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Articles 931 - 960 of 3417
Full-Text Articles in Physical Sciences and Mathematics
Effects Of Increased Sedimentation On Carbon Accumulation Of Salt Marsh Benthic Biofilms, Abbey Hotard
Effects Of Increased Sedimentation On Carbon Accumulation Of Salt Marsh Benthic Biofilms, Abbey Hotard
Honors Theses
No abstract provided.
Effects Of Timber Harvest On Avian Abundance And Diversity, Mckenzie Brandon
Effects Of Timber Harvest On Avian Abundance And Diversity, Mckenzie Brandon
Honors Theses
No abstract provided.
Influence Of Nutrient Availability And Sediment Supply On Productivity Of Spartina Patens, Shannon Matzke
Influence Of Nutrient Availability And Sediment Supply On Productivity Of Spartina Patens, Shannon Matzke
Honors Theses
No abstract provided.
Capturing Omni-Stereo Panoramas Within Unreal Engine 4, Evan Preslar
Capturing Omni-Stereo Panoramas Within Unreal Engine 4, Evan Preslar
Honors Theses
No abstract provided.
Nash Twist And Gaussian Noise Measure For Isometric C1 Maps, Amites Dasgupta, Mahuya Datta
Nash Twist And Gaussian Noise Measure For Isometric C1 Maps, Amites Dasgupta, Mahuya Datta
Communications on Stochastic Analysis
No abstract provided.
A Clark-Ocone Type Formula Under Change Of Measure For Multidimensional Lévy Processes, Ryoichi Suzuki
A Clark-Ocone Type Formula Under Change Of Measure For Multidimensional Lévy Processes, Ryoichi Suzuki
Communications on Stochastic Analysis
No abstract provided.
Optimal Approximation Of Skorohod Integrals – Examples With Substandard Rates, Peter Parczewski
Optimal Approximation Of Skorohod Integrals – Examples With Substandard Rates, Peter Parczewski
Communications on Stochastic Analysis
No abstract provided.
On Martingale Representation And Logarithmic-Sobolev Inequality For Fractional Brownian Bridge Measures, Xiaoxia Sun, Feng Guo
On Martingale Representation And Logarithmic-Sobolev Inequality For Fractional Brownian Bridge Measures, Xiaoxia Sun, Feng Guo
Communications on Stochastic Analysis
No abstract provided.
On Constructing Some Membranes For A Symmetric Α-Stable Process, M. M. Osypchuk, M.I. Portenko
On Constructing Some Membranes For A Symmetric Α-Stable Process, M. M. Osypchuk, M.I. Portenko
Communications on Stochastic Analysis
No abstract provided.
Existence And Stability For Stochastic Impulsive Neutral Partial Differential Equations Driven By Rosenblatt Process With Delay And Poisson Jumps, Mouhamed Ait Ouahra, Brahim Boufoussi, El Hassan Lakhel
Existence And Stability For Stochastic Impulsive Neutral Partial Differential Equations Driven By Rosenblatt Process With Delay And Poisson Jumps, Mouhamed Ait Ouahra, Brahim Boufoussi, El Hassan Lakhel
Communications on Stochastic Analysis
No abstract provided.
Anticipative Integrals With Respect To A Filtered Lévy Process And Lévy–Itô Decomposition, Nicolas Savy, Josep Vives
Anticipative Integrals With Respect To A Filtered Lévy Process And Lévy–Itô Decomposition, Nicolas Savy, Josep Vives
Communications on Stochastic Analysis
No abstract provided.
Occupation Time Problem Of Certain Self-Similar Processes Related To The Fractional Brownian Motion, Aissa Sghir, Mohamed A. Ouahra, Soufiane Moussaten
Occupation Time Problem Of Certain Self-Similar Processes Related To The Fractional Brownian Motion, Aissa Sghir, Mohamed A. Ouahra, Soufiane Moussaten
Communications on Stochastic Analysis
No abstract provided.
The Subcritical Phase For A Homopolymer Model, Iddo Ben-Ari, Hugo Panzo
The Subcritical Phase For A Homopolymer Model, Iddo Ben-Ari, Hugo Panzo
Communications on Stochastic Analysis
No abstract provided.
Homeomorphic Property Of The Stochastic Flow Of A Natural Equation In Multi-Dimensional Case, Fatima Benziadi, Abdeldjabbar Kandouci
Homeomorphic Property Of The Stochastic Flow Of A Natural Equation In Multi-Dimensional Case, Fatima Benziadi, Abdeldjabbar Kandouci
Communications on Stochastic Analysis
No abstract provided.
Near-Martingale Property Of Anticipating Stochastic Integration, C R. Hwang, Hui-Hsiung Kuo, Kimiaki Saitô, Jiayu Zhai
Near-Martingale Property Of Anticipating Stochastic Integration, C R. Hwang, Hui-Hsiung Kuo, Kimiaki Saitô, Jiayu Zhai
Communications on Stochastic Analysis
No abstract provided.
The Qq–Bit (Ii): Functional Central Limits And Monotone Representation Of The Azema Martingale, Luigi Accardi, Yun-Gang Lu
The Qq–Bit (Ii): Functional Central Limits And Monotone Representation Of The Azema Martingale, Luigi Accardi, Yun-Gang Lu
Communications on Stochastic Analysis
No abstract provided.
An Option Pricing Model With Memory, Flavia Sancier, Salah Mohammed
An Option Pricing Model With Memory, Flavia Sancier, Salah Mohammed
Communications on Stochastic Analysis
No abstract provided.
Extensions Of The Hitsuda–Skorokhod Integral, Peter Parczewski
Extensions Of The Hitsuda–Skorokhod Integral, Peter Parczewski
Communications on Stochastic Analysis
No abstract provided.
The Double Barrier Problem With Double Exponential Jump Diffusion, Julius Esunge, Kalev Pärna, Dean Teneng
The Double Barrier Problem With Double Exponential Jump Diffusion, Julius Esunge, Kalev Pärna, Dean Teneng
Communications on Stochastic Analysis
No abstract provided.
On Braids, Branched Covers And Transverse Invariants, Jose Hector Ceniceros
On Braids, Branched Covers And Transverse Invariants, Jose Hector Ceniceros
LSU Doctoral Dissertations
In this work, we present a brief survey of knot theory supported by contact 3-manifolds. We focus on transverse knots and explore different ways of studying transverse knots. We define a new family of transverse invariants, this is accomplished by considering $n$-fold cyclic branched covers branched along a transverse knot and we then extend the definition of the BRAID invariant $t$ defined in cite{BVV} to the lift of the transverse knot. We call the new invariant the lift of the BRAID invariant and denote it by $t_n$. We then go on to show that $t_n$ satisfies a comultiplication formula and …
Extraction Of Displacement Fields In Heterogeneous Media Using Optimal Local Basis Functions, Paul Derek Sinz
Extraction Of Displacement Fields In Heterogeneous Media Using Optimal Local Basis Functions, Paul Derek Sinz
LSU Doctoral Dissertations
The Multiscale Spectral Generalized Finite Element Method (MS-GFEM) was developed in recent work by Babuska and Lipton. The method uses optimal local shape functions, optimal in the sense of the Kolmogorov n-width, to approximate solutions to a second order linear elliptic partial differential equation with L-infinity coefficients. In this dissertation an implementation of MS-GFEM over a two subdomain partition of unity is outlined and several numerical experiments are presented. The method is applied to compute local fields inside high contrast particle suspensions. The method's performance is evaluated for various examples with different contrasts between reinforcement particles and matrix material. The …
Exact Numerical Study Of Disordered Systems, Conrad Wilson Moore
Exact Numerical Study Of Disordered Systems, Conrad Wilson Moore
LSU Doctoral Dissertations
This thesis presents work on the development of new techniques to study the problem of localization in various models of disordered systems with the goal of being able to extend these model calculations to real materials where these various mechanisms of disorder can all be present. I consider the Anderson Model with diagonal, off-diagonal disorder, multiple bands and superconductivity is included at the level of a Bogoliubov - De Gennes mean field (superconductivity is considered by adding the symmetries of the Bogoliubov - De Gennes Hamiltonian on top of the disordered lattice Hamiltonian). The localization of electrons is studied with …
Revisions To Rainfall Intensity Algorithms In Przm5.0 To Improve Estimates Of Off-Field Runoff, Eroded Sediment And Pesticide Mass, Tammara Levey Estes
Revisions To Rainfall Intensity Algorithms In Przm5.0 To Improve Estimates Of Off-Field Runoff, Eroded Sediment And Pesticide Mass, Tammara Levey Estes
LSU Doctoral Dissertations
The Environmental Protection Agency (EPA) model Pesticide Root Zone Model, version 5.0 (PRZM5.0) is used to estimate off-field loadings of pesticide concentrations in runoff and eroded sediment. Climate change has resulted in an increase in rainfall intensity patterns for much of the United States. This change impacts off-field runoff and eroded sediment as well as off-field pesticide loads from agricultural fields. Thus, the PRZM5.0 EPA “lookup” table for runoff curve numbers and the internal algorithm for eroded sediment estimation have become outdated since both temporal and geographical conditions have changed. This research presents (1) a revised method for estimating runoff …
Empirically Tuning Hpc Kernels With Ifko, Md Majedul Haque Sujon
Empirically Tuning Hpc Kernels With Ifko, Md Majedul Haque Sujon
LSU Doctoral Dissertations
iFKO (iterative Floating point Kernel Optimizer) is an open-source iterative empirical compilation framework which can be used to tune high performance computing (HPC) kernels. The goal of our research is to advance iterative empirical compilation to the degree that the performance it can achieve is comparable to that delivered by painstaking hand tuning in assembly. This will allow many HPC researchers to spend precious development time on higher level aspects of tuning such as parallelization, as well as enabling computational scientists to develop new algorithms that demand new high performance kernels. At present, algorithms that cannot use hand-tuned performance libraries …
Maintaining High Performance Across All Problem Sizes And Parallel Scales Using Microkernel-Based Linear Algebra, Md Rakib Hasan
Maintaining High Performance Across All Problem Sizes And Parallel Scales Using Microkernel-Based Linear Algebra, Md Rakib Hasan
LSU Doctoral Dissertations
Linear algebra underlies a large proportion of computational problems. With the continuous increase of scale on modern hardware, performance of small sized linear algebra has become increasingly important. To overcome the shortcomings of conventional approaches, we employ a new approach using a microkernel framework provided by ATLAS to improve the performance of a few linear algebra routines for all problem sizes. Our initial research consists of improving the performance of parallel LU factorization in ATLAS for which we were able to achieve up to 2.07x and 2.66x speedup for small problems, up to 91% and 87% of theoretical peak performance …
Improved Protein Characterizations Using Ionic Liquids: Page And Maldi-Ms, Punprabhashi Vidanapathirana
Improved Protein Characterizations Using Ionic Liquids: Page And Maldi-Ms, Punprabhashi Vidanapathirana
LSU Doctoral Dissertations
Protein separation by polyacrylamide gel electrophoresis (PAGE) and identification by matrix assisted laser desorption ionization-mass spectrometry (MALDI-MS) are primary tools of protein analysis. In these techniques, surfactants are used in protein sample preparation in order to enhance the protein solubility. Conventional surfactants have shown limitations in protein analysis due to the structural complexity of proteomes, resulting in low resolution. The research goal of this dissertation is to address some of these limitations by applying novel cationic ionic liquid surfactants (ILS), N-alkyl-4-methyl pyridinium bromide (CnPBr where n=4, 8, 11). The ILS would be suitable candidates to be used in PAGE protein …
Manifestations Of Symmetry In Polynomial Link Invariants, Kyle Istvan
Manifestations Of Symmetry In Polynomial Link Invariants, Kyle Istvan
LSU Doctoral Dissertations
The use and detection of symmetry is ubiquitous throughout modern mathematics. In the realm of low-dimensional topology, symmetry plays an increasingly significant role due to the fact that many of the modern invariants being developed are computationally expensive to calculate. If information is known about the symmetries of a link, this can be incorporated to greatly reduce the computation time. This manuscript will consider graphical techniques that are amenable to such methods. First, we discuss an obstruction to links being periodic, developed jointly with Dr. Khaled Qazaqzeh at Kuwait University, using a model developed by Caprau and Tipton. We will …
Sediment Transport And Channel Morphology Dynamics Of Highly Regulated Alluvial Rivers - A Case Study Of The Lowermost Mississippi River., Sanjeev Joshi
LSU Doctoral Dissertations
The Mississippi River delta is facing severe land loss. An urgent need exists to examine sediment transport and channel morphology dynamics along this highly engineered alluvial river that has shaped and will continue to shape its delta. This dissertation research focuses on investigating channel morphology dynamics and sediment transport in the recent three decades along a 327-km reach (from about 492 to 167 km upstream from the river’s outlet in the Gulf of Mexico) of the Lowermost Mississippi River (LmMR). The specific objectives of this research were to: 1) analyze riverbed adjustment, i.e., channel-bed aggradation or channel erosion at seven …
Reduced Order Models For Beam-Wave Interaction In High Power Microwave Sources, Lokendra Singh Thakur
Reduced Order Models For Beam-Wave Interaction In High Power Microwave Sources, Lokendra Singh Thakur
LSU Doctoral Dissertations
We apply an asymptotic analysis to show that corrugated waveguides can be represented as cylindrical waveguides with smooth metamaterial coatings when the corrugtions are subwavelength. Here the metamaterial delivers an effective anisotropic surface impedance, effective dielectric constant, and imparts novel dispersive effects on signals traveling inside the waveguide. These properties arise from the subwavelength resonances of the metamaterial. For sufficiently deep corrugations, the waveguide exhibits backward wave propagation, which can be understood in the present context as a multi-scale phenomenon resulting from local resonances inside the subwavelength geometry. Our approach is well suited to numerical computation and we provide a …
Human Gut Microbiota And Obesity: How Is Gut Microbiota Associated With Obesity Improvement Induced By Bariatric Surgeries Or Low-Calorie Diet Treatment?, Rui Zhang
LSU Doctoral Dissertations
An increasing number of studies suggest that the complex microbial community of the human gut may have an important role in human health and disease conditions such as obesity and diabetes. However, the causal relationship among gut microbiota, obesity, weight loss, and the influence of bariatric surgery remains largely unknown. This study investigated the correlation between human gut microbiota and obesity via determining how gut microbiota is associated with obesity improvement induced by bariatric surgeries (BRS) and low-calorie diet (LCD) treatment. Specifically, we investigated the effects of various bariatric surgery (BRS) procedures and a low-calorie diet (LCD) treatment on the …