Digital Commons Network^™

Identification Of An Ionic Mechanism For Erα-Mediated Rapid Excitation In Neurons, Meng Yu, Na Yin, Bing Feng, Peiyu Gao, Kaifan Yu, Hesong Liu, Hailan Liu, Yongxiang Li, Olivia Z. Ginnard, Kristine M. Conde, Mengjie Wang, Xing Fang, Longlong Tu, Jonathan C. Bean, Qingzhuo Liu, Yue Deng, Yuxue Yang, Junying Han, Sanika V. Jossy, Megan L. Burt, Huey Zhong Wong, Yongjie Yang, Benjamin R. Arenkiel, Yang He, Shaodong Guo, Pierre Gourdy, Jean Francois Arnal, Francoise Lenfant, Zhao Wang, Chunmei Wang, Yanlin He, Yong Xu

Division of Basic Science Faculty Publications

The major female ovarian hormone, 17β-estradiol (E2), can alter neuronal excitability within milliseconds to regulate a variety of physiological processes. Estrogen receptor-α (ERα), classically known as a nuclear receptor, exists as a membrane-bound receptor to mediate this rapid action of E2, but the ionic mechanisms remain unclear. Here, we show that a membrane channel protein, chloride intracellular channel protein-1 (Clic1), can physically interact with ERα with a preference to the membrane-bound ERα. Clic1-mediated currents can be enhanced by E2 and reduced by its depletion. In addition, Clic1 currents are required to mediate the E2-induced rapid excitations in multiple brain ERα …

The Genomes Of All Lungfish Inform On Genome Expansion And Tetrapod Evolution, Manfred Schartl, Joost M. Woltering, Iker Irisarri, Kang Du, Susanne Kneitz, Martin Pippel, Thomas Brown, Paolo Franchini, Jing Li, Ming Li, Mateus Adolfi, Sylke Winkler, Josane De Freitas Sousa, Zhuoxin Chen, Sandra Jacinto, Evgeny Z. Kvon, Luis Rogério Correa De Oliveira, Erika Monteiro, Danielson Baia Amaral, Thorsten Burmester, Domitille Chalopin, Alexander Suh, Eugene Myers, Oleg Simakov, Igor Schneider, Axel Meyer

Faculty Publications

The genomes of living lungfishes can inform on the molecular-developmental basis of the Devonian sarcopterygian fish–tetrapod transition. We de novo sequenced the genomes of the African (Protopterus annectens) and South American lungfishes (Lepidosiren paradoxa). The Lepidosiren genome (about 91 Gb, roughly 30 times the human genome) is the largest animal genome sequenced so far and more than twice the size of the Australian (Neoceratodus forsteri)¹ and African² lungfishes owing to enlarged intergenic regions and introns with high repeat content (about 90%). All lungfish genomes continue to expand as some transposable elements (TEs) are still active today. In particular, …

On The Pathogenesis Of Obesity: Causal Models And Missing Pieces Of The Puzzle, Faidon Magkos, Thorkild I.A. Sørensen, David Raubenheimer, Nikhil V. Dhurandhar, Ruth J.F. Loos, Anja Bosy-Westphal, Christoffer Clemmensen, Mads F. Hjorth, David B. Allison, Gary Taubes, Eric Ravussin, Mark I. Friedman, Kevin D. Hall, David S. Ludwig, John R. Speakman, Arne Astrup

Clinical Research Faculty Publications

Application of the physical laws of energy and mass conservation at the whole-body level is not necessarily informative about causal mechanisms of weight gain and the development of obesity. The energy balance model (EBM) and the carbohydrate–insulin model (CIM) are two plausible theories, among several others, attempting to explain why obesity develops within an overall common physiological framework of regulation of human energy metabolism. These models have been used to explain the pathogenesis of obesity in individuals as well as the dramatic increases in the prevalence of obesity worldwide over the past half century. Here, we summarize outcomes of a …

Deciphering The Genetic Basis Of Salinity Tolerance In A Diverse Panel Of Cultivated And Wild Soybean Accessions By Genome-Wide Association Mapping, Rajat Pruthi, Chanderkant Chaudhary, Sandeep Chapagain, Mostafa Mohamed Elbasuoni Abozaid, Prabhat Rana, Ravi Kiran Reddy Kondi, Roberto Fritsche-Neto, Prasanta K. Subudhi

Faculty Publications

Key message : In a genome-wide association study involving 269 cultivated and wild soybean accessions, potential salt tolerance donors were identified along with significant markers and candidate genes, such as GmKUP6 and GmWRKY33. Abstract : Salt stress remains a significant challenge in agricultural systems, notably impacting soybean productivity worldwide. A comprehensive genome-wide association study (GWAS) was conducted to elucidate the genetic underpinnings of salt tolerance and identify novel source of salt tolerance among soybean genotypes. A diverse panel comprising 269 wild and cultivated soybean accessions was subjected to saline stress under controlled greenhouse conditions. Phenotypic data revealed that salt tolerance …

Prescribed Fire Regimes Influence Responses Of Fungal And Bacterial Communities On New Litter Substrates In A Brackish Tidal Marsh, Viet Q. Dao, Crystal N. Johnson, William J. Platt

Faculty Publications

Processes modifying newly deposited litter substrates should affect fine fuels in fire-managed tidal marsh ecosystems. Differences in chemical composition and dynamics of litter should arise from fire histories that generate pyrodiverse plant communities, tropical cyclones that deposit wrack as litter, tidal inundation that introduces and alters sediments and microbes, and interactions among these different processes. The resulting diversity and dynamics of available litter compounds should affect microbial (fungal and bacterial) communities and their roles in litter substrate dynamics and ecosystem responses over time. We experimentally examined effects of differences in litter types produced by different fire regimes and litter loads …

Louisiana Agriculture Magazine, Fall 2024

Louisiana Agriculture

Questions drive the science behind the LSU AgCenter. Researcher Erin Oberhaus wanted to find data to help educate Louisiana horse owners about the use of an important medication, and a water quality specialist wondered if noneconomic bodies of water, which include agricultural ponds, might help people generate electricity. The research projects that grew from their questions are detailed in this issue of Louisiana Agriculture.

Also in this issue, scientists share the results from important soybean studies, and the AgCenter farm to school team shares success stories from school gardens across the state.

Research is at the core of the LSU …

Spatiotemporal Climatology Of Georgia Tropical Cyclones And Associated Rainfall, Reilly Corkran, Jill Trepanier, Vincent Brown

Faculty Publications

Tropical cyclones (TCs), often characterized by high wind speeds and heavy rainfall, cause widespread devastation, affecting millions of people and leading to economic losses worldwide. TC-specific research in Georgia is scarce, likely due to the minimal geographical extent of its coast and the infrequency of direct landfalls. Research on Georgia TCs does not account for storms that make landfall in other southeastern states (e.g., Florida) and continue north, northeast, or northwest into Georgia. This study used the North Atlantic Basin hurricane database (HURDAT2) to quantify the spatiotemporal patterns of direct and indirect landfalling of Georgia tropical cyclones (>16 ms−1) …

Scene Classification Of Remote Sensing Image Based On Multi-Path Reconfigurable Neural Network, Wenyi Hu, Chunjie Lan, Tian Chen, Shan Liu, Lirong Yin, Lei Wang

Faculty Publications

Land image recognition and classification and land environment detection are important research fields in remote sensing applications. Because of the diversity and complexity of different tasks of land environment recognition and classification, it is difficult for researchers to use a single model to achieve the best performance in scene classification of multiple remote sensing land images. Therefore, to determine which model is the best for the current recognition classification tasks, it is often necessary to select and experiment with many different models. However, finding the optimal model is accompanied by an increase in trial-and-error costs and is a waste of …

Machine Learning For Automated Classification Of Lung Collagen In A Urethane-Induced Lung Injury Mouse Model, Khalid Hamad Alnafisah, Amit Ranjan, Sushant P. Sahu, Jianhua Chen, Sarah Mohammad Alhejji, Alexandra Noël, Manas Ranjan Gartia, Supratik Mukhopadhyay

Faculty Publications

Dysregulation of lung tissue collagen level plays a vital role in understanding how lung diseases progress. However, traditional scoring methods rely on manual histopathological examination introducing subjectivity and inconsistency into the assessment process. These methods are further hampered by inter-observer variability, lack of quantification, and their time-consuming nature. To mitigate these drawbacks, we propose a machine learning-driven framework for automated scoring of lung collagen content. Our study begins with the collection of a lung slide image dataset from adult female mice using second harmonic generation (SHG) microscopy. In our proposed approach, first, we manually extracted features based on the 46 …

Errata: The Product Of Distributions And Stochastic Differential Equations Arising From Powers Of Infinite Dimensional Brownian Motions, Un Cig Ji, Hui-Hsiung Kuo, Hara-Yuko Mimachi, Kimiaki Saito

Journal of Stochastic Analysis

No abstract provided.

Formation And Microwave Losses Of Hydrides In Superconducting Niobium Thin Films Resulting From Fluoride Chemical Processing, Carlos G. Torres-Castanedo, Dominic P. Goronzy, Thang Pham, Anthony Mcfadden, Nicholas Materise, Paul Masih Das, Matthew Cheng, Dmitry Lebedev, Stephanie M. Ribet, Mitchell J. Walker, David A. Garcia-Wetten, Cameron J. Kopas, Jayss Marshall, Ella Lachman, Nikolay Zhelev, James A. Sauls, Joshua Y. Mutus, Corey Rae H. Mcrae, Vinayak P. Dravid, Michael J. Bedzyk, Mark C. Hersam

Faculty Publications

Superconducting niobium (Nb) thin films have recently attracted significant attention due to their utility for quantum information technologies. In the processing of Nb thin films, fluoride-based chemical etchants are commonly used to remove surface oxides that are known to affect superconducting quantum devices adversely. However, these same etchants can also introduce hydrogen to form Nb hydrides, potentially negatively impacting microwave loss performance. Here, comprehensive materials characterization of Nb hydrides formed in Nb thin films as a function of fluoride chemical treatments is presented. In particular, secondary-ion mass spectrometry, X-ray scattering, and transmission electron microscopy reveal the spatial distribution and phase …

Too Sensitive Or Not Sensitive Enough? Sensitivity To Context And Justice-Involved Youths' Response To Violence Exposure, Colleen Sbeglia, Curtis Donovyn Smith, Paul J. Frick, Laurence Steinberg, Elizabeth Cauffman

Faculty Publications

With high rates of violence exposure among justice-involved youth, it is critical to identify factors that might impact the likelihood of youth engaging in violence themselves. One such factor is sensitivity to context, which describes how sensitive youth are to experiences in their environment. Using an ethnically diverse sample of justice-involved male adolescents (47% Latino, 38% Black/African American, 15% White) aged 13-17 at the time of their first arrest, the results of this study indicate that exposure to violence was related to increased violent behavior six months later, and this effect was strongest among youth who were low in sensitivity …

Generamen Enables Integration, Comparison, And Meta-Analysis Of Multiple Ranked Gene Lists To Identify Consensus, Unique, And Correlated Genes, Meisam Yousefi, Wayne Ren See, Kam Leng Aw-Yong, Wai Suet Lee, Cythia Lingli Yong, Felic Fanusi, Gavin J.D. Smith, Eng Eong Ooi, Shang Li, Sujoy Ghosh, Yaw Shin Ooi

Division of Basic Science Faculty Publications

High-Throughput experiments often produce ranked gene outputs, with forward genetic screening being a notable example. While there are various tools for analyzing individual datasets, those that perform comparative and meta-Analytical examination of such ranked gene lists remain scarce. Here, we introduce Gene Rank Meta Analyzer (GeneRaMeN), an R Shiny tool utilizing rank statistics to facilitate the identification of consensus, unique, and correlated genes across multiple hit lists. We focused on two key topics to showcase GeneRaMeN: virus host factors and cancer dependencies. Using GeneRaMeN 'Rank Aggregation', we integrated 24 published and new flavivirus genetic screening datasets, including dengue, Japanese encephalitis, …

Determining Diabetic Kidney Disease Severity Using Traditional Chinese Medicine Syndrome Classification, Amanda Yun Rui Lam, Huang Fang Zheng, Kok Keong Teo, Xiao Hui Xin, Chieh Suai Tan, Jean Paul Kovalik, Sujoy Ghosh, Hong Chang Tan

Division of Basic Science Faculty Publications

No abstract provided.

Autonomic And Enteric Profiling May Help Predict Response To Diverse Obesity Therapies, Michael Eiswerth, Prateek Mathur, Hani Rashed, Frank Greenway, Eric Ravussin, William Johnson, Pichamol Jirapinyo, Christopher C. Thompson, Farid Kehdy, Shabnam Sarker, Le Yu Naing, Michael W. Daniels, Thomas Abell

Clinical Research Faculty Publications

Purpose: Changes in autonomic (ANS) and enteric nervous systems (ENS) may be involved in pathogenesis of obesity. We hypothesized that baseline autonomic and enteric parameters may predict outcomes of diverse obesity therapies. Material and Methods: We studied ANS and ENS physiology in 37 patients (8 male, 29 female, age 45 years, weight 129.7 kg) at 4 centers in patients undergoing medical (9: low-calorie diet) versus invasive (22: 16 sleeve, 6 bypass) and semi-invasive (6: 2 band, 2 high energy stimulation, 2 aspiration) weight loss therapies. Weight loss was reported as percent weight loss from baseline to latest values at 1 …

Effect Of Impaired Awareness Of Hypoglycemia On Glucose Decline During And After Exercise In The T1dexi Study, Jorge L. Jo Kamimoto, Zoey Li, Robin L. Gal, Jessica R. Castle, Francis J. Doyle, Peter G. Jacobs, Corby K. Martin, Roy W. Beck, Peter Calhoun, Michael C. Riddell, Michael R. Rickels

Clinical Research Faculty Publications

Context: Adults with type 1 diabetes (T1D) face the necessity of balancing the benefits of exercise with the potential hazards of hypoglycemia. Objective: This work aimed to assess whether impaired awareness of hypoglycemia (IAH) affects exercise-associated hypoglycemia in adults with T1D. Methods: We compared continuous glucose monitoring (CGM)-measured glucose during exercise and for 24 hours following exercise from 95 adults with T1D and IAH (Clarke score ≥4 or ≥1 severe hypoglycemic event within the past year) to 95 “aware” adults (Clarke score ≤2 and no severe hypoglycemic event within the past year) matched on sex, age, insulin delivery modality, and …

Covid-19 Implications On Worksite Wellness Programming, Renee A. Underwood, Angela R. Wood, Ralph J. Wood, Rylie B. Broussard, Stephanie T. Broyles

Population and Public Health Science Faculty Publications

Seven of the top ten leading causes of death in the United States are due to chronic diseases and treating these accounts for 86 percent of our nation's health care costs. The workplace offers an environment to implement chronic disease prevention strategies, such as worksite wellness programs, due to the large amount of time spent at the worksite daily by employees. As a result of COVID-19, many organizations began to change their workdays (i.e., working from home). This research sought to understand what, if any, implications the COVID-19 epidemic had on worksite wellness programming. Semistructured interviews were employed and recorded …

Far From Their Origins: A Transcriptomic Investigation On How 2,4-Di-Tert-Butyl-6-(5-Chloro-2h-Benzotriazol-2-Yl) Phenol Affects Rainbow Trout Alevins, Andreas N.M. Eriksson, Justin Dubiel, Alper James Alcaraz, Jon A. Doering, Steve Wiseman

Faculty Publications

Benzotriazole ultraviolet stabilizers (BUVSs) are a group of widely used chemicals added to a variety of consumer (e.g., plastics) and industrial (e.g., metal coating) goods. Although detected globally as an environmentally persistent pollutant, BUVSs have received relatively little toxicological attention and only recently have been acknowledged to affect development and the endocrine system in vivo. In our previous study, altered behavior, indicative of potential neurotoxicity, was observed among rainbow trout alevins (day 14 posthatching) that were microinjected as embryos with a single environmentally relevant dose of 2,4-di-tert-butyl–6-(5-chloro-2H-benzotriazol-2-yl) phenol (UV-327). In the present follow-up study, we performed whole-transcriptome profiling (RNA sequencing) …

Ixpe Observation Of Pks 2155'304 Reveals The Most Highly Polarized Blazar, Pouya M. Kouch, Ioannis Liodakis, Riccardo Middei, Dawoon E. Kim, Fabrizio Tavecchio, Alan P. Marscher, Herman L. Marshall, Steven R. Ehlert, Laura Di Gesu, Svetlana G. Jorstad, Iván Agudo, Grzegorz M. Madejski, Roger W. Romani, Manel Errando, Elina Lindfors, Kari Nilsson, Ella Toppari, Stephen B. Potter, Ryo Imazawa, Mahito Sasada, Yasushi Fukazawa, Koji S. Kawabata, Makoto Uemura, Tsunefumi Mizuno, Tatsuya Nakaoka, Hiroshi Akitaya, Callum Mccall, Helen E. Jermak, Iain A. Steele, Ioannis Myserlis, Mark Gurwell, Garrett K. Keating, Ramprasad Rao

Faculty Publications

We report the X-ray polarization properties of the high-synchrotron-peaked (HSP) blazar PKS 2155'304 based on observations with the Imaging X-ray Polarimetry Explorer (IXPE). We observed the source between Oct 27 and Nov 7, 2023. We also conducted an extensive contemporaneous multiwavelength (MW) campaign. We find that during the first half (T1) of the IXPE pointing, the source exhibited the highest X-ray polarization degree detected for an HSP blazar thus far, (30.7 ± 2.0)%; this dropped to (15.3 ± 2.1)% during the second half (T2). The X-ray polarization angle remained stable during the IXPE pointing at 129.4 '±1.8 and 125.4 '±3.9 …

The K-Profile Parameterization Augmented By Deep Neural Networks (Kpp_Dnn) In The General Ocean Turbulence Model (Gotm), Jianguo Yuan, Jun Hong Liang, Eric P. Chassignet, Olmo Zavala-Romero, Xiaoliang Wan, Meghan F. Cronin

Faculty Publications

This study utilizes Deep Neural Networks (DNN) to improve the K-Profile Parameterization (KPP) for the vertical mixing effects in the ocean's surface boundary layer turbulence. The deep neural networks were trained using 11-year turbulence-resolving solutions, obtained by running a large eddy simulation model for Ocean Station Papa, to predict the turbulence velocity scale coefficient and unresolved shear coefficient in the KPP. The DNN-augmented KPP schemes (KPP_DNN) have been implemented in the General Ocean Turbulence Model (GOTM). The KPP_DNN is stable for long-term integration and more efficient than existing variants of KPP schemes with wave effects. Three different KPP_DNN schemes, each …

Temporal Scales Of Mass Wasting Sedimentation Across The Mississippi River Delta Front Delineated By 210pb/137cs Geochronology, Jeffrey Duxbury, Samuel J. Bentley, Kehui Xu, Navid H. Jafari

Faculty Publications

The Mississippi River Delta Front (MRDF) is a subaqueous apron of rapidly deposited and weakly consolidated sediment extending from the subaerial portions of the Birdsfoot Delta of the Mississippi River, long characterized by mass-wasting sediment transport. Four (4) depositional environments dominate regionally (an undisturbed topset apron, mudflow gully, mudflow lobe, and prodelta), centering around mudflow distribution initiated by a variety of factors (hurricanes, storms, and fluid pressure). To better understand the spatiotemporal scales of the events as well as the controlling processes, eight cores (5.8–8.0 m long) taken offshore from the South Pass (SP) and the Southwest Pass (SWP) were …

Insights From Augmented Data Integration And Strong Regularization In Drug Synergy Prediction With Synergnet, Mengmeng Liu, Gopal Srivastava, J. Ramanujam, Michal Brylinski

Faculty Publications

SynerGNet is a novel approach to predicting drug synergy against cancer cell lines. In this study, we discuss in detail the construction process of SynerGNet, emphasizing its comprehensive design tailored to handle complex data patterns. Additionally, we investigate a counterintuitive phenomenon when integrating more augmented data into the training set results in an increase in testing loss alongside improved predictive accuracy. This sheds light on the nuanced dynamics of model learning. Further, we demonstrate the effectiveness of strong regularization techniques in mitigating overfitting, ensuring the robustness and generalization ability of SynerGNet. Finally, the continuous performance enhancements achieved through the integration …

The Effects Of The Atrial Natriuretic Peptide Deficiency On Renal Cortical Mitochondrial Bioenergetics In The Dahl Ss Rat, Alena Cherezova, Anastasia Sudarikova, Valeriia Vasileva, Regina Iurchenko, Anna Nikiforova, Denisha R. Spires, Aleksandra S. Zamaro, Adam C. Jones, Ryan S. Schibalski, Zheng Dong, Oleg Palygin, Krisztian Stadler, Daria V. Ilatovskaya

Division of Basic Science Faculty Publications

Atrial Natriuretic Peptide (ANP) plays an important role in blood pressure regulation. Low levels of ANP correlate with the development of salt-sensitive hypertension (SS-HTN). Our previous studies indicated that ANP deficiency exacerbated renal function decline in SS-HTN. In the heart and fat tissue, ANP was reported to affect lipid peroxidation and mitochondrial bioenergetics but the effects of ANP on mitochondrial function in the kidney are unexplored. We hypothesized that ANP deficiency in SS-HTN causes renal bioenergetic shift, leading to disruption of mitochondrial network and oxidative stress. To address the hypothesis, we placed Dahl SS wild-type (SSWT) and ANP knockout (SSNPPA−/−) …

Vibrational Study Of Co, O2, And H2 Adsorbed On The Cocrfeni (110) High Entropy Alloy Surface, Frank Mckay, Andrew N. Okafor, David P. Young, Ye Xu, Phillip T. Sprunger

Faculty Publications

The vibrational properties of CO, O2, and H2 molecularly or dissociatively adsorbed on a CoCrFeNi(110) surface have been probed using high-resolution energy loss spectroscopy (HREELS) and modeled using density functional theory (DFT) calculations. Large (∼20 mm3) single-crystal, quaternary face-centered cubic CoCrFeNi was synthesized via a modified Czochralski technique. We show strong evidence that CO adsorbs primarily on bridge and on-top sites in compositionally varied local environments, which reflect the random, multielemental surface composition inherent in a high entropy alloy. A variation of adsorption sites is also found with oxygen, which exhibits two broad groups of modes. Comparison to previous photoemission …

Detecting Sand Ingress And Migration Using Fiber Optic Distributed Acoustic Sensing Technology And Computational Fluid Dynamics During Oil And Gas Production, Rishikesh Shetty

LSU Doctoral Dissertations

Sand production in oil and gas operations presents significant challenges, leading to equipment damage, reduced production efficiency, and costly well interventions. Conventional sand detection techniques, primarily surface-based acoustic sensors, fail to provide real-time insights into sand ingress and migration within the wellbore. This dissertation explores the use of distributed fiber optic sensing technology for monitoring sand transport in pipelines and wellbores.

This research is divided into two experimental phases: a surface flow loop and a wellbore setup. The surface flow loop experiment involves a 40-ft-long, 2-in. diameter PVC pipe to simulate sand transport in horizontal pipelines. Sand slurry, with varying …

Sources And Transport Of Dissolved Organic Carbon In Barataria Basin, Louisiana, Mukseet Mahmood

LSU Master's Theses

The fate of soil organic carbon loss from eroding coastal wetlands is of great importance, given its potential impact on atmospheric CO2 concentration. A large fraction of this soil organic carbon upon coastal erosion is released as dissolved organic and inorganic carbon (DOC and DIC) to adjacent water bodies.

In this study, we investigate the seasonal distribution and transport of DOC and DIC in Barataria basin in Louisiana, USA, bordering northern Gulf of Mexico. This region is currently undergoing one of the highest land-loss in the USA. Seasonal measurements of DOC, DIC and colored dissolved organic matter (CDOM) were carried …

Creating A Wholistic Manufacturing Score To Highlight The Effects Of Hidden Inefficiencies In Automated Manufacturing Caused By Soft Dedication And Preventative Maintenance Failures, Oded Tal

LSU Doctoral Dissertations

The semiconductor industry is one of the most advanced manufacturing sectors, operating at an unparalleled scale and complexity. A new manufacturing facility costs between $500 million and $15 billion, and the industry's investment in automation is unmatched. However, the intricate and cyclical nature of semiconductor manufacturing creates very complex manufacturing facilities where the boundaries between planning and real-time operations often blur.

For the industry to keep improving, there is a need to create a new method that allows comparison among different manufacturing environments to uncover hidden losses that may be obscured by automation.

To better understand these hidden losses, the …

Trends In Hot Carrier Distribution For Disordered Noble-Transition Metal Alloys, Eklavya Thareja, Kevin M. Mcpeak, Phillip T. Sprunger, Ilya Vekhter, William A. Shelton

Faculty Publications

We developed and tested an approach for predicting trends for efficient hot carrier generation among disordered metal alloys. We provide a simple argument for the importance of indirect transitions in the presence of disorder, thus justifying the use of joint density of states (JDOS)-like quantities for exploring these trends. We introduce a new JDOS-like quantity, JDOSK , which heuristically accounts for longer lifetimes of quasiparticles close to the Fermi energy. To demonstrate the efficacy of this new quantity, we apply it to the study of Cu50X50 where X = Ag, Au, Pd and Y50Pd50 where Y = Au, Ni. We …

Improving Bovine Intracytoplasmic Sperm Injection, Lauren Gatenby

LSU Doctoral Dissertations

Despite large efforts, there has been minimal improvements in bovine intracytoplasmic sperm injection (ICSI) in the last few decades. In this study, we investigate methods to improve embryo development rates with ICSI in cattle through addressing sperm and oocyte factors and modifying injection methods. Inducing the acrosome reaction in bull sperm prior to injection with progesterone increased cleavage (46.2% vs 16.2%) and blastocyst (21% vs 3.8%) rates compared to controls, respectively. Supplementing glutathione during in vitro maturation of the oocyte did reduce free reactive oxygen species (ROS) in the oocyte, but did not improve embryo development rates with ICSI or …

Engineering Electronic Properties Of Random Alloys For Catalytic Applications, Andrew N. Okafor

LSU Doctoral Dissertations

Engineering catalytic materials is a key endeavor in the catalysis science to improve the catalytic activity of existing catalysts for specific applications and reduce the dependence on rare metals and minerals. While alloying, or mixing of metals, has been extensively studied, the focus has conventionally been placed on intermetallic phases or nanostructures such as core-shell particles, which are conceptually described by simple lattice models. This research focuses on understanding the catalytic properties of structurally ordered but compositionally disordered (or random) alloys, which have remained under-explored due to complexity at the atomic scale. Existing research focuses on synthesizing multicomponent alloys and …