Digital Commons Network^™

Synthesis, Crystal And Electronic Structure Of The Zintl Phase Ba16sb11. A Case Study Uncovering Greater Structural Complexity Via Monoclinic Distortion Of The Tetragonal Ca16sb11 Structure Type., Sviatoslav Baranets, Alexander Ovchinnikov, S. M.Gayomi K. Samarakoon, Svilen Bobev

Faculty Publications

The binary Zintl phase Ba16Sb11 has been synthesized and structurally characterized. Detailed studies via single-crystal X-ray diffraction methods indicate that although Ba16Sb11 appears to crystallize in the tetragonal Ca16Sb11 structure type (space group P (Figure presented.) 21m with a=13.5647(9) Å, c=12.4124(12) Å, Z=2, R1=3.14 %; wR2=4.77 %), there exists an extensive structural disorder. Some Ba16Sb11 crystals were found to be monoclinic and the structure was solved and refined in space group P21 (a=18.3929(12) Å, b=13.5233(8) Å, c=18.3978(12) Å, β=94.6600(10)°; Z=4, R1=5.84 %; wR2=9.58 %). The latter corresponds to a 2-fold superstructure of the tetragonal one, which provides a disorder-free structural …

Chitosan-Coated Lignin Nanoparticles Enhance Adsorption And Proliferation Of Alcanivorax Borkumensis At The Hexadecane-Water Interface, Amber J. Pete, Jin Gyun Lee, Michael G. Benton, Bhuvnesh Bharti

Faculty Publications

Bioremediation of oil spills occurs when indigenous microbes metabolize petroleum hydrocarbons. Rapid proliferation of hydrocarbon-consuming bacteria near the oil-water interface is vital to optimizing the oil biodegradation rate. Adding nanoparticles (NPs) to microbial systems can enhance the bacterial growth rate. However, the role of NP source material and surface charge on their ability to impact bacterial growth and oil-water interface characteristics is poorly understood. Here, we investigate the role of NP composition and surface chemistry on the growth rate of hydrocarbon-consuming bacteria and its attachment to the oil-water interface. We use Alcanivorax borkumensis as a model organism because of its …

Structured Ethical Review For Wastewater-Based Testing In Support Of Public Health, Devin A. Bowes, Amanda Darling, Erin M. Driver, Devrim Kaya, Rasha Maal-Bared, Lisa M. Lee, Kenneth Goodman, Sangeet Adhikari, Srijan Aggarwal, Aaron Bivins, Zuzana Bohrerova, Alasdair Cohen, Claire Duvallet, Rasha A. Elnimeiry, Justin M. Hutchison, Vikram Kapoor, Ishi Keenum, Fangqiong Ling, Deborah Sills, Ananda Tiwari, Peter Vikesland, Ryan Ziels, Cresten Mansfeldt

Faculty Publications

Wastewater-based testing (WBT) for SARS-CoV-2 has rapidly expanded over the past three years due to its ability to provide a comprehensive measurement of disease prevalence independent of clinical testing. The development and simultaneous application of WBT measured biomarkers for research activities and for the pursuit of public health goals, both areas with well-established ethical frameworks. Currently, WBT practitioners do not employ a standardized ethical review process, introducing the potential for adverse outcomes for WBT professionals and community members. To address this deficiency, an interdisciplinary workshop developed a framework for a structured ethical review of WBT. The workshop employed a consensus …

Lipid Correction For Carbon Stable Isotope Analysis Of Yellowfin Tuna, Michael A. Dance, Mitchell S. Lovell

Faculty Publications

Carbon stable isotopes (δ¹³C) are widely used in ecological studies to understand diet, food web dynamics, and movements of marine fishes. Still, δ¹³C is influenced by lipid content and often requires chemical extraction or mathematical correction. Here, we developed a species-specific mathematical lipid correction for white muscle tissue of yellowfin tuna (Thunnus albacares), a highly migratory finfish of considerable economic and ecological value. Lipid extraction was conducted on yellowfin tuna white muscle tissue (C:N range: 2.96–6.49), and both linear and non-linear lipid correction models for δ¹³C were fitted and assessed. Lipid extraction increased δ …

Serum Sulfur-Containing Amino Acids And Risk Of Maternal Gestational Diabetes And Adverse Growth Patterns In Offspring, Ninghua Li, Jing Li, Hui Wang, Yijuan Qiao, Weiqin Li, Ming Gao, Enqing Liu, Zhijie Yu, Gang Hu, Zhongze Fang, Junhong Leng, Xilin Yang

Population and Public Health Science Faculty Publications

Background: To estimate associations of sulfur-containing amino acids (SAAs) in the early trimester of pregnancy and gestational diabetes mellitus (GDM) and estimate associations of maternal SAAs with adverse growth patterns in offspring. Methods: We established a 1:1 matched case-control study (n = 486) from our cohort of pregnant women, and 401 children were followed up at ages 1 to 8 years. We conducted binary conditional logistic regression to estimate the risk associations of serum SAAs with GDM. Multinomial logistic regression was implemented to explore associations of maternal SAAs with adverse growth patterns in the offspring. Results: High serum methionine and …

New Frontiers In The Measurement Of Energy Metabolism, Alexandra Niclou, Philippe St-Martin, Leanne M. Redman, Audrey Bergouignan

Clinical Research Faculty Publications

This perspective highlights three key areas of current and future energy metabolism research: intergenerational health, climate change, and interplanetary exploration. We describe the recent advances in determining estimated energy requirements for a large subset of the general population using the gold standard method for free-living total daily energy expenditure estimates, the doubly labeled water method. The global rise in overweight and obesity demands particular attention to energy requirements in pregnancy and early life, as accumulating evidence contributes to our understanding of intergenerational health transmission and the potential for epigenetic programming in utero. We also acknowledge some gaps in necessary guidelines …

The World's 100 Worst Invasive Alien Insect Species Differ In Their Characteristics From Related Non-Invasive Species, Zihua Zhao, Cang Hui, Shuo Peng, Shanqing Yi, Zhihong Li, Gadi V.P. Reddy, Mark Van Kleunen

Faculty Publications

While there has been great interest in species characteristics that promote invasiveness, still little is known about the characteristics that distinguish invasive from non-invasive insects. Using a database on the naturalised distributions of alien insects and expert opinions about their impacts, we identified the world's 100 worst invasive insect species. By comparing species characteristics reported in the literature using a meta-analysis, between the 100 worst invasive species and related non-invasive species, we found that invasive insects overall have more pathways of introduction, occur in more habitats, have higher fecundities, higher voltinism, more genes, shorted lifespans and faster development from egg …

Providing Risk Of The Environment’S Changing Climate Threats For Galleries, Libraries, Archives, & Museums (Protecct-Glam) Data File, Edward Benoit Iii, Jill Trepanier, Jennifer Vanos, Haley Moore, Kaitlyn Bailey, Emily Fisher, Annie Waddell, Mandy Hatman, Mary Sidwell, Symonne Russell, Virginia Seger, Paige Boutte, Amanda Latta, Zoe Mohammad, Kyriel Felton, Erin Deliman, Breanna Benson-Pearce, Wendy Johnson, Allyson Russell, Baillie Pretzer, Christopher Reeder, Melissa Mcconnell, Lisa Dahlke, Kaitlynn Melear, Lillian Bodi, Savannah T. Lyle, Zach Lannes, Gwen L. Wells, Benjamin A. Teincuff, Jason M. Straight, Tiffany Rockwell, Shane T. Manthei, Jennifer L. Benner, Jane Fiegel, Amanda Lima, Elizabeth Rininger, Caroline Melinger, Deborah Metz-Andrews, Meryl Roepke, Karen Isaac, Mallory Collins

School of Information Studies Datasets

The data file was created as part of the IMLS-funded project, PROTECCT-GLAM: Risk of The Environment’s Changing Climate Threats for Galleries, Libraries, Archives, and Museums in an effort to gather the identities and georeferences of all galleries, libraries, archives, and museums located within the United States.

The data file includes 22,388 archives, 21,189 libraries, and 29,781 museums.

Exercise-Induced Changes To The Fiber Type-Specific Redox State In Human Skeletal Muscle Are Associated With Aerobic Capacity, James Shadiow, Edwin R. Miranda, Ryan K. Perkins, Corey E. Mazo, Zhen Lin, Kendell N. Lewis, Jacob T. Mey, Thomas P.J. Solomon, Jacob M. Haus

Division of Basic Science Faculty Publications

The benefits of exercise involve skeletal muscle redox state alterations of nicotinamide adenine dinucleotide (NAD) and flavin adenine dinucleotide (FAD). We determined the fiber-specific effects of acute exercise on the skeletal muscle redox state in healthy adults. Muscle biopsies were obtained from 19 participants (11 M, 8 F; 26 ± 4 yr) at baseline (fasted) and 30 min and 3 h after treadmill exercise at 80% maximal oxygen consumption (V O2max). Muscle samples were probed for autofluorescence of NADH (excitation at 340-360 nm) and oxidized flavoproteins (Fp; excitation at 440-470 nm) and subsequently, fiber typed to quantify the redox signatures …

Guidelines For Parenteral Nutrition In Preterm Infants: The American Society For Parenteral And Enteral Nutrition, Daniel T. Robinson, Kara L. Calkins, Yimin Chen, M. Petrea Cober, Gustave H. Falciglia, David D. Church, Jacob Mey, Liam Mckeever, Timothy Sentongo

Division of Basic Science Faculty Publications

Background: Parenteral nutrition (PN) is prescribed for preterm infants until nutrition needs are met via the enteral route, but unanswered questions remain regarding PN best practices in this population. Methods: An interdisciplinary committee was assembled to answer 12 questions concerning the provision of PN to preterm infants. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) process was used. Questions addressed parenteral macronutrient doses, lipid injectable emulsion (ILE) composition, and clinically relevant outcomes, including PNALD, early childhood growth, and neurodevelopment. Preterm infants with congenital gastrointestinal disorders or infants already diagnosed with necrotizing enterocolitis or PN-associated liver disease (PNALD) at study …

Extract Of Artemisia Dracunculus L. Modulates Osteoblast Proliferation And Mineralization, Matthew C. Scott, Aleah Bourgeois, Yongmei Yu, David H. Burk, Brenda J. Smith, Z. Elizabeth Floyd

Division of Basic Science Faculty Publications

Thiazolidinediones (TZD) significantly improve insulin sensitivity via action on adipocytes. Unfortunately, TZDs also degrade bone by inhibiting osteoblasts. An extract of Artemisia dracunculus L., termed PMI5011, improves blood glucose and insulin sensitivity via skeletal muscle, rather than fat, and may therefore spare bone. Here, we examine the effects of PMI5011 and an identified active compound within PMI5011 (2′,4′-dihydroxy-4-methoxydihydrochalcone, DMC-2) on pre-osteoblasts. We hypothesized that PMI5011 and DMC-2 will not inhibit osteogenesis. To test our hypothesis, MC3T3-E1 cells were induced in osteogenic media with and without PMI5011 or DMC-2. Cell lysates were probed for osteogenic gene expression and protein content and …

A Commentary On Perlstein Et Al. (2023): The Past And Future Of Treating Youth With Limited Prosocial Emotions, Paul J. Frick

Faculty Publications

Perlstein, Fair, Hong, and Waller (Journal of Child Psychology and Psychiatry, 2023) meta-analysis provides a critically important summary of the research on the treatment of children and adolescents with elevated callous–unemotional (CU) traits, 10 years after they were added to diagnostic criteria in the “with Limited Prosocial Emotions” specifier for conduct disorder. Their meta-analysis provides clear and convincing evidence that many treatments that reduce conduct problems in youth are also effective for children with elevated CU traits. However, their findings also indicate that CU traits are a severity indicator, in that youth high on these traits start treatment with more …

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

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.

Active Timber Management By Outsourcing Stumpage Price Uncertainty With The American Put Option, Sun Joseph Chang, Fan Zhang

Faculty Publications

Timber production is risky, with price uncertainties caused by stumpage price fluctuations. In this study, the American put option is employed to outsource such uncertainty and establish the reservation prices at various stand ages. Put option values and the reservation prices derived thereof, thus, help forestland owners decide whether the stumpage price is high enough to justify an immediate timber harvest. With a series of simulations, we demonstrated that using an American put option to cover the downside price risk could substantially increase the average land expectation value compared to the certainty case. Besides, the simulations confirm that buying an …

24-H Movement Behaviors And The Perinatal Period, Chelsea L. Kracht, Leanne M. Redman

Clinical Research Faculty Publications

No abstract provided.

Global Rural Health Disparities In Alzheimer's Disease And Related Dementias: State Of The Science, Lisa Ann Kirk Wiese, Allison Gibson, Marc Aaron Guest, Amy R. Nelson, Raven Weaver, Aditi Gupta, Owen Carmichael, Jordan P. Lewis, Allison Lindauer, Samantha Loi, Rachel Peterson, Kylie Radford, Elizabeth K. Rhodus, Christina G. Wong, Megan Zuelsdorff, Ladan Ghazi Saidi, Esmeralda Valdivieso-Mora, Sanne Franzen, Caitlin N. Pope, Timothy S. Killian, Hom L. Shrestha, Patricia C. Heyn, Ted Kheng Siang Ng, Beth Prusaczyk, Samantha John, Ambar Kulshreshtha, Julia L. Sheffler, Lilah Besser, Valerie Daniel, Magdalena I. Tolea, Justin Miller, Christine Musyimi, Jon Corkey, Veronica Yank

Clinical Research Faculty Publications

INTRODUCTION: Individuals living in rural communities are at heightened risk for Alzheimer's disease and related dementias (ADRD), which parallels other persistent place-based health disparities. Identifying multiple potentially modifiable risk factors specific to rural areas that contribute to ADRD is an essential first step in understanding the complex interplay between various barriers and facilitators. METHODS: An interdisciplinary, international group of ADRD researchers convened to address the overarching question of: “What can be done to begin minimizing the rural health disparities that contribute uniquely to ADRD?” In this state of the science appraisal, we explore what is known about the biological, behavioral, …

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 …

Nucleon-Pair Shell Model Within A Symmetry Broken Basis, Bingcheng He, Siyao Zhang, Yu Zhang, Lei Li, Yanan Luo, Feng Pan, Jerry P. Draayer

Faculty Publications

The nucleon-pair shell model (NPSM) within the framework of a broken symmetry basis is studied. The results demonstrate the validity of such a scheme, which in turn leads to a significant reduction in the dimensionality of the multi-pair configuration space. Specifically, in the case of an axially-deformed basis, the results yield a satisfactory description of the low-lying spectrum, even without the need for applying the projection procedure. In the case of a triaxially-deformed basis, the result of variation after angular momentum projection suggest a potential for using the NPSM to find exact solutions in a semi-magic system.

Probiotic Characteristics Of Streptococcus Thermophilus And Lactobacillus Bulgaricus As Influenced By New Food Sources, Ashly Castro, Ricardo S. Aleman, Miguel Tabora, Shirin Kazemzadeh, Leyla K. Pournaki, Roberto Cedillos, Jhunior Marcia, Kayanush Aryana

Faculty Publications

The current research aimed to evaluate the potential effects of Solanum mammosum, Dioon mejiae, and Amanita caesarea on Streptococcus thermophilus and Lactobacillus delbrueckii subsp. bulgaricus survival and performance after exposure to different harsh conditions such as bile, acid, gastric juice, and lysozyme to mimic the digestive system from mouth to the intestine. Probiotic protease activity was observed to evaluate the proteolytic system. Probiotics were cultured in a broth mixed with plant material, and after incubation, the results were compared to the control sample. Therefore, plant material’s total phenolic compound, total carotenoid compound, antioxidant activity, sugar profile, and acid profile were …

Effects Of Weevil (Rhynchophorus Palmarum), Teosinte (Dioon Mejiae) And Caesar’S Mushroom (Amanita Caesarea) On The Properties Of Lactobacillus Acidophilus La-K, Ricardo S. Aleman, Dany Avila, Allan Avila, Jhunior Marcia, David Picha, Kayanush Aryana, Ismael Montero-Fernández

Faculty Publications

Weevil (Rhynchophorus palmarum) powder, teosinte (Dioon mejiae) and Caesar’s mushroom (Amanita caesarea) flour have bioactive compounds with significant nutritional applications. This paper aimed to examine the influence of weevil, teosinte, and mushroom powders on the protease activity, acid tolerance, bile tolerance, lysozyme tolerance, and gastric juice resistance ability of Lactobacillus acidophilus LA-K. Acid tolerance was determined by adjusting the pH of MRS broth to 2.0 for L. acidophilus incubated under aerobic conditions at 37 °C. Bile tolerance was determined by incorporating 0.3% of oxgall. Protease activity was determined spectrophotometrically at 340 nm. Resistance to 100 mg/L of lysozyme in an …

Benzylfentanyl As A Surrogate Template For Fentanyl-Selective Imprinted Polymers, Md Ragib Hasan, David A. Spivak

Faculty Publications

The illicit use of fentanyl has led to hundreds of thousands of opioid-related deaths worldwide. Therefore, the detection of fentanyl by law enforcement and recreational users is of utmost importance. However, current detection methods are expensive, time-consuming, require special storage conditions, and necessitate complex instrumentation that is generally unportable and requires skilled personnel to operate. An alternative approach would be using molecularly imprinted polymers (MIPs) as the recognition component of a handheld sensor, testing strip, or color-based assay. In this work, a molecularly imprinted polymer was constructed using the functional monomer methacrylic acid (MAA) and the cross-linking monomer ethyleneglycol dimethacrylate …

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 …

From Social To Collective Capital: Factors Behind The Success Of A Covid-19 Task Force, Lauren Mckeague, Sophie G. Wenzel, Robin H. Lemaire

Faculty Publications

Social capital offers an important framework for understanding community disaster preparedness and resiliency at both the individual and community levels. Social capital also offers a lens for understanding interorganizational collaboration, particularly for public health disasters. Yet missing from the literature is an exploration of how social capital at the individual level may develop into collective capital at the group level, to then be leveraged for community public health disaster management. We conducted a mixed-methods case study of an emergent rural task force that formed to manage the COVID-19 pandemic. Using social network and qualitative analysis, we find that pre-existing relationships, …

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 …

Bim And Digital Twins In Infrastructure Projects: An Overview From The Transportation Professional's Perspective, Natállia Mendes

LSU Master's Theses

Transport infrastructure has undergone significant changes in recent years due to the digitalization of construction methods. Consequently, there is an increasing demand for more productive and cost-effective technologies to optimize various aspects such as time, cost, changes, waste, and errors in projects. Notably, technologies such as Building Information Modeling (BIM) and Digital Twin (DT) hold the potential to enhance the performance of infrastructure projects. While BIM has received substantial attention in recent years, Digital Twin is relatively new to the construction industry. This leads to a scarcity of studies on DT and its integration with other emerging technologies like BIM. …

Evaluation Of Organic And Synthetic Herbicides Applications On Indicators Of Soil Health And Weed Suppression In A Conventional Cropping System In Louisiana, Caitlin Denux

LSU Doctoral Dissertations

Synthetic herbicides, with their varying modes of action, are well known for their efficiency in the suppression and control of weed species in U.S. agriculture. However, the consequences of using synthetic herbicides without attention to the surrounding environment can produce chemical run-off, changes in soil health and soil health conditions, and create herbicide-resistant weeds. These consequences have encouraged growers to find alternatives in their weed management programs. In this study, organic and synthetic herbicides were assessed on how well they performed in weed suppression surveys, and their potential effects on soil health indicators. Commonly used indicators include soil pH, β-glucosidase …

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.

Learning From Hierarchical Structure Of Knowledge Graph For Recommendation, Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li

Faculty Publications

Knowledge graphs (KGs) can help enhance recommendations, especially for the data-sparsity scenarios with limited user-item interaction data. Due to the strong power of representation learning of graph neural networks (GNNs), recent works of KG-based recommendation deploy GNN models to learn from both knowledge graph and user-item bipartite interaction graph. However, these works have not well considered the hierarchical structure of knowledge graph, leading to sub-optimal results. Despite the benefit of hierarchical structure, leveraging it is challenging since the structure is always partly-observed. In this work, we first propose to reveal unknown hierarchical structures with a supervised signal detection method and …

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 …