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Articles 811 - 840 of 15219
Full-Text Articles in Entire DC Network
The Problem With Repurposing Genetically Modified Organisms, Robert Kesterson, Elizabeth Floyd
The Problem With Repurposing Genetically Modified Organisms, Robert Kesterson, Elizabeth Floyd
Division of Basic Science Faculty Publications
No abstract provided.
Initial Weight Loss And Early Intervention Adherence Predict Long-Term Weight Loss During The Promoting Successful Weight Loss In Primary Care In Louisiana Lifestyle Intervention, Christoph Höchsmann, Corby K. Martin, John W. Apolzan, James L. Dorling, Robert L. Newton, Kara D. Denstel, Emily F. Mire, William D. Johnson, Dachuan Zhang, Connie L. Arnold, Terry C. Davis, Vivian Fonseca, Tina K. Thethi, Carl J. Lavie, Benjamin Springgate, Peter T. Katzmarzyk
Initial Weight Loss And Early Intervention Adherence Predict Long-Term Weight Loss During The Promoting Successful Weight Loss In Primary Care In Louisiana Lifestyle Intervention, Christoph Höchsmann, Corby K. Martin, John W. Apolzan, James L. Dorling, Robert L. Newton, Kara D. Denstel, Emily F. Mire, William D. Johnson, Dachuan Zhang, Connie L. Arnold, Terry C. Davis, Vivian Fonseca, Tina K. Thethi, Carl J. Lavie, Benjamin Springgate, Peter T. Katzmarzyk
Clinical Research Faculty Publications
Objective: This study tested whether initial weight change (WC), self-weighing, and adherence to the expected WC trajectory predict longer-term WC in an underserved primary-care population with obesity. Methods: Data from the intervention group (n = 452; 88% women; 74% Black; BMI 37.3 kg/m2 [SD: 4.6]) of the Promoting Successful Weight Loss in Primary Care in Louisiana trial were analyzed. Initial (2-, 4-, and 8-week) percentage WC was calculated from baseline clinic weights and daily at-home weights. Weights were considered adherent if they were on the expected WC trajectory (10% at 6 months with lower [7.5%] and upper [12.5%] bounds). Linear …
The Type 1 Diabetes And Exercise Initiative: Predicting Hypoglycemia Risk During Exercise For Participants With Type 1 Diabetes Using Repeated Measures Random Forest, Simon Bergford, Michael C. Riddell, Peter G. Jacobs, Zoey Li, Robin L. Gal, Mark A. Clements, Francis J. Doyle, Corby K. Martin, Susana R. Patton, Jessica R. Castle, Melanie B. Gillingham, Roy W. Beck, Michael R. Rickels, Peter Calhoun
The Type 1 Diabetes And Exercise Initiative: Predicting Hypoglycemia Risk During Exercise For Participants With Type 1 Diabetes Using Repeated Measures Random Forest, Simon Bergford, Michael C. Riddell, Peter G. Jacobs, Zoey Li, Robin L. Gal, Mark A. Clements, Francis J. Doyle, Corby K. Martin, Susana R. Patton, Jessica R. Castle, Melanie B. Gillingham, Roy W. Beck, Michael R. Rickels, Peter Calhoun
Clinical Research Faculty Publications
Objective: Exercise is known to increase the risk for hypoglycemia in type 1 diabetes (T1D) but predicting when it may occur remains a major challenge. The objective of this study was to develop a hypoglycemia prediction model based on a large real-world study of exercise in T1D. Research Design and Methods: Structured study-specified exercise (aerobic, interval, and resistance training videos) and free-living exercise sessions from the T1D Exercise Initiative study were used to build a model for predicting hypoglycemia, a continuous glucose monitoring value < 70 mg/dL, during exercise. Repeated measures random forest (RMRF) and repeated measures logistic regression (RMLR) models were constructed to predict hypoglycemia using predictors at the start of exercise and baseline characteristics. Models were evaluated with area under the receiver operating characteristic curve (AUC) and balanced accuracy. Results: RMRF and RMLR had similar AUC (0.833 vs. 0.825, respectively) and both models had a balanced accuracy of 77%. The probability of hypoglycemia was higher for exercise sessions with lower pre-exercise glucose levels, negative pre-exercise glucose rates of change, greater percent time < 70 mg/dL in the 24 h before exercise, and greater pre-exercise bolus insulin-on-board (IOB). Free-living aerobic exercises, walking/hiking, and physical labor had the highest probability of hypoglycemia, while structured exercises had the lowest probability of hypoglycemia. Conclusions: RMRF and RMLR accurately predict hypoglycemia during exercise and identify factors that increase the risk of hypoglycemia. Lower glucose, decreasing levels of glucose before exercise, and greater pre-exercise IOB largely predict hypoglycemia risk in adults with T1D.
Sarcopenic Obesity: Emerging Mechanisms And Therapeutic Potential, Christopher L. Axelrod, Wagner S. Dantas, John P. Kirwan
Sarcopenic Obesity: Emerging Mechanisms And Therapeutic Potential, Christopher L. Axelrod, Wagner S. Dantas, John P. Kirwan
Division of Basic Science Faculty Publications
Sarcopenic obesity, or the loss of muscle mass and function associated with excess adiposity, is a largely untreatable medical condition associated with diminished quality of life and increased risk of mortality. To date, it remains somewhat paradoxical and mechanistically undefined as to why a subset of adults with obesity develop muscular decline, an anabolic stimulus generally associated with retention of lean mass. Here, we review evidence surrounding the definition, etiology, and treatment of sarcopenic obesity with an emphasis on emerging regulatory nodes with therapeutic potential. We review the available clinical evidence largely focused on diet, lifestyle, and behavioral interventions to …
Upper Ocean Biogeochemistry Of The Oligotrophic North Pacific Subtropical Gyre: From Nutrient Sources To Carbon Export, Minhan Dai, Ya Wei Luo, Eric P. Achterberg, Thomas J. Browning, Yihua Cai, Zhimian Cao, Fei Chai, Bingzhang Chen, Matthew J. Church, Dongjian Ci, Chuanjun Du, Kunshan Gao, Xianghui Guo, Zhendong Hu, Shuh Ji Kao, Edward A. Laws, Zhongping Lee, Hongyang Lin, Qian Liu, Xin Liu, Weicheng Luo, Feifei Meng, Shaoling Shang, Dalin Shi, Hiroaki Saito, Luping Song, Xianhui Sean Wan, Yuntao Wang, Wei Lei Wang, Zuozhu Wen, Peng Xiu, Jing Zhang, Ruifeng Zhang
Upper Ocean Biogeochemistry Of The Oligotrophic North Pacific Subtropical Gyre: From Nutrient Sources To Carbon Export, Minhan Dai, Ya Wei Luo, Eric P. Achterberg, Thomas J. Browning, Yihua Cai, Zhimian Cao, Fei Chai, Bingzhang Chen, Matthew J. Church, Dongjian Ci, Chuanjun Du, Kunshan Gao, Xianghui Guo, Zhendong Hu, Shuh Ji Kao, Edward A. Laws, Zhongping Lee, Hongyang Lin, Qian Liu, Xin Liu, Weicheng Luo, Feifei Meng, Shaoling Shang, Dalin Shi, Hiroaki Saito, Luping Song, Xianhui Sean Wan, Yuntao Wang, Wei Lei Wang, Zuozhu Wen, Peng Xiu, Jing Zhang, Ruifeng Zhang
Faculty Publications
Subtropical gyres cover 26%–29% of the world's surface ocean and are conventionally regarded as ocean deserts due to their permanent stratification, depleted surface nutrients, and low biological productivity. Despite tremendous advances over the past three decades, particularly through the Hawaii Ocean Time-series and the Bermuda Atlantic Time-series Study, which have revolutionized our understanding of the biogeochemistry in oligotrophic marine ecosystems, the gyres remain understudied. We review current understanding of upper ocean biogeochemistry in the North Pacific Subtropical Gyre, considering other subtropical gyres for comparison. We focus our synthesis on spatial variability, which shows larger than expected dynamic ranges of properties …
Leveraging Cultural Wealth, Identities And Motivation: How Diverse Intersectional Groups Of Low-Income Undergraduate Stem Students Persist In Collegiate Stem Environments, Raeshan D. Davis, Zakiya Wilson-Kennedy
Leveraging Cultural Wealth, Identities And Motivation: How Diverse Intersectional Groups Of Low-Income Undergraduate Stem Students Persist In Collegiate Stem Environments, Raeshan D. Davis, Zakiya Wilson-Kennedy
Faculty Publications
Grounded in a conceptual framework incorporating intersectionality, motivation, self-determination, and self-efficacy, this empirical study investigated how individuals’ identities, mindsets, and resources in educational environments intentionally cultivated to support their decision-making, development, and connections in the science community, can significantly increase the recruitment, persistence, and success of low-income, academically talented science students from diverse backgrounds. Several factors—academic performance in coursework, self-image, self-agency, financial support, and social integration in the science culture—continue to significantly impact student retention and persistence in STEM disciplines. Many of these factors are negatively affected based on a students’ intersecting identities, which can be detrimental to their academic …
Yolov4_Cspbi: Enhanced Land Target Detection Model, Lirong Yin, Lei Wang, Jianqiang Li, Siyu Lu, Jiawei Tian, Zhengtong Yin, Shan Liu, Wenfeng Zheng
Yolov4_Cspbi: Enhanced Land Target Detection Model, Lirong Yin, Lei Wang, Jianqiang Li, Siyu Lu, Jiawei Tian, Zhengtong Yin, Shan Liu, Wenfeng Zheng
Faculty Publications
The identification of small land targets in remote sensing imagery has emerged as a significant research objective. Despite significant advancements in object detection strategies based on deep learning for visible remote sensing images, the performance of detecting a small and densely distributed number of small targets remains suboptimal. To address this issue, this study introduces an improved model named YOLOV4_CPSBi, based on the YOLOV4 architecture, specifically designed to enhance the detection capability of small land targets in remote sensing imagery. The proposed model enhances the traditional CSPNet by redefining its channel partitioning and integrating this enhanced structure into the neck …
Cybercompetitions: A Survey Of Competitions, Tools, And Systems To Support Cybersecurity Education, Tyler Balon, Ibrahim (Abe) Baggili
Cybercompetitions: A Survey Of Competitions, Tools, And Systems To Support Cybersecurity Education, Tyler Balon, Ibrahim (Abe) Baggili
Faculty Publications
Over the last decade, industry and academia have worked towards raising students’ interests in cybersecurity through game-like competitions to fill a shortfall of cybersecurity professionals. Rising interest in video games in combination with gamification techniques make learning fun, easy, and addictive. It is crucial that cybersecurity curricula enhance and expose cybersecurity education to a diversified student body to meet workforce demands. Gamification through cybercompetitions is one method to achieve that. With a vast list of options for competition type, focus areas, learning outcomes, and participant experience levels we need to systematize knowledge of attributes that ameliorate cybercompetitions. In the wake …
Assessing The Threat Of Rosetta 2 On Apple Silicon Devices, Raphaela Mettig, Charles Glass, Andrew Case, Golden G. Richard
Assessing The Threat Of Rosetta 2 On Apple Silicon Devices, Raphaela Mettig, Charles Glass, Andrew Case, Golden G. Richard
Faculty Publications
In November 2020, Apple introduced a new architecture, Apple Silicon, that would power all new laptops and desktops. Based on ARM64 and with many custom features added by Apple, this marked a complete switch from the Intel-based systems that have powered Apple laptops and desktops for many years. With such a radical change, it was obvious that many existing digital forensics and incident response techniques would need to be re-evaluated on the platform. Similarly, several new additions to the operating system are interesting as potential abuse vectors for malware and malicious actors. In this paper, we document our effort to …
Design And Implementation Of An Instrument Package For Measuring Process Conditions In An Expeller, Md Masud Rana
Design And Implementation Of An Instrument Package For Measuring Process Conditions In An Expeller, Md Masud Rana
LSU Master's Theses
The expeller process variable has gained increasing attention in research to validate process flow models. The expeller process is a mechanical method used to extract oil and water from seeds, nuts and polymers. Various factors, such as the speed of the press, size, and shape of the expeller, temperature, pressure, and moisture content, impact the efficiency and quality of the oil and water extraction process. By understanding these variables, researchers can develop accurate process flow models to predict the efficiency and quality of the oil and water extraction process. In this research, A custom instrumentation package have designed and implemented …
The Fabrication Of Nearly Monodisperse Chiral And Achiral Plasmonic Nanostructures And Their Applications, Macayla J. Caso
The Fabrication Of Nearly Monodisperse Chiral And Achiral Plasmonic Nanostructures And Their Applications, Macayla J. Caso
LSU Doctoral Dissertations
An object is chiral when it holds no lines of symmetry. This quality naturally occurs in chemistry and biology. When an object is chiral it has a unique handedness and objects of opposite chirality are called enantiomers. The importance of handedness was brought to light in the 1960’s when a racemic mixture of thalidomide enantiomers was given to pregnant women. One enantiomer was able to treat morning sickness while the other caused severe birth defects. This case brought to light how enantiomers have unique properties from each other even though they are similar materials. With this knowledge chiral nanomaterials must …
The Impact Of Physical Exercise On Health-Related Quality Of Life In Inflammatory Bowel Disease, Ayokunle T. Abegunde, Daniela Goyes, Umer Farooq, Amy H. Luke, Elizabeth Huggins, Richard S. Cooper, Lara R. Dugas
The Impact Of Physical Exercise On Health-Related Quality Of Life In Inflammatory Bowel Disease, Ayokunle T. Abegunde, Daniela Goyes, Umer Farooq, Amy H. Luke, Elizabeth Huggins, Richard S. Cooper, Lara R. Dugas
Faculty Publications
Objectives: This is a protocol for a Cochrane Review (intervention). The objectives are as follows:. Primary objective: to determine the effect of structured physical activity and exercise therapy compared to placebo or normal physical activity on HRQOL of people with IBD (UC, CD, IBDU). Secondary objective: to evaluate the impact of these physical activity interventions on maintenance of remission and fatigue.
A Multi-Aerial Vehicle Platform For Testing Collaborative Mobility Formation Controllers, Matthew Snellgrove
A Multi-Aerial Vehicle Platform For Testing Collaborative Mobility Formation Controllers, Matthew Snellgrove
LSU Master's Theses
Multi-agent systems have potential applications in a multitude of fields due to their ability to perform complex tasks with a high degree of robustness. Decentralized systems are multi-agent systems where sensing, control, and communication responsibilities are distributed amongst the agents giving this scheme a particularly high potential for robustness, adaptability, and complexity; however, this comes with its own list of challenges. Formation control is a topic in multi-agent systems that aims to have the agents moving as a virtual rigid body through space. In the literature, there have been successful implementation of formation control algorithms on robot agents in both …
The Pathophysiology Of Equine Glandular Gastric Disease: Investigating The Role Of The Mucosal Microbiome And Bile Acid Reflux, Linda Paul
LSU Doctoral Dissertations
Equine glandular gastric disease (EGGD) is a common disease of athletic horses that can affect performance and welfare. Clinical signs are non-specific and diagnosis is made using gastroscopy after a prolonged fasting period. Effective prevention and treatment strategies for EGGD are lacking despite its widespread prevalence and negative effects. The goal of this research was to investigate the pathophysiology of EGGD. Objectives included: 1) compare the gastric glandular mucosal microbiome in horses with and without EGGD, 2) assess the influence of dietary and management factors on the gastric microbiome, and 3) evaluate the pyloric gastric fluid bile acid profile in …
Ph-Dependent Solution Micellar Structure Of Amphoteric Polypeptoid Block Copolymers With Positionally Controlled Ionizable Sites, Meng Zhang, Yun Liu, Xiaobing Zuo, Shuo Qian, Sai Venkatesh Pingali, Richard E. Gillilan, Qingqiu Huang, Donghui Zhang
Ph-Dependent Solution Micellar Structure Of Amphoteric Polypeptoid Block Copolymers With Positionally Controlled Ionizable Sites, Meng Zhang, Yun Liu, Xiaobing Zuo, Shuo Qian, Sai Venkatesh Pingali, Richard E. Gillilan, Qingqiu Huang, Donghui Zhang
Faculty Publications
While solution micellization of ionic block copolymers (BCP) with randomly distributed ionization sites along the hydrophilic segments has been extensively studied, the roles of positionally controlled ionization sites along the BCP chains in their micellization and resulting micellar structure remain comparatively less understood. Herein, three amphoteric polypeptoid block copolymers carrying two oppositely charged ionizable sites, with one fixed at the hydrophobic terminus and the other varyingly positioned along the hydrophilic segment, have been synthesized by sequential ring-opening polymerization method. The presence of the ionizable site at the hydrophobic segment terminus is expected to promote polymer association toward equilibrium micellar structures …
Autonomous Shipwreck Detection & Mapping, William Ard
Autonomous Shipwreck Detection & Mapping, William Ard
LSU Master's Theses
This thesis presents the development and testing of Bruce, a low-cost hybrid Remote Operated Vehicle (ROV) / Autonomous Underwater Vehicle (AUV) system for the optical survey of marine archaeological sites, as well as a novel sonar image augmentation strategy for semantic segmentation of shipwrecks. This approach takes side-scan sonar and bathymetry data collected using an EdgeTech 2205 AUV sensor integrated with an Harris Iver3, and generates augmented image data to be used for the semantic segmentation of shipwrecks. It is shown that, due to the feature enhancement capabilities of the proposed shipwreck detection strategy, correctly identified areas have a 15% …
Computational Investigations Of The Water Structure At The Α-Al2o3(0001)-Water Interface, Xiaoliu Zhang, Christopher G. Arges, Revati Kumar
Computational Investigations Of The Water Structure At The Α-Al2o3(0001)-Water Interface, Xiaoliu Zhang, Christopher G. Arges, Revati Kumar
Faculty Publications
The α-Al2O3(0001)-water interface is investigated using ab initio molecular dynamics (AIMD) simulations. The spectral signatures of the vibrational sum frequency generation (vSFG) spectra of OH stretching mode for water molecules at the interface are related to the interfacial water orientation, hydrogen bond network, and water dissociation process at different water/alumina interfaces. Significant differences are found between alumina surfaces at different hydroxylation levels, namely, Al-terminated and O-terminated α-Al2O3(0001). By calculating the vibrational sum frequency generation spectrum and its imaginary component from AIMD results, the structure of interfacial waters as well as the termination of alumina slab are related to the spectral …
Longitudinal Assessment Of Cognitive Function In The Appswe/Ps1de9 Mouse Model Of Alzheimer's-Related Beta-Amyloidosis, Paul L. Soto, Michael E. Young, Giuliana M. Dimarco, Brianna George, Tatiana Melnikova, Alena V. Savonenko, Breanna N. Harris
Longitudinal Assessment Of Cognitive Function In The Appswe/Ps1de9 Mouse Model Of Alzheimer's-Related Beta-Amyloidosis, Paul L. Soto, Michael E. Young, Giuliana M. Dimarco, Brianna George, Tatiana Melnikova, Alena V. Savonenko, Breanna N. Harris
Faculty Publications
Preclinical models of Alzheimer's disease (AD)-related cognitive decline can be useful for developing therapeutics. The current study longitudinally assessed short-term memory, using a delayed matching-to-position (DMTP) task, and attention, using a 3-choice serial reaction time (3CSRT) task, from approximately 18 weeks of age through death or 72 weeks of age in APPswe/PS1dE9 mice, a widely used mouse model of AD-related amyloidosis. Both transgenic (Tg) and non-Tg mice exhibited improvements in DMTP accuracy over time. Breaks in testing reduced DMTP accuracy but accuracy values quickly recovered in both Tg and non-Tg mice. Both Tg and non-Tg mice exhibited high accuracy in …
Pharmacological Inhibition Of Lipolysis Prevents Adverse Metabolic Outcomes During Glucocorticoid Administration, Melissa A. Linden, Susan J. Burke, Humza A. Pirzadah, Tai Yu Huang, Heidi M. Batdorf, Walid K. Mohammed, Katarina A. Jones, Sujoy Ghosh, Shawn R. Campagna, J. Jason Collier, Robert C. Noland
Pharmacological Inhibition Of Lipolysis Prevents Adverse Metabolic Outcomes During Glucocorticoid Administration, Melissa A. Linden, Susan J. Burke, Humza A. Pirzadah, Tai Yu Huang, Heidi M. Batdorf, Walid K. Mohammed, Katarina A. Jones, Sujoy Ghosh, Shawn R. Campagna, J. Jason Collier, Robert C. Noland
Division of Basic Science Faculty Publications
Objective: Glucocorticoids are one of the most commonly prescribed classes of anti-inflammatory drugs; however, chronic treatment promotes iatrogenic (drug-induced) diabetes. As part of their physiological role, glucocorticoids stimulate lipolysis to spare glucose. We hypothesized that persistent stimulation of lipolysis during glucocorticoid therapy plays a causative role in the development of iatrogenic diabetes. Methods: Male C57BL/6J mice were given 100 μg/mL corticosterone (Cort) in the drinking water for two weeks and were fed either normal chow (TekLad 8640) or the same diet supplemented with an adipose triglyceride lipase inhibitor (Atglistatin - 2 g/kg diet) to inhibit the first step of lipolysis. …
Residual-Based Error Correction For Neural Operator Accelerated Infinite-Dimensional Bayesian Inverse Problems, Lianghao Cao, Thomas O'Leary-Roseberry, Prashant K. Jha, J. Tinsley Oden, Omar Ghattas
Residual-Based Error Correction For Neural Operator Accelerated Infinite-Dimensional Bayesian Inverse Problems, Lianghao Cao, Thomas O'Leary-Roseberry, Prashant K. Jha, J. Tinsley Oden, Omar Ghattas
Faculty Publications
We explore using neural operators, or neural network representations of nonlinear maps between function spaces, to accelerate infinite-dimensional Bayesian inverse problems (BIPs) with models governed by nonlinear parametric partial differential equations (PDEs). Neural operators have gained significant attention in recent years for their ability to approximate the parameter-to-solution maps defined by PDEs using as training data solutions of PDEs at a limited number of parameter samples. The computational cost of BIPs can be drastically reduced if the large number of PDE solves required for posterior characterization are replaced with evaluations of trained neural operators. However, reducing error in the resulting …
Dna Methylation Near Cpt1a And Changes In Triglyceride-Rich Lipoproteins In Response To Weight-Loss Diet Interventions, Xiang Li, Xiaojian Shao, Qiaochu Xue, Minghao Kou, Catherine M. Champagne, Boryana S. Koseva, Yoriko Heianza, Elin Grundberg, Lydia A. Bazzano, George A. Bray, Frank M. Sacks, Lu Qi
Dna Methylation Near Cpt1a And Changes In Triglyceride-Rich Lipoproteins In Response To Weight-Loss Diet Interventions, Xiang Li, Xiaojian Shao, Qiaochu Xue, Minghao Kou, Catherine M. Champagne, Boryana S. Koseva, Yoriko Heianza, Elin Grundberg, Lydia A. Bazzano, George A. Bray, Frank M. Sacks, Lu Qi
Population and Public Health Science Faculty Publications
Context: Carnitine palmitoyltransferase-1A, encoded by the CPT1A gene, plays a key role in the oxidation of long-chain fatty acids in the mitochondria and may be important in triglyceride metabolism. Previous work has shown that high fat intake was negatively associated with CPT1A methylation and positively associated with CPT1A expression. Objective: We aim to investigate the association of DNA methylation (DNAm) at the CPT1A gene with reductions in triglycerides and triglyceride-rich lipoproteins (TRLs) in response to weight-loss diet interventions. Methods: The current study included 538 White participants, who were randomly assigned to 1 of 4 diets varying in macronutrient components. We …
A High-Quality De Novo Genome Assembly For Clapper Rail (Rallus Crepitans), Elisa C. Elizondo, Brant C. Faircloth, Robb T. Brumfield, Subir B. Shakya, Vincenzo A. Ellis, Carl J. Schmidt, Adrienne I. Kovach, W. Gregory Shriver
A High-Quality De Novo Genome Assembly For Clapper Rail (Rallus Crepitans), Elisa C. Elizondo, Brant C. Faircloth, Robb T. Brumfield, Subir B. Shakya, Vincenzo A. Ellis, Carl J. Schmidt, Adrienne I. Kovach, W. Gregory Shriver
Faculty Publications
The clapper rail (Rallus crepitans), of the family Rallidae, is a secretive marsh bird species that is adapted for high salinity habitats. They are very similar in appearance to the closely related king rail (R. elegans), but while king rails are limited primarily to freshwater marshes, clapper rails are highly adapted to tolerate salt marshes. Both species can be found in brackish marshes where they freely hybridize, but the distribution of their respective habitats precludes the formation of a continuous hybrid zone and secondary contact can occur repeatedly. This system, thus, provides unique opportunities to investigate the underlying mechanisms driving …
Impact Of Reactive Oxygen Species Scavenging On The Intermediate Production Of Anthracene And Anthraquinone In Fresh Versus Saltwater Environments, Scott J. St. Romain, Laura M. Basirico, Yong Ha Kim, Emily Vebrosky Nolan, Wei Xu, Kevin L. Armbrust
Impact Of Reactive Oxygen Species Scavenging On The Intermediate Production Of Anthracene And Anthraquinone In Fresh Versus Saltwater Environments, Scott J. St. Romain, Laura M. Basirico, Yong Ha Kim, Emily Vebrosky Nolan, Wei Xu, Kevin L. Armbrust
Faculty Publications
While salinity can alter the photodegradation of hydrophobic organic compounds (HOCs), the cause of their altered kinetics in seawater is not well understood. Because HOC intermediate photoproducts are often more toxic than their parent compounds, characterizing the generation of intermediates in saline environments is needed to accurately predict their health effects. The present study investigated the influence of salinity on the generation of anthraquinone through the photolysis of anthracene and the generation of anthrone and 1-hydroxyanthraquinone from the photolysis of anthraquinone as well as their reactivities with hydroxyl radicals. This was conducted by measuring the photolysis rates of anthracene and …
In-Situ Transmission Electron Microscopy Investigation On Surface Oxides Thermal Stability Of Niobium, Jin Su Oh, Xiaotian Fang, Tae Hoon Kim, Matt Lynn, Matt Kramer, Mehdi Zarea, James A. Sauls, Alexander Romanenko, Sam Posen, Anna Grassellino, Cameron J. Kopas, Mark Field, Jayss Marshall, Hilal Cansizoglu, Kameshwar Yadavalli, Joshua Y. Mutus, Matthew Reagor, Lin Zhou
In-Situ Transmission Electron Microscopy Investigation On Surface Oxides Thermal Stability Of Niobium, Jin Su Oh, Xiaotian Fang, Tae Hoon Kim, Matt Lynn, Matt Kramer, Mehdi Zarea, James A. Sauls, Alexander Romanenko, Sam Posen, Anna Grassellino, Cameron J. Kopas, Mark Field, Jayss Marshall, Hilal Cansizoglu, Kameshwar Yadavalli, Joshua Y. Mutus, Matthew Reagor, Lin Zhou
Faculty Publications
Niobium is commonly used for superconducting quantum systems as readout resonators, capacitors, and interconnects. Structural defects at the Nb/Si and air/Nb interface may be a major source of two-level systems (TLS), which are detrimental to the device's coherence time. Thus, identifying and understanding the microscopic origin of possible TLS in Nb-based devices and their relationship to processing is key to superconducting qubit performance improvement. This work studied the structure and thermal stability of surface oxide on physical vapor deposited Nb films on Si wafers, using aberration-corrected (scanning) transmission electron microscopy and spectroscopy. All Nb films exhibit columnar growth with strong …
The Master Growth Regulator Della Binding To Histone H2a Is Essential For Della-Mediated Global Transcription Regulation, Xu Huang, Hao Tian, Jeongmoo Park, Dong Ha Oh, Jianhong Hu, Rodolfo Zentella, Hong Qiao, Maheshi Dassanayake, Tai Ping Sun
The Master Growth Regulator Della Binding To Histone H2a Is Essential For Della-Mediated Global Transcription Regulation, Xu Huang, Hao Tian, Jeongmoo Park, Dong Ha Oh, Jianhong Hu, Rodolfo Zentella, Hong Qiao, Maheshi Dassanayake, Tai Ping Sun
Faculty Publications
The DELLA genes, also known as ‘Green Revolution’ genes, encode conserved master growth regulators that control plant development in response to internal and environmental cues. Functioning as nuclear-localized transcription regulators, DELLAs modulate expression of target genes via direct protein–protein interaction of their carboxy-terminal GRAS domain with hundreds of transcription factors (TFs) and epigenetic regulators. However, the molecular mechanism of DELLA-mediated transcription reprogramming remains unclear. Here by characterizing new missense alleles of an Arabidopsis DELLA, repressor of ga1-3 (RGA), and co-immunoprecipitation assays, we show that RGA binds histone H2A via the PFYRE subdomain within its GRAS domain to form a TF–RGA–H2A …
Ridge Propagation And The Stability Of Small Mid-Ocean Ridge Offsets, Hugh Harper, Karen Luttrell, David T. Sandwell
Ridge Propagation And The Stability Of Small Mid-Ocean Ridge Offsets, Hugh Harper, Karen Luttrell, David T. Sandwell
Faculty Publications
The mid-ocean ridge system comprises a series of spreading ridges, transform faults, propagating ridges, and other non-transform offsets. Transform faults remain stable for millions of years leaving long linear scars, or fracture zones, on older seafloor. Propagating ridges migrate in the ridge parallel direction leaving V-shaped or W-shaped scars on older seafloor. Vertical gravity gradient maps can now resolve the details of the ridge segmentation. For slow- and intermediate-spreading ridges, there appears to be an offset length threshold above which adjacent ridges do not propagate so remain as stable transform faults. We propose this threshold is due to the yield …
A Conceptual Investigation Of Transition To Self-Driven Turbidity Currents From Along-Shelf Current-Supported Turbidity Currents, Celalettin E. Ozdemir, Liangyi Yue, Haq Murad Nazari, George Xue, Samuel J. Bentley, Shuo Yang, Sayed O. Hofioni, Robert Forney, Saber Aradpour
A Conceptual Investigation Of Transition To Self-Driven Turbidity Currents From Along-Shelf Current-Supported Turbidity Currents, Celalettin E. Ozdemir, Liangyi Yue, Haq Murad Nazari, George Xue, Samuel J. Bentley, Shuo Yang, Sayed O. Hofioni, Robert Forney, Saber Aradpour
Faculty Publications
Wave- and current-supported turbidity currents (WCSTCs) are one of the sediment delivery mechanisms from the inner shelf to the shelf break. Therefore, they play a significant role in the global cycles of geo-chemically important particulate matter. Recent observations suggest that WCSTCs can transform into self-driven turbidity currents close to the continental margin. However, little is known regarding the critical conditions that grow self-driven turbidity currents out of WCSTCs. This is in part due to the knowledge gaps in the dynamics of WCSTCs regarding the role of density stratification. Especially the effect of sediment entrainment on the amount of sediment suspension …
New Standards Versus New World: An Examination Of Select South Louisiana Teachers’ Experiences With Next Generation Science Standards In A Virtual Context, Bridget Lemoine
LSU Doctoral Dissertations
The national K-12 science standards were reformed in April 2013. On March 8, 2017, the state of Louisiana’s Board of Elementary and Secondary Education approved the rewrite of the science standards to align with these national standards, and they were implemented in the middle school science classes. In March 2020, the COVID-19 pandemic began and thrust all students into the virtual learning world. The purpose of this study was twofold: to investigate certain changes made to the science standards in Louisiana and to examine how the pandemic interrupted NGSS implementation in the classroom both with teachers who were familiar with …
The Processing Of Task-Relevant And Task-Irrelevant Information In Working Memory, Stephanie M. Saltzmann
The Processing Of Task-Relevant And Task-Irrelevant Information In Working Memory, Stephanie M. Saltzmann
LSU Doctoral Dissertations
Researchers have aimed to better understand the capacity limits and boundaries of working memory (WM) for decades. With a growing body of literature, researchers have started to direct their focus to identifying and understanding specific processes of WM. Information enters WM and is processed differently based on bottom-up (i.e., feature-driven) and top-down (i.e., task-driven) processes. Specifically, the current dissertation aimed to better understand how task-relevant and irrelevant information is maintained, selection, and prioritized in WM. In Chapter 1, we explored how the maintenance of task-relevant information in WM impacts the maintenance of task-irrelevant information. During a hybrid search task, participants …
Connecting The Optical Regime To The X-Ray In Neutron Star Low Mass X-Ray Binaries, Alexander B. Igl
Connecting The Optical Regime To The X-Ray In Neutron Star Low Mass X-Ray Binaries, Alexander B. Igl
LSU Doctoral Dissertations
Using Rossi X-Ray Timing Explorer and Otto Struve Telescope data of low mass X-ray binaries (LMXBs) Cyg X-2 and Sco X-1, the optical regime’s relationship to the X-ray was investigated through several angles. Discrete cross correlations using the optical and X-ray data revealed evidence of reprocessing in both datasets. These were more consistently present in Sco X-1, where both small and obvious features were seen at less than 4 s of optical lag. The size of these lags makes it likely that most of the reprocessing is taking place on the accretion disk. Parameterization of the Z tracks led to …