Digital Commons Network^™

Optimizing Quantitative Trait Loci Introgression In Elite Rice Germplasms: Comparing Methods And Population Sizes To Develop New Recipients Via Stochastic Simulations, John Damien Platten, Roberto Fritsche-Neto

Faculty Publications

This study compared three strategies to develop new recipients for quantitative trait loci (QTL) introgression (background recovery [BG], selective sweep [SS] and breeding value [BV]) in a short-term rice breeding programme (over five breeding cycles). Furthermore, we evaluated two different numbers of recipients (10 and 20) in the introgression process and how they influence the population performance and the QTL fixation over cycles. Finally, we used the International Rice Research Institute (IRRI) rice breeding framework as the model to perform the stochastic simulations. Each strategy was simulated and replicated 100 times. Regardless of the selection strategy used, the QTL introgression …

Unlocking The Potential Of Kinase Targets In Cancer: Insights From Canceromicsnet, An Ai-Driven Approach To Drug Response Prediction In Cancer, Manali Singha, Limeng Pu, Gopal Srivastava, Xialong Ni, Brent A. Stanfield, Ifeanyi K. Uche, Paul J.F. Rider, Konstantin G. Kousoulas, J. Ramanujam, Michal Brylinski

Faculty Publications

Deregulated protein kinases are crucial in promoting cancer cell proliferation and driving malignant cell signaling. Although these kinases are essential targets for cancer therapy due to their involvement in cell development and proliferation, only a small part of the human kinome has been targeted by drugs. A comprehensive scoring system is needed to evaluate and prioritize clinically relevant kinases. We recently developed CancerOmicsNet, an artificial intelligence model employing graph-based algorithms to predict the cancer cell response to treatment with kinase inhibitors. The performance of this approach has been evaluated in large-scale benchmarking calculations, followed by the experimental validation of selected …

U-Net-Stn: A Novel End-To-End Lake Boundary Prediction Model, Lirong Yin, Lei Wang, Tingqiao Li, Siyu Lu, Zhengtong Yin, Xuan Liu, Xiaolu Li, Wenfeng Zheng

Faculty Publications

Detecting changes in land cover is a critical task in remote sensing image interpretation, with particular significance placed on accurately determining the boundaries of lakes. Lake boundaries are closely tied to land resources, and any alterations can have substantial implications for the surrounding environment and ecosystem. This paper introduces an innovative end-to-end model that combines U-Net and spatial transformation network (STN) to predict changes in lake boundaries and investigate the evolution of the Lake Urmia boundary. The proposed approach involves pre-processing annual panoramic remote sensing images of Lake Urmia, obtained from 1996 to 2014 through Google Earth Pro Version 7.3 …

Object-Oriented Remote Sensing Approaches For The Detection Of Terrestrial Impact Craters As A Reconnaissance Survey, Habimana Emmanuel, Jaehyung Yu, Lei Wang, Sung Hi Choi, Digne Edmond Rwabuhungu Rwatangabo

Faculty Publications

The purpose of this study is to employ a remote sensing reconnaissance survey based on optimal segmentation parameters and an object-oriented random forest approach to the identification of possible terrestrial impact craters from the global 30-m resolution SRTM DEM. A dataset consisting of 94 confirmed and well-preserved terrestrial impact craters, 104 volcanic calderas, and 124 valleys were extracted from real-world surface features. For craters with different sizes, eight optimal scale parameters from 80 to 3000 have been identified using multi-resolution segmentation, where the scale parameters have a positive correlation (R2 = 0.78) with the diameters of craters. The object-oriented random …

Editorial Introduction: Exploring Theories And Subtleties Of The Policy Process, Geoboo Song, Melissa K. Merry, Nataliia Borozdina, Ben Galloway, Gwen Arnold, Aaron Smith-Walter, Holly L. Peterson, Creed Tumlison

Faculty Publications

No abstract provided.

Cyberinet: Integrated Semi-Modular Sensors For The Computer-Augmented Clarinet, Matthew Bardin

LSU Doctoral Dissertations

The Cyberinet is a new Augmented instrument designed to easily and intuitively provide a method of computer-enhanced performance to the Clarinetist to allow for greater control and expressiveness in a performance. A performer utilizing the Cyberinet is able to seamlessly switch between a traditional performance setting and an augmented one. Towards this, the Cyberinet is a hardware replacement for a portion of a Clarinet containing a variety of sensors embedded within the unit. These sensors collect various real time data motion data of the performer and air fow within the instrument. Additional sensors can be connected to the Cyberinet to …

Mining Chinese Consumer Minds: Motivations For Selling Unwanted Fashion Items In Online Resale Marketplaces, Zhongjie Wang, Chuanlan Liu

Faculty Publications

With the development of China’s fashion resale market, sustainable consumption patterns have gradually become popular in China. Although the prospects of China’s fashion resale market are recognized, more and more consumers are also actively participating in the circular consumption model. Consumers have multiple identities in participating in resale, and can be sellers or buyers. However, the sales intention of Chinese consumers to participate in resale as sellers is still unclear. We need to understand what value Chinese consumers are looking for in resale as sellers. The focus of this exploratory study is to understand the intention of Chinese consumers to …

Countering The Pursuit Of “Magic Bullet” Solutions, Joseph B. Ryan, Paul Mooney

Faculty Publications

No abstract provided.

No Strong Evidence Of The Protein Leverage Hypothesis In Pregnant Women With Obesity And Their Infants, Maryam Kebbe, Jasper Most, Abby D. Altazan, Leanne M. Redman

Clinical Research Faculty Publications

Objective: The goal of this study was to investigate the role of dietary protein on macronutrient and energy intake, maternal adiposity during pregnancy, and infant adiposity at birth. Methods: In 41 women with obesity, early-pregnancy (13–16 weeks) protein intake was assessed with food photography and expressed as a ratio of Estimated Average Requirements (EAR) in pregnancy for protein (0.88 g/kg/d), herein “protein balance.” Energy intake was measured by the intake-balance method, gestational weight gain as grams per week, and fat mass by a three-compartment model. Spearman correlations and linear models were computed using R version 4.1.1 (p < 0.05 considered significant). Results: Women had a mean (SD) age of 27.5 (4.8) years and a pregravid BMI of 34.4 (2.9), kg/m2, and the majority were non-White (n = 23, 56.1%). Protein balance in early pregnancy was not significantly associated with energy intake across mid and mid/late pregnancy (β = 328.7, p = 0.30 and β = 286.2, p = 0.26, respectively) or gestational weight gain (β = 117.0, p = 0.41). Protein balance was inversely associated with fat mass in early, mid, and late pregnancy (β = −10.6, p = 0.01, β = −10.4, p = 0.03, β = −10.3, p = 0.03, respectively). Protein balance did not predict infant adiposity at birth (p > 0.05). Conclusions: Low …

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 …

Thermophysical Properties Of Additively Manufactured (Am) Grcop-42 And Grcop-84, Yehong Chen, Congyuan Zeng, Huan Ding, Selami Emanet, Paul R. Gradl, David L. Ellis, Shengmin Guo

Faculty Publications

Additive manufacturing (AM) has enabled new opportunities of high-performance alloys for use in complex components across the aerospace, industrial, automotive, and energy industries. These industries have growing interest in copper alloys and AM for high-performance heat exchangers such as rocket engine combustion chambers. GRCop copper alloys, such as GRCop-84 (Cu-8Cr-4 Nb at%) and GRCop-42 (Cu-4Cr-2 Nb at%), have high thermal conductivity and high mechanical properties at elevated operating temperatures. In this paper, thermophysical properties for GRCop-84 and GRCop-42 produced using laser powder bed fusion (L-PBF) are examined. While L-PBF parameters and resulting microstructures can be achieved in a laboratory environment, …

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 …

A Robust Experimental Design For Conceptual Model Discrimination Based On Information Theory, Hai V. Pham, Frank T.C. Tsai

Faculty Publications

This study introduces firm information gain for model discrimination based on Shannon entropy and worst-case scenario experimental design. Firm information gain is the minimal additional information gained by an experimental design with respect to existing information. Robust experimental design aims to maximize the firm information gain by searching for the least number of new pumping wells and observation wells. Robust experimental design includes a Bayes factor threshold to ensure that new data provide strong evidence for model discrimination. To maximize the firm information gain, a framework is proposed that combines the parallel-sequential genetic algorithm (GA) for parallel computing and the …

Performance Optimization Study Of The Neuromorphic Radiation Anomaly Detector, James Ghawaly, Aaron Young, Andrew Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine Schuman, Karan Patel

Faculty Publications

This work reports on new results and insights from the optimization of spiking neural networks developed for gamma-ray radiation anomaly detection. Our previous paper introduced the first known neuromorphic algorithm for this application, demonstrating promising results and insights into optimal hyperparameter selection - particularly in the choice of data input encodings. Since the first paper, we have tested the algorithms on new datasets to investigate transferability from one background radiation environment to another. We have also performed a new hyperparameter optimization experiment with this new dataset to investigate the impact of new radiation data formatting techniques, the inclusion or neuronal …

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 …

Large-Scale Nonequilibrium Molecular Studies Of Thermal Hydrate Dissociation, Meisam Adibifard, Olufemi Olorode

Faculty Publications

The energy content of methane hydrate reservoirs (MHRs) is at least twice that of conventional fossil fuels. So, there is considerable interest in their commercial development by heating, among other dissociation mechanisms. However, a few researchers have highlighted the potentially uncontrollable release of methane from MHRs, which could occur because of global warming. Therefore, it is crucial to understand the kinetics of thermal hydrate dissociation to safely develop these resources and prevent the release of this greenhouse gas into the environment. Although there have been several molecular studies of thermal dissociation, most of these use small simulation domains that cannot …

Modulating Water Distribution And The Intramicellar Assembly Of Sequence-Defined Ionic Peptoid Block Copolymers By The Ionic Monomer Position, Bailee N. Barrett, Chi Huan Tung, Guan Rong Huang, Istiak Hossain, Chang Woo Do, Vijay T. John, Wei Ren Chen, Donghui Zhang

Faculty Publications

The intramicellar mass heterogeneity of a series of sequence-defined ionic peptoid block copolymers carrying a single charged monomer has been determined through contrast variation small-angle neutron scattering analysis. We observe that the internal micellar structure, namely, the number density radial distributions of invasive water and peptoid polymer, is significantly impacted by the location of the ionic monomer. By positioning the ionic monomer progressively closer to the hydrophilic/hydrophobic block junction, the micelles become less compact with increasing levels of chain folding and invasive water to accommodate electrostatic repulsion among the ionic monomers via solvation. This results in increasingly smaller micellar aggregates …

Physiologically Relevant Fluid Shear Stress Induced Receptor Conversion In Hormone Receptor-Positive (Hr+) Breast Cancer, Jonathan James Cuccia

LSU Doctoral Dissertations

Breast cancer is the most common type of cancer among all people in the United States as of 2023 and often has devastating impacts on afflicted patients. Although some treatments show great efficacy against primary breast tumors, none have been able to significantly reduce the mortality rate of breast cancer once it has metastasized to distant sites. In primary, hormone receptor-positive (HR+) breast cancers, endocrine therapies are often used as first-line treatments and are generally well-tolerated. However, as the disease progresses, these previously sensitive cancers can become resistant to endocrine therapies and continue proliferating despite them. Therefore, there is a …

Development And Calibration Of The Lmrpm Mid-Breton River Sediment Diversion Gate Operations, Emily E. Fertitta

LSU Master's Theses

With the rate of coastal land loss in Louisiana, the state is looking for innovative ways to help restore and maintain its coastal wetlands. Sediment diversions are going to be constructed along the Lower Mississippi River to mitigate the issues by diverting river water, sediment and nutrients into adjacent wetlands. Since there are currently no real-world applications of sediment diversions, the Lower Mississippi River Physical Model is a beneficial modeling tool to study the impact sediment diversions and relative sea level rise have on the hydraulics and sediment transport processes in the river. The two river sediment diversions on the …

Nanotechnology As A Foundational Tool To Combat Global Food Insecurity, Melanie Kah, Cristina Sabliov, Yi Wang, Jason C. White

Faculty Publications

With a global population racing toward 10 billion people in the next 25 years, the challenge to global food production, storage, and distribution will be immense. There are a range of technologies and strategies that could, at least in theory, be successfully applied to improve food security in a sustainable way. Nanotechnology is one such strategy that is being increasingly recognized as having great potential. Here, we present examples of how nanotechnology can be applied from farm to fork and help to improve availability, access, and utilization of food. We also discuss major challenges associated with efficient production and deployment …

Optimizing Large-Capacity Key-Value Systems For Efficient Data Management, Kefei Wang

LSU Doctoral Dissertations

In today's Internet services, key-value system is playing a crucial and indispensable role, and has attracted extensive research in both academia and industry. During the past years, we have witnessed an unprecedented quick development of both memory-based and flash-based key-value systems. With the rapid evolution of memory and storage technologies, we are seeing both challenges and research opportunities.

In this dissertation, we focus on understanding and optimizing the efficiency of large-capacity, high-speed key-value systems from the perspective of both software and hardware to meet the ever-growing performance expectations. We first propose a multi-tier mapping structure, called Cascade Mapping, exploring the …

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 …

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 …

Bound Preserving Numerical Methods For Infiltration, Arnob Barua

LSU Master's Theses

Simulating the infiltration process in variably saturated media by solving Richards' Equation (RE) remains a computationally challenging task. The degenerate parabolic nature of RE, along with the strongly nonlinear coefficients, makes it very difficult to obtain accurate solutions with conventional numerical methods unless highly refined meshes are used. That is, in the conventional Finite Element Method (FEM), the grid size has to be fine enough to ensure convergence and limit non-physical oscillations, which is computationally expensive. This research aims to develop a second-order accurate FEM discretization with no non-physical oscillations for RE on unstructured meshes which will converge faster than …

Physical Activity For Health - Every Minute Counts, Peter T. Katzmarzyk, John M. Jakicic

Population and Public Health Science Faculty Publications

No abstract provided.

Metamorphic P-T Paths Of Archean Granulite Facies Metasedimentary Lithologies From The Eastern Beartooth Mountains Of The Northern Wyoming Province, Montana, Usa: Constraints From Quartz-In-Garnet (Quig) Raman Elastic Barometry, Geothermobarometry, And Thermodynamic Modeling, Larry Tuttle, Darrell J. Henry

Faculty Publications

Metamorphic pressure and temperature (P-T) paths in late-Archean high-grade rocks of the eastern Beartooth Mountains of Montana (USA), a portion of the Wyoming Province, are established by a combination of imaging, analytical, and modeling approaches. Garnet inclusion mechanical and chemical thermobarometry, applied to several granulite-facies migmatites and an iron formation, is particularly useful in constraining the prograde P-T conditions. Quartz-in-garnet (QuiG) elastic Raman barometry was used on quartz inclusions in garnet for all samples studied. For a smaller subset of four representative samples, QuiG constraints were used in conjunction with Ti-in-quartz (TitaniQ) and Ti-in-biotite (TiB) thermometry to establish unique prograde …

Defeat, Entrapment, And Suicide Desire: Analyzing The Role Of Mindfulness Using Ecological Momentary Assessment., Emma H. Moscardini

LSU Doctoral Dissertations

Extant literature has indicated that the experience of defeat confers risk for experiencing conceptions of entrapment, which in turns increases one’s risk of experiencing suicidal ideation. In addition, certain cognitive processes are hypothesized to increase or decrease the likelihood of feelings of entrapment emerging when one feels defeated. One such cognitive process is mindfulness, defined as present moment awareness with an orientation of openness and acceptance. Better understanding the interplay of defeat, entrapment, mindfulness, and suicidal thinking will contribute to intervention strategies aimed at reducing the severity of suicidal thinking; however, said research should be conducted with consideration that one’s …

Simulation Study Of Shape Memory Polymer Networks Formed By Free Radical Polymerization, Collin D. Wick, Andrew J. Peters, Guoqiang Li

Faculty Publications

Chemically crosslinked thermoset shape memory polymers (TSMPs) can combine the strength required for load-carrying structures and devices with stimuli-responsive properties that can allow them to perform crack-closing or other multifunctional properties. In particular, UV-curable shape memory polymers can be used for 3D printing, and to enhance the design process, a molecular dynamics (MD) modeling framework was developed to study them. The MD simulations were used to calculate thermophysical, mechanical, and shape memory properties for glycerolate dimethacrylate after UV-curing to form a polymer network. Semiquantitative agreement between simulation and experiment was achieved for the different properties compared. By examining various conditions …

Anoctamin 4 Channel Currents Activate Glucose-Inhibited Neurons In The Mouse Ventromedial Hypothalamus During Hypoglycemia, Longlong Tu, Jonathan C. Bean, Yang He, Hailan Liu, Meng Yu, Hesong Liu, Nan Zhang, Na Yin, Junying Han, Nikolas A. Scarcelli, Kristine M. Conde, Mengjie Wang, Yongxiang Li, Bing Feng, Peiyu Gao, Zhao Lin Cai, Makoto Fukuda, Mingshan Xue, Qingchun Tong, Yongjie Yang, Lan Liao, Jianming Xu, Chunmei Wang, Yanlin He, Yong Xu

Division of Basic Science Faculty Publications

Glucose is the basic fuel essential for maintenance of viability and functionality of all cells. However, some neurons —namely, glucose-inhibited (GI) neurons — paradoxically increase their firing activity in low-glucose conditions and decrease that activity in high-glucose conditions. The ionic mechanisms mediating electric responses of GI neurons to glucose fluctuations remain unclear. Here, we showed that currents mediated by the anoctamin 4 (Ano4) channel are only detected in GI neurons in the ventromedial hypothalamic nucleus (VMH) and are functionally required for their activation in response to low glucose. Genetic disruption of the Ano4 gene in VMH neurons reduced blood glucose …

Genetic Dissection Of Alkalinity Tolerance In Rice (Oryza Sativa L.), Lovepreet Singh

LSU Doctoral Dissertations

Alkaline stress is a major threat to rice production globally. The resources for genetic improvement of alkalinity tolerance in rice are limited. We performed genome-wide association study (GWAS) and QTL mapping integrated with whole genome sequencing and expression analysis to identify and confirm QTLs and candidate genes. We developed a near-isogenic line (NIL) population to fine map the two important QTLs. In GWAS experiment, we genotyped and phenotyped a panel of indica and japonica genotypes for alkalinity tolerance and identified genomic regions and candidate genes conferring alkalinity tolerance. Principal component analysis revealed that alkalinity tolerance score, shoot dry weight, and …