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Articles 61 - 71 of 71
Full-Text Articles in Physical Sciences and Mathematics
Waste Management By Waste: Removal Of Acid Dyes From Wastewaters Of Textile Coloration Using Fish Scales, S M Fijul Kabir
Waste Management By Waste: Removal Of Acid Dyes From Wastewaters Of Textile Coloration Using Fish Scales, S M Fijul Kabir
LSU Master's Theses
Removal of hazardous acid dyes by economical process using low-cost bio-sorbents from wool industry wastewaters is of a pressing need, since it causes skin and respiratory diseases and disrupts other environmental components. Fish scales (FS), a by-product of fish industry, a type of solid waste, are usually discarded carelessly resulting in pungent odor and environmental burden. In this research, the FS of black drum (Pogonias cromis) were used for the removal of acid dyes (acid red 1 (AR1), acid blue 45 (AB45) and acid yellow 127 (AY126)) from wool industry wastewaters by absorption process with a view to …
The Tensile Root Strength Of Emergent Coastal Macrophytes, Lauris Olivia Hollis
The Tensile Root Strength Of Emergent Coastal Macrophytes, Lauris Olivia Hollis
LSU Doctoral Dissertations
Spartina patens is a dominant emergent macrophyte in fresh, intermediate, and brackish marshes along the Atlantic and Gulf coasts of United States where its biomechanical properties are a key component of wetland health and resilience. Its root biomass and tensile root strength are essential for anchorage, erosion protection, and are important determinants of soil strength. Nutrients and the herbicide atrazine are suspected of negatively impacting this wetland plant and others. The objectives of this study were to: 1) ascertain the tensile root strength of five emergent coastal macrophytes in coastal estuaries, and 2) test the effects of nutrient addition, atrazine …
An Enhanced Bridge Weigh-In-Motion Methodology And A Bayesian Framework For Predicting Extreme Traffic Load Effects Of Bridges, Yang Yu
LSU Doctoral Dissertations
In the past few decades, the rapid growth of traffic volume and weight, and the aging of transportation infrastructures have raised serious concerns over transportation safety. Under these circumstances, vehicle overweight enforcement and bridge condition assessment through structural health monitoring (SHM) have become critical to the protection of the safety of the public and transportation infrastructures. The main objectives of this dissertation are to: (1) develop an enhanced bridge weigh-in-motion (BWIM) methodology that can be integrated into the SHM system for overweight enforcement and monitoring traffic loading; (2) present a Bayesian framework to predict the extreme traffic load effects (LEs) …
Hierarchical Fusion Based Deep Learning Framework For Lung Nodule Classification, Kazim Sekeroglu
Hierarchical Fusion Based Deep Learning Framework For Lung Nodule Classification, Kazim Sekeroglu
LSU Doctoral Dissertations
Lung cancer is the leading cancer type that causes the mortality in both men and women. Computer aided detection (CAD) and diagnosis systems can play a very important role for helping the physicians in cancer treatments. This dissertation proposes a CAD framework that utilizes a hierarchical fusion based deep learning model for detection of nodules from the stacks of 2D images. In the proposed hierarchical approach, a decision is made at each level individually employing the decisions from the previous level. Further, individual decisions are computed for several perspectives of a volume of interest (VOI). This study explores three different …
Information Theoretic Study Of Gaussian Graphical Models And Their Applications, Ali Moharrer
Information Theoretic Study Of Gaussian Graphical Models And Their Applications, Ali Moharrer
LSU Doctoral Dissertations
In many problems we are dealing with characterizing a behavior of a complex stochastic system or its response to a set of particular inputs. Such problems span over several topics such as machine learning, complex networks, e.g., social or communication networks; biology, etc. Probabilistic graphical models (PGMs) are powerful tools that offer a compact modeling of complex systems. They are designed to capture the random behavior, i.e., the joint distribution of the system to the best possible accuracy. Our goal is to study certain algebraic and topological properties of a special class of graphical models, known as Gaussian graphs. First, …
An Application Programming Interface For Parliamentary Procedure, Grant David Bourque
An Application Programming Interface For Parliamentary Procedure, Grant David Bourque
Honors Theses
No abstract provided.
Density Functional Theory Calculations On The Doping Sequence Of Mnxfen(1-X)Ge, Jordan C. Ball
Density Functional Theory Calculations On The Doping Sequence Of Mnxfen(1-X)Ge, Jordan C. Ball
Honors Theses
No abstract provided.
Distributed Augmented Reality Communications And Interactions, Mitchell Mason
Distributed Augmented Reality Communications And Interactions, Mitchell Mason
Honors Theses
No abstract provided.
Design And Development Of A Low-Cost Handheld Picoammeter, Malcolm Stagg
Design And Development Of A Low-Cost Handheld Picoammeter, Malcolm Stagg
Honors Theses
No abstract provided.
The Worst Case Discharge Scenario, Noah Mcgill
Mechanical Optimization Of Vertical Axis Wind Turbine Blades, Alexander Laurence Combe
Mechanical Optimization Of Vertical Axis Wind Turbine Blades, Alexander Laurence Combe
Honors Theses
No abstract provided.