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Articles 331 - 360 of 3417
Full-Text Articles in Physical Sciences and Mathematics
Methodology Utilizing Triphosgene To Promote Cyclization Of Epoxy Ketones To Pyranoside Derivatives Via Proposed Epoxonium Ions, Isaac Camargo Dos Reis
Methodology Utilizing Triphosgene To Promote Cyclization Of Epoxy Ketones To Pyranoside Derivatives Via Proposed Epoxonium Ions, Isaac Camargo Dos Reis
LSU Master's Theses
The development of new methodologies in organic chemistry is of great importance. In fact, the discovery and creation of new reactions frequently uncovers new chemical reactivities and creates new areas of chemistry. The purpose of this thesis is to present the development of new synthetic reactions that were discovered through previous findings. Additionally, the main theme of this work relies on the intermediacy of a cationic reactive intermediate: epoxonium ions. Chapter 1 provides a brief review of bicyclic epoxonium ions and methods for their generation, as well as their utility in the synthesis of interesting heterocycles. Furthermore, Chapter 1 illustrates …
Incorporating Life Into Living Shorelines: Can Gulf Ribbed Mussels Reduce Shoreline Erosion And Enhance Restoration Practices?, Jordan Logarbo
Incorporating Life Into Living Shorelines: Can Gulf Ribbed Mussels Reduce Shoreline Erosion And Enhance Restoration Practices?, Jordan Logarbo
LSU Master's Theses
The gulf ribbed mussel (Geukensia granosissima) exists throughout the Gulf of Mexico and influences biotic and abiotic environmental attributes as an ecosystem engineer. Ribbed mussels are an important component of marsh ecosystems providing services including filtering particulate matter, depositing and transforming nutrients in the system, increasing soil strength via byssal threads and providing structure via their shells.
The spatial distribution of mussels along the marsh edge of Sister Lake, LA was investigated via a broad survey of 150 sites, in relation to elevation, exposure and vegetation percent cover. This survey was followed by a second survey at a …
Hydrometeorological Responses To Abrupt Land Surface Change Following Hurricane Michael, Shannon Alexis Nelson
Hydrometeorological Responses To Abrupt Land Surface Change Following Hurricane Michael, Shannon Alexis Nelson
LSU Master's Theses
While many of the destructive environmental conditions associated with tropical cyclones are well recognized, tropical cyclone-induced defoliation, a reduction in green leaves and mature vegetation, has been largely overlooked as a source of environmental stress following tropical cyclone passage. The land surface change associated with defoliation reduces evapotranspiration and shade, thus altering boundary layer moisture and energy fluxes that drive the local water cycle, for many months after tropical cyclone passage. Understanding the potential for any hydrometeorological impacts arising from such abrupt land surface change is important for guiding future post-hurricane preparedness and recovery planning in coastal communities.
This thesis …
The Edwards Model For Fractional Brownian Loops And Starbursts, Wolfgang Bock, Torben Fattler, Ludwig Streit
The Edwards Model For Fractional Brownian Loops And Starbursts, Wolfgang Bock, Torben Fattler, Ludwig Streit
Journal of Stochastic Analysis
No abstract provided.
Machine Learning Methods For Depression Detection Using Smri And Rs-Fmri Images, Marzieh Sadat Mousavian
Machine Learning Methods For Depression Detection Using Smri And Rs-Fmri Images, Marzieh Sadat Mousavian
LSU Doctoral Dissertations
Major Depression Disorder (MDD) is a common disease throughout the world that negatively influences people’s lives. Early diagnosis of MDD is beneficial, so detecting practical biomarkers would aid clinicians in the diagnosis of MDD. Having an automated method to find biomarkers for MDD is helpful even though it is difficult. The main aim of this research is to generate a method for detecting discriminative features for MDD diagnosis based on Magnetic Resonance Imaging (MRI) data.
In this research, representational similarity analysis provides a framework to compare distributed patterns and obtain the similarity/dissimilarity of brain regions. Regions are obtained by either …
Quantifying Feature Overlaps In Deep Neural Networks And Their Applications In Unsupervised Learning And Generative Adversarial Networks, Edward Collier
Quantifying Feature Overlaps In Deep Neural Networks And Their Applications In Unsupervised Learning And Generative Adversarial Networks, Edward Collier
LSU Doctoral Dissertations
Deep neural network learn a wide range of features from the input data. These features take many different forms from, structural to textural, and can be very scale invariant. The complexity of these features also differs from layer to layer. Much like the human brain, this behavior in deep neural networks can also be used to cluster and separate classes. Applicability in deep neural networks is the quantitative measurement of the networks ability to differentiate between clusters in feature space. Applicability can measure the differentiation between clusters of sets of classes, single classes, or even within the same class. In …
Musical Gesture Through The Human Computer Interface: An Investigation Using Information Theory, Michael Vincent Blandino
Musical Gesture Through The Human Computer Interface: An Investigation Using Information Theory, Michael Vincent Blandino
LSU Doctoral Dissertations
This study applies information theory to investigate human ability to communicate using continuous control sensors with a particular focus on informing the design of digital musical instruments. There is an active practice of building and evaluating such instruments, for instance, in the New Interfaces for Musical Expression (NIME) conference community. The fidelity of the instruments can depend on the included sensors, and although much anecdotal evidence and craft experience informs the use of these sensors, relatively little is known about the ability of humans to control them accurately. This dissertation addresses this issue and related concerns, including continuous control performance …
Mosquito Distribution And Stoichiometric Analysis Between Open And Closed Canopies In New Orleans Cemeteries, Rachel Rogers
Mosquito Distribution And Stoichiometric Analysis Between Open And Closed Canopies In New Orleans Cemeteries, Rachel Rogers
LSU Master's Theses
Cemetery vases represent an important container habitat for mosquito larvae. Some species, like, Aedes albopictus and Aedes aegypti, prefer container habitats, whereas others, like Culex quinquefasciatus, will opportunistically use containers. In New Orleans, these three medically important vector species (Ae. albopictus Ae. aegypti, and Cx. quinquefasciatus) co-occur, despite a demonstrated competitive advantage of Ae. albopictus to the other two. Here we test the hypothesis that canopy cover from trees could be a mediating factor in driving mosquito assemblages in New Orleans, by influencing food sources, and the microclimate experienced by mosquito larvae. Samples from seven …
Modeled Changes In Source Contributions Of Particulate Matter During The Covid-19 Pandemic In The Yangtze River Delta, China, Jinlong Ma, Juanyong Shen, Peng Wang, Shengqiang Zhu, Yu Wang, Pengfei Wang, Gehui Wang, Jianmin Chen, Hongliang Zhang
Modeled Changes In Source Contributions Of Particulate Matter During The Covid-19 Pandemic In The Yangtze River Delta, China, Jinlong Ma, Juanyong Shen, Peng Wang, Shengqiang Zhu, Yu Wang, Pengfei Wang, Gehui Wang, Jianmin Chen, Hongliang Zhang
Faculty Publications
Within a short time after the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, Hubei, the Chinese government introduced a nationwide lockdown to prevent the spread of the pandemic. The quarantine measures have significantly decreased the anthropogenic activities, thus improving air quality. To study the impacts caused by the lockdown on specific source sectors and regions in the Yangtze River Delta (YRD), the Community Multiscale Air Quality (CMAQ) model was used to investigate the changes in source contributions to fine particulate matter (PM2.5) from 23 January to 28 February 2020, based on different emission control cases. Compared to case 1 …
Alòs Type Decomposition Formula For Barndorff-Nielsen And Shephard Model, Takuji Arai
Alòs Type Decomposition Formula For Barndorff-Nielsen And Shephard Model, Takuji Arai
Journal of Stochastic Analysis
No abstract provided.
Mixed Generalized Fractional Brownian Motion, Shaykhah Alajmi, Ezzedine Mliki
Mixed Generalized Fractional Brownian Motion, Shaykhah Alajmi, Ezzedine Mliki
Journal of Stochastic Analysis
No abstract provided.
Enhanced Atmospheric Oxidation Capacity And Associated Ozone Increases During Covid-19 Lockdown In The Yangtze River Delta, Yu Wang, Shengqiang Zhu, Jinlong Ma, Juanyong Shen, Pengfei Wang, Peng Wang, Hongliang Zhang
Enhanced Atmospheric Oxidation Capacity And Associated Ozone Increases During Covid-19 Lockdown In The Yangtze River Delta, Yu Wang, Shengqiang Zhu, Jinlong Ma, Juanyong Shen, Pengfei Wang, Peng Wang, Hongliang Zhang
Faculty Publications
Aggressive air pollution control in China since 2013 has achieved sharp decreases in fine particulate matter (PM2.5), along with increased ozone (O-3) concentrations. Due to the pandemic of coronavirus disease 2019 (COVID-19), China imposed nationwide restriction, leading to large reductions in economic activities and associated emissions. In particular, large decreases were found in nitrogen oxides (NOx) emissions (>50%) from transportation. However, O-3 increased in the Yangtze River Delta (YRD), which cannot be fully explained by changes in NOx and volatile organic compound (VOCs) emissions. In this study, the Community Multi-scale Air Quality model was used to investigate O-3 increase …
Study Of Parity Sheaves Arising From Graded Lie Algebras, Tamanna Chatterjee
Study Of Parity Sheaves Arising From Graded Lie Algebras, Tamanna Chatterjee
LSU Doctoral Dissertations
Let $G$ be a complex, connected, reductive, algebraic group, and $\chi:\mb{C}^\times \to G$ be a fixed cocharacter that defines a grading on $\mf{g}$, the Lie algebra of $G$. Let $G_0$ be the centralizer of $\chi(\mb{C}^\times)$. In this dissertation, we study $G_0$-equivariant parity sheaves on $\mf{g}_n$, under some assumptions on the field $\Bbbk$ and the group $G$. The assumption on $G$ holds for $GL_n$ and for any $G$, it recovers results of Lusztig\cite{Lu} in characteristic $0$. The main result is that every parity sheaf occurs as a direct summand of the parabolic induction of some cuspidal pair.
Modeling Hydraulic Fracturing Initiation And Propagation In Porous Rock Formationsl, Chang Huang
Modeling Hydraulic Fracturing Initiation And Propagation In Porous Rock Formationsl, Chang Huang
LSU Doctoral Dissertations
Hydraulic fracturing has long been introduced to the oil and gas industry since the early nineteenth century for both reservoir characterization and reservoir stimulation. Despite the progress made in the last two decades, many challenges still have not been tackled regarding not only the propagation problem but also the initiation problem due to its complexity. The dissertation is divided into two stages, i.e., before and after fracture initiation. The first stage of the research aimed at improving the accuracy in solving the poro-mechanical response of wellbore during fluid injection before a tensile fracture occurs, which is crucial to determine the …
An Investigation Of The Effects Of Variable Magnetic Field Gradients On Soot And Co Emissions From Non-Premixed Hydrocarbon Flames, Edison Ekperechukwu Chukwuemeka
An Investigation Of The Effects Of Variable Magnetic Field Gradients On Soot And Co Emissions From Non-Premixed Hydrocarbon Flames, Edison Ekperechukwu Chukwuemeka
LSU Doctoral Dissertations
The interaction of the paramagnetic species in a combustion process with the mag- netic field placed in the vicinity of non-premixed flames affects the characteristics of the non-premixed flames - flame height and flame lift-off height. However, the effect of this magnetic interaction on the pollutants generated by the flame is unknown.
In general, pollutant formation is promoted in most combustion systems due to in- complete combustion of the hydrocarbon due to improper mixing. Since paramagnetic combustion species such as O2, O, OH, etc interacts with magnetic fields and possess a preferential motion direction, imposing magnetic field on non-premixed flames …
Exact Solutions To Optimal Control Problems For Wiener Processes With Exponential Jumps, Mario Lefebvre
Exact Solutions To Optimal Control Problems For Wiener Processes With Exponential Jumps, Mario Lefebvre
Journal of Stochastic Analysis
No abstract provided.
The Fermi-Gbm Gamma-Ray Burst Spectral Catalog: 10 Yr Of Data, S. Poolakkil, R. Preece, C. Fletcher, A. Goldstein, P. N. Bhat, E. Bissaldi, M. S. Briggs, E. Burns, W. H. Cleveland, M. M. Giles, C. M. Hui, D. Kocevski, S. Lesage, B. Mailyan, C. Malacaria, W. S. Paciesas, O. J. Roberts, P. Veres, A. Von Kienlin, C. A. Wilson-Hodge
The Fermi-Gbm Gamma-Ray Burst Spectral Catalog: 10 Yr Of Data, S. Poolakkil, R. Preece, C. Fletcher, A. Goldstein, P. N. Bhat, E. Bissaldi, M. S. Briggs, E. Burns, W. H. Cleveland, M. M. Giles, C. M. Hui, D. Kocevski, S. Lesage, B. Mailyan, C. Malacaria, W. S. Paciesas, O. J. Roberts, P. Veres, A. Von Kienlin, C. A. Wilson-Hodge
Faculty Publications
We present the systematic spectral analyses of gamma-ray bursts (GRBs) detected by the Fermi Gamma-Ray Burst Monitor during its first ten years of operation. This catalog contains two types of spectra: time-integrated spectral fits and spectral fits at the brightest time bin, from 2297 GRBs, resulting in a compendium of over 18,000 spectra. The four different spectral models used for fitting the spectra were selected based on their empirical importance to the shape of many GRBs. We describe in detail our procedure and criteria for the analyses, and present the bulk results in the form of parameter distributions both in …
Machine Learning Approach To Pattern Recognition In Nuclear Dynamics From The Ab Initio Symmetry-Adapted No-Core Shell Model, Oleksandr Molchanov
Machine Learning Approach To Pattern Recognition In Nuclear Dynamics From The Ab Initio Symmetry-Adapted No-Core Shell Model, Oleksandr Molchanov
Honors Theses
No abstract provided.
Parasite Prevalence In Marsh Rice Rats (Oryzomys Palustris) On Sites Affected By The 2010 Deepwater Horizon Oil Spill, Layni Leblanc
Parasite Prevalence In Marsh Rice Rats (Oryzomys Palustris) On Sites Affected By The 2010 Deepwater Horizon Oil Spill, Layni Leblanc
Honors Theses
No abstract provided.
Bat Species Composition And Relative Activity Across A Rural-To-Urban Gradient In Baton Rouge, Louisiana, Emily Munch
Bat Species Composition And Relative Activity Across A Rural-To-Urban Gradient In Baton Rouge, Louisiana, Emily Munch
Honors Theses
No abstract provided.
Rutile As A Provenance Indicator For The Camerino Sandstone Of The Camerino Basin, Apennine Mountain Region, Italy, Wendy Bogil
Rutile As A Provenance Indicator For The Camerino Sandstone Of The Camerino Basin, Apennine Mountain Region, Italy, Wendy Bogil
Honors Theses
No abstract provided.
Static Analysis Of Haskell For Suitable Metrics For Grading, Christian Fontenot
Static Analysis Of Haskell For Suitable Metrics For Grading, Christian Fontenot
Honors Theses
No abstract provided.
R Coronae Borealis Star Evolution: Simulating 3d Merger Events To 1d Stellar Evolution Including Large-Scale Nucleosynthesis, Bradley Munson, Emmanouil Chatzopoulos, Juhan Frank, Geoffrey Clayton, Courtney Crawford, Pavel A. Denissenkov, Falk Herwig
R Coronae Borealis Star Evolution: Simulating 3d Merger Events To 1d Stellar Evolution Including Large-Scale Nucleosynthesis, Bradley Munson, Emmanouil Chatzopoulos, Juhan Frank, Geoffrey Clayton, Courtney Crawford, Pavel A. Denissenkov, Falk Herwig
Faculty Publications
R Coronae Borealis (RCB) stars are rare hydrogen-deficient carbon-rich variable supergiants thought to be the result of dynamically unstable white dwarf mergers. We attempt to model RCB stars through all the relevant timescales by simulating a merger event in Octo-tiger, a 3D adaptive mesh refinement (AMR) hydrodynamics code, and mapping the post-merger object into MESA, a 1D stellar evolution code. We then post-process the nucleosynthesis on a much larger nuclear reaction network to study the enhancement of s-process elements. We present models that match observations or previous studies in most surface abundances, isotopic ratios, early evolution, and lifetimes. We also …
Plant-Wide Control System Proposal Of Ethylene Cracking Plant Simulation, Estelle Seghers
Plant-Wide Control System Proposal Of Ethylene Cracking Plant Simulation, Estelle Seghers
Honors Theses
No abstract provided.
Dna Curve Classification With Unsupervised Learning, Ben Thomas
Dna Curve Classification With Unsupervised Learning, Ben Thomas
Honors Theses
No abstract provided.
Integration And Analysis Of Gaze Behavior In Augmented Reality, George Villaume
Integration And Analysis Of Gaze Behavior In Augmented Reality, George Villaume
Honors Theses
No abstract provided.
Restoration Agriculture In Louisiana: On The Prospects And Ethics Of Creating A Permanent, Dynamic Agricultural System Suited For Louisiana's Environment, Noah Willsea
Honors Theses
No abstract provided.
Reversing The Regioselectivity Of Indole Addition To Cyclic Unsymmetrical Oxyallyl Cations: Construction Of Diaryl Quaternary Centers, Thomas Davis Curry Ii
Reversing The Regioselectivity Of Indole Addition To Cyclic Unsymmetrical Oxyallyl Cations: Construction Of Diaryl Quaternary Centers, Thomas Davis Curry Ii
Honors Theses
No abstract provided.
Waves, Mixing, And Resuspension In An Urban Subtropical Lake: Restoration Implications, Noel Dudeck
Waves, Mixing, And Resuspension In An Urban Subtropical Lake: Restoration Implications, Noel Dudeck
Honors Theses
No abstract provided.
Decomposition Rates Of Spartina Alterniflora (Smooth Cordgrass) In Natural And Created Salt Marshes In Coastal Louisiana, Allison Benelli
Decomposition Rates Of Spartina Alterniflora (Smooth Cordgrass) In Natural And Created Salt Marshes In Coastal Louisiana, Allison Benelli
Honors Theses
No abstract provided.