabidopsis Thaliana, Joseph Qian
LSU Master's Theses
Photosynthesis serves as the primary process for plants to synthesize ATP and sugar molecules, however, this reaction requires many cofactors such as heme, plastoquinone, and iron-sulfur clusters to assist in energy gathering and electron transfer steps. Many of these require trace metals, such as iron, to cross across the chloroplast membranes and be incorporated into proteins and other organic molecules to form useable cofactors. The light-independent reactions of photosynthesis are also inefficient, with up to 25% of the photosynthetic energy wasted to metabolize the toxic waste product glycolate. The cellular logistics of both photorespiration and iron transport have been studied, …
Recombinant Dna Vaccine Design As A Potential Strategy Against Bovine Foot And Mouth Disease Virus (Fmdv), Taylor Haynie
Recombinant Dna Vaccine Design As A Potential Strategy Against Bovine Foot And Mouth Disease Virus (Fmdv), Taylor Haynie
LSU Master's Theses
Foot-and-mouth disease virus (FMDV) is the causative agent for foot-and-mouth disease (FMD) that infects primarily cloven-hoofed animals, the majority of which are domesticated cattle and other important livestock. FMD is highly transmissible and found in all secretions and excretions of infected animals. North America, Europe, and Australia have successfully eradicated the virus with the help of a well-defined fiscal infrastructure and access to successful control measures. Less developed regions, including many Asian and African countries, have maintained an endemic status for decades. African territories are of particular concern because of the indigenous African Buffalo population that serves as an important …
An Examination Of Relationships Between Ear-Playing Skills And Intonation Skills Of High School And College-Aged Wind Instrumentalists, Ben Michael Herrick
An Examination Of Relationships Between Ear-Playing Skills And Intonation Skills Of High School And College-Aged Wind Instrumentalists, Ben Michael Herrick
LSU Doctoral Dissertations
Playing by ear and the ability to play in tune are components of musicianship that rely heavily on the ability to successfully discriminate musical pitches. Connections between ear-playing and intonation performance have rarely been addressed. The purpose of this study was to investigate relationships between intonation performance and ear-playing skills of high school and college-aged wind instrumentalists. Research questions were: (1) What is the relationship between the ability to play by ear and intonation performance? (2) How does intonation ability differ when the participants sightread notation compared to performing music that was learned by ear? (3) Do differences appear in …
Adsorption Studies At The Graphene Oxide-Liquid Interface: A Molecular Dynamics Study, Visal Subasinghege Don, Lukas Kim, Rolf David, Julia A. Nauman, Revati Kumar
Adsorption Studies At The Graphene Oxide-Liquid Interface: A Molecular Dynamics Study, Visal Subasinghege Don, Lukas Kim, Rolf David, Julia A. Nauman, Revati Kumar
Faculty Publications
The adsorption of organic aromatic molecules, namely aniline, onto graphene oxide is investigated using molecular simulations. The effect of the oxidation level of the graphene oxide sheet as well as the presence of two different halide salts, sodium chloride and sodium iodide, were examined. The aniline molecule in the more-reduced graphene oxide case, in the absence of added salt, showed a slightly greater affinity for the graphene oxide-water interface as compared to the oxidized form. The presence of the iodide ion increased the affinity of the aniline molecule in the reduced case but had the opposite effect for the more-oxidized …
Framing Addiction: How Variations Of News Stories Affect Attitudes Toward Addicts, James A. Smith
Framing Addiction: How Variations Of News Stories Affect Attitudes Toward Addicts, James A. Smith
LSU Master's Theses
Stigma toward drug addicts and alcoholics can act as a barrier to treatment and, ultimately, result in more lives lost. Over previous decades, journalists have largely framed addicts as problematic to society which contributes to public stigma. Prior research in social medicine has found that non-news portrayals of treated addicts can improve public attitudes. Similarly, studies in mass communication have found that different ways of framing news stories can elicit different attitudes from news consumers. The purpose of this study is to test the effects of thematic framing, episodic framing, problem framing, and solution framing on readers’ attitudes when journalists …
Beyond Machine Learning: An Fmri Domain Adaptation Model For Multi-Study Integration, Lauryn Michelle Burleigh
Beyond Machine Learning: An Fmri Domain Adaptation Model For Multi-Study Integration, Lauryn Michelle Burleigh
LSU Doctoral Dissertations
Traditional machine learning analyses are challenging with functional magnetic
resonance imaging (fMRI) data, not only because of the amount of data that needs to be
collected, adding a particular challenge for human fMRI research, but also due to the change in
hypothesis being addressed with various analytical techniques. Domain adaptation is a type of
transfer learning, a step beyond machine learning which allows for multiple related, but not
identical, data to contribute to a model, can be beneficial to overcome the limitation of data
needed but may address different hypothesis questions than anticipated given the analysis
computation. This dissertation assesses …
Extending Token Economy Systems For Children With Learning Disabilities And Developmental Disabilities Using Operant Behavioral Economics, Parker Levins
LSU Master's Theses
Token economy systems have been used successfully in various general and special education classrooms. Although effective, educators seldom have a priori information on the performance of their reinforcers within the schedules of reinforcement that comprise the token economy. Most token economies are initially designed based on clinical judgment and respective schedules are typically selected on an arbitrary basis (e.g., token-production Fixed Ratio 1 [FR1], exchange-production FR5). This introduces uncertainty whereby the initial arrangement may be too lax (i.e., work expectations are low for the student) or too strict (i.e., work expectations are high for the student), which both have the …
The Effect Of High Fraction Of Inspired Oxygen On Human Motor Learning Processes, Zheng Wang
The Effect Of High Fraction Of Inspired Oxygen On Human Motor Learning Processes, Zheng Wang
LSU Doctoral Dissertations
Human motor learning processes are fundamental for our daily activities and can be adversely affected by neurologic conditions. Motor learning largely depends on successfully integrating cognitive and motor-related sensory information. A simple, easily accessible treatment that could enhance these learning processes would be exciting and clinically impactful. In this dissertation, we explore the effect of normobaric 100% oxygen treatment (NbOxTr) during different motor learning tasks and investigate the brain oxygenation changes during the process. In the visuomotor adaptation task (VMA), when participants adapted to a visual distortion between visual feedback and hand movements, participants with NbOxTr exhibited better movement planning …
Computational Reverse-Engineering Analysis For Scattering Experiments For Form Factor And Structure Factor Determination (“P(Q) And S(Q) Crease”), Christian M. Heil, Yingzhen Ma, Bhuvnesh Bharti, Arthi Jayaraman
Computational Reverse-Engineering Analysis For Scattering Experiments For Form Factor And Structure Factor Determination (“P(Q) And S(Q) Crease”), Christian M. Heil, Yingzhen Ma, Bhuvnesh Bharti, Arthi Jayaraman
Faculty Publications
In this paper, we present an open-source machine learning (ML)-accelerated computational method to analyze small-angle scattering profiles [I(q) vs q] from concentrated macromolecular solutions to simultaneously obtain the form factor P(q) (e.g., dimensions of a micelle) and the structure factor S(q) (e.g., spatial arrangement of the micelles) without relying on analytical models. This method builds on our recent work on Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE) that has either been applied to obtain P(q) from dilute macromolecular solutions (where S(q) ∼1) or to obtain S(q) from concentrated particle solutions when P(q) is known (e.g., sphere form factor). This paper’s …
A Data-Driven Multivariate Process Monitoring Platform For Knowledge Discovery And Model Building In Industrial Applications, Estelle E. Seghers
A Data-Driven Multivariate Process Monitoring Platform For Knowledge Discovery And Model Building In Industrial Applications, Estelle E. Seghers
LSU Master's Theses
In industrial chemical manufacturing processes, the amount of raw data generated can add complexity in the analysis and understanding of the process dynamics. Being able to properly interpret this data can help improve plant operation, especially regarding safety and profitability. This research has culminated in FastMan-JMP, a platform proposed for monitoring of industrial processes and optimization of the offline data-driven model-building process as part of the process monitoring workflow. FastMan-JMP is a tool developed in Python to apply various data mining and machine learning techniques quickly and easily to better understand valuable patterns and hidden trends in process data. One …
Evaluating Sensory Quality, Willingness To Try, Risk And Product Appropriateness Of Seafood Byproducts, Silvia Jessenia Murillo Miguez
Evaluating Sensory Quality, Willingness To Try, Risk And Product Appropriateness Of Seafood Byproducts, Silvia Jessenia Murillo Miguez
LSU Master's Theses
Valorization of food wastes/byproducts has become a major subject of research to increase sustainability of the global food supply chain. Seafood industries generate a substantial quantity of byproducts. An online survey was used to evaluate Willingness-to-try (WTT), the effect of a Consumer Safety Statement (CSS) on WTT, perceived risks and product appropriateness associated with seafood byproducts in food as influenced by gender and race. Based on the finding from this survey, a clean label catfish bone powder (CBP) was developed and used for breaded catfish sticks which were evaluated for sensory liking, emotional profile, and purchase intent. Previous consumers of …
Ranked Document Retrieval In External Memory, Rahul Shah, Cheng Sheng, Sharma Thankachan, Jeffrey Vitter
Ranked Document Retrieval In External Memory, Rahul Shah, Cheng Sheng, Sharma Thankachan, Jeffrey Vitter
Faculty Publications
The ranked (or top-k) document retrieval problem is defined as follows: preprocess a collection {T1,T2,... ,Td} of d strings (called documents) of total length n into a data structure, such that for any given query (P,k), where P is a string (called pattern) of length p ≥ 1 and k ϵ [1,d] is an integer, the identifiers of those k documents that are most relevant to P can be reported, ideally in the sorted order of their relevance. The seminal work by Hon et al. [FOCS 2009 and Journal of the ACM 2014] presented an O(n)-space (in words) data structure …