Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Louisiana State University

Discipline
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 1201 - 1230 of 15221

Full-Text Articles in Entire DC Network

Analytical Advances In Homeowner Flood Risk Quantification Considering Insurance, Building Replacement Value, And Freeboard, Md Adilur Rahim, Rubayet Bin Mostafiz, Carol J. Friedland, Robert V. Rohli, Nazla Bushra Jan 2023

Analytical Advances In Homeowner Flood Risk Quantification Considering Insurance, Building Replacement Value, And Freeboard, Md Adilur Rahim, Rubayet Bin Mostafiz, Carol J. Friedland, Robert V. Rohli, Nazla Bushra

Faculty Publications

An accurate economic loss assessment for natural hazards is vital for planning, mitigation, and actuarial purposes. The widespread and costly nature of flood hazards, with the economically disadvantaged disproportionately victimized population, makes flood risk assessment particularly important. Here, flood risk is assessed as incurred by the homeowner vs. the flood insurer for insured U.S. properties through the derivation of average annual loss (AAL). AAL is estimated and partitioned using Monte Carlo simulation at the individual home scale, considering insurance coverage and deductible, and the first-floor height (i.e., height of the first floor above the ground), to determine the AAL proportion …

Go to article

Flood Damage And Shutdown Times For Industrial Process Facilities: A Vulnerability Assessment Process Framework, Carol J. Friedland, Fatemeh Orooji, Ayat Al Assi, Matthew L. Flynn, Rubayet Bin Mostafiz Jan 2023

Flood Damage And Shutdown Times For Industrial Process Facilities: A Vulnerability Assessment Process Framework, Carol J. Friedland, Fatemeh Orooji, Ayat Al Assi, Matthew L. Flynn, Rubayet Bin Mostafiz

Faculty Publications

Much of the U.S. petrochemical infrastructure is heavily concentrated along the western coast of the Gulf of Mexico within the impact zone of major tropical cyclone events. Flood impacts of recent tropical disturbances have been exacerbated by an overall lack of recognition of the vulnerabilities to process systems from water intrusion, as well as insufficient disaster mitigation planning. Vulnerability assessment methods currently call for the aggregation of qualitative data to survey the susceptibility of industrial systems to floodwater damage. A means to quantify these consequences is less often employed, resulting in a poor translation of the threat of flood hazards …

Go to article

Feasible Delivery System Based On Poly(Lactictide-Co-Glycolide) Nanoparticles Loaded With Antimicrobial Mupirocin For Possible Wound Healing, Ludmila Košarišťanová, Tomáš Komprda, Vendula Popelková, Tatiana Fialová, Pavla Vymazalová, Carlos E. Astete Jan 2023

Feasible Delivery System Based On Poly(Lactictide-Co-Glycolide) Nanoparticles Loaded With Antimicrobial Mupirocin For Possible Wound Healing, Ludmila Košarišťanová, Tomáš Komprda, Vendula Popelková, Tatiana Fialová, Pavla Vymazalová, Carlos E. Astete

Faculty Publications

The objective of the study was to assess cytotoxicity (based on the dimethylthiazol– diphenyltetrazolium bromide cell viability assay) and antimicrobial effects of poly(lactictide-co-glycolide) nanoparticles with entrapped mupirocin (PLGA/MUP NPs) on Staphylococcus aureus and methicillin-resistant S. aureus (MRSA) strains using a disk-diffusion method, cryo-scanning electron microscopy (cryo-SEM) and fluorescence microscopy. Based on the evaluation of the growth curve, PLGA/MUP NPs inhibited growth of the both tested strains already at a concentration of 0.29 µg/ml, and their inhibitory effect at concentrations from 0.29 to 1.17 µg/ml was comparable with free MUP using the disk-diffusion method. PLGA/MUP NPs also tended to increase the …

Go to article

Gcs Site Selection In Saline Miocene Formations In South Louisiana, Muhammad Zulqarnain, Stephen O. Sears, Mehdi Zeidouni, Richard G. Hughes, Douglas Carlson, Carlos F. Rivera Jan 2023

Gcs Site Selection In Saline Miocene Formations In South Louisiana, Muhammad Zulqarnain, Stephen O. Sears, Mehdi Zeidouni, Richard G. Hughes, Douglas Carlson, Carlos F. Rivera

Faculty Publications

One of the key requirements of a commercial scale geologic carbon sequestration (GCS) site selection process is identifying injection sites to safely inject and retain injected CO2 over extended time scales. This requires thorough evaluation of site-specific surface and subsurface features. A site screening and selection framework was developed and used to identify potential sites in South Louisiana, incorporating surface data including site proximity to large CO2 stationary sources, vicinity of large population centres and state lands, land usage, legacy oil and gas wells, and local/regional geologic trends. Regionally the Miocene sediments thicken and dip towards the south, reflecting a …

Go to article

Effects Of Riverine Barriers On Avian Evolution In The Amazon Basin, Andre Eugene Moncrieff Dec 2022

Effects Of Riverine Barriers On Avian Evolution In The Amazon Basin, Andre Eugene Moncrieff

LSU Doctoral Dissertations

The high biodiversity found in the Amazon Basin has long captivated the attention of naturalists and evolutionary biologists seeking to explain its origins. Early observations by Alfred Wallace highlighted the role of rivers in delimiting the geographic ranges of many species; furthermore, where rivers narrow towards their headwaters, he noted that some species cross rivers freely. A major goal of this dissertation is to investigate how these and other observations about riverine barriers might inform our understanding of how speciation unfolds in Amazonia. My approach involved generating genomic data with dense geographic sampling for manakins in the genus Lepidothrix, …

Go to article

A Lagrangian Particle Model With Nesting Capability And Its Application To The Modeling Of Plastics In The Gulf Of Mexico, Weiyuan Dong Dec 2022

A Lagrangian Particle Model With Nesting Capability And Its Application To The Modeling Of Plastics In The Gulf Of Mexico, Weiyuan Dong

LSU Master's Theses

In our study, we refined an offline three-dimensional (3D) Lagrangian model named the Larval TRANSport Lagrangian (LTRANS) model and applied it to the Gulf of Mexico (GOM). Previous research that applied the model within the Texas-Louisiana (TXLA) shelf domain, which released plastics to simulate their trajectories and fate, showed that more than 40% of simulated particles did not reach the land boundaries. Some of those particles were assumed to move out of the TXLA domain. In reality, these particles could also re-enter the TXLA domain due to processes such as tidal excursion, mesoscale eddies and inertial oscillation. However, the model …

Go to article

Runge-Kutta Methods For Rough Differential Equations, Martin Redmann, Sebastian Riedel Dec 2022

Runge-Kutta Methods For Rough Differential Equations, Martin Redmann, Sebastian Riedel

Journal of Stochastic Analysis

No abstract provided.

Go to article

A Jump-Diffusion Process For Asset Price With Non-Independent Jumps, Yihren Wu, Majnu John Dec 2022

A Jump-Diffusion Process For Asset Price With Non-Independent Jumps, Yihren Wu, Majnu John

Journal of Stochastic Analysis

No abstract provided.

Go to article

Genetic Characterization Of Resitance To Frogeye Leaf Spot Of Soybean, Gabriel D. Munoz Herrera Dec 2022

Genetic Characterization Of Resitance To Frogeye Leaf Spot Of Soybean, Gabriel D. Munoz Herrera

LSU Master's Theses

Cercospora sojina is the causal agent of the fungal disease frogeye leaf spot (FLS) in soybeans. Management of this disease consists of foliar application of fungicides and the use of resistant cultivars. However, fungicide resistance has been detected in C. sojina populations and characterization of host resistance genes is relatively limited. To overcome the latter obstacle, we aimed to identify novel resistance genes using quantitative image analysis of the SoyNAM population. Two image analysis workflows using ImageJ and PlantCV were optimized and implemented to increase reproducibility and reduce subjectivity. The quantitative measurements included disease severity, lesion count, and average lesion …

Go to article

Application Of Distributed Fiber-Optic Sensing For Pressure Predictions And Multiphase Flow Characterization, Gerald Kelechi Ekechukwu Dec 2022

Application Of Distributed Fiber-Optic Sensing For Pressure Predictions And Multiphase Flow Characterization, Gerald Kelechi Ekechukwu

LSU Doctoral Dissertations

In the oil and gas industry, distributed fiber optics sensing (DFOS) has the potential to revolutionize well and reservoir surveillance applications. Using fiber optic sensors is becoming increasingly common because of its chemically passive and non-magnetic interference properties, the possibility of flexible installations that could be behind the casing, on the tubing, or run on wireline, as well as the potential for densely distributed measurements along the entire length of the fiber. The main objectives of my research are to develop and demonstrate novel signal processing and machine learning computational techniques and workflows on DFOS data for a variety of …

Go to article

A Very Luminous Jet From The Disruption Of A Star By A Massive Black Hole, Igor Andreoni, Michael W. Coughlin, Daniel A. Perley, Yuhan Yao, Wenbin Lu, S. Bradley Cenko, Harsh Kumar, Shreya Anand, Anna Y.Q. Ho, Mansi M. Kasliwal, Antonio De Ugarte Postigo, Ana Sagués-Carracedo, Steve Schulze, D. Alexander Kann, S. R. Kulkarni, Jesper Sollerman, Nial Tanvir, Armin Rest, Luca Izzo, Jean J. Somalwar, David L. Kaplan, Tomás Ahumada, G. C. Anupama, Katie Auchettl, Sudhanshu Barway, Eric C. Bellm, Varun Bhalerao, Joshua S. Bloom, Michael Bremer, Mattia Bulla, Eric Burns, Sergio Campana, Poonam Chandra Dec 2022

A Very Luminous Jet From The Disruption Of A Star By A Massive Black Hole, Igor Andreoni, Michael W. Coughlin, Daniel A. Perley, Yuhan Yao, Wenbin Lu, S. Bradley Cenko, Harsh Kumar, Shreya Anand, Anna Y.Q. Ho, Mansi M. Kasliwal, Antonio De Ugarte Postigo, Ana Sagués-Carracedo, Steve Schulze, D. Alexander Kann, S. R. Kulkarni, Jesper Sollerman, Nial Tanvir, Armin Rest, Luca Izzo, Jean J. Somalwar, David L. Kaplan, Tomás Ahumada, G. C. Anupama, Katie Auchettl, Sudhanshu Barway, Eric C. Bellm, Varun Bhalerao, Joshua S. Bloom, Michael Bremer, Mattia Bulla, Eric Burns, Sergio Campana, Poonam Chandra

Faculty Publications

Tidal disruption events (TDEs) are bursts of electromagnetic energy that are released when supermassive black holes at the centres of galaxies violently disrupt a star that passes too close1. TDEs provide a window through which to study accretion onto supermassive black holes; in some rare cases, this accretion leads to launching of a relativistic jet2–9, but the necessary conditions are not fully understood. The best-studied jetted TDE so far is Swift J1644+57, which was discovered in γ-rays, but was too obscured by dust to be seen at optical wavelengths. Here we report the optical detection of …

Go to article

Pnp Maxtools: Autonomous Parameter Control In Maxmsp Utilizing Mir Algorithms, Austin Alexander Franklin Dec 2022

Pnp Maxtools: Autonomous Parameter Control In Maxmsp Utilizing Mir Algorithms, Austin Alexander Franklin

LSU Doctoral Dissertations

This research presents a new approach to computer automation through the implementation of novel real-time music information retrieval algorithms developed for this project. It documents the development of the PnP.Maxtools package, a set of open source objects designed within the popular programming environment MaxMSP. The package is a set of pre/post processing filters, objective and subjective timbral descriptors, audio effects, and other objects that are designed to be used together to compose music or improvise without the use of external controllers or hardware. The PnP.Maxtools package objects are designed to be used quickly and easily using a `plug and play' …

Go to article

Leveraging Critical Information Literacy To Develop Social Justice-Minded Data Literacy Competencies, Ben B. Chiewphasa, Matthew L. Sisk Dec 2022

Leveraging Critical Information Literacy To Develop Social Justice-Minded Data Literacy Competencies, Ben B. Chiewphasa, Matthew L. Sisk

Journal of Critical Digital Librarianship

Librarians who interact with data in different contexts can come together in a community of practice – leveraging each other's perspectives to collectively engage with critical librarianship and reimagine social justice-related learning outcomes for information and data literacy programming. Specifically, this paper explores the overlapping goals of different critical literacies (such as critical information literacy and QuantCrit), showcasing that synergies exist between social justice-oriented librarians with distinctive roles and responsibilities. By leveraging a community of practice as a vehicle for continuing education in inclusive pedagogy, librarians can empower their patrons, students, and colleagues to challenge and act upon surrounding data …

Go to article

Toward Ethical And Inclusive Descriptive Practices, Shira Peltzman, Kelly Besser Dec 2022

Toward Ethical And Inclusive Descriptive Practices, Shira Peltzman, Kelly Besser

Journal of Critical Digital Librarianship

This case study describes the context which galvanized our Collection Management unit at UCLA Library Special Collections to collectively craft a descriptive practices statement within a study group focused on an anti-oppressive approach to discovery and access. This paper discusses the planning and design of the study group, our direct engagement at meetings, collaborative iteration, and liberatory pedagogical strategies that enabled the statement’s publication, and its impact within our department, library, and beyond. This work speaks to radical descriptive change and provides a potential path for the development of ethical and inclusive descriptive practices at other institutions.

Go to article

Development Of Functional Markers For Resistance To Smut And Identification Of Genes Differentially Expressed In Response To Brown Rust In Sugarcane, Jose David Cortes Dec 2022

Development Of Functional Markers For Resistance To Smut And Identification Of Genes Differentially Expressed In Response To Brown Rust In Sugarcane, Jose David Cortes

LSU Doctoral Dissertations

Smut, caused by Sporisorium scitamineum and brown rust, caused by Puccinia melanocephala, are two of the most important diseases that affect sugarcane production in Louisiana and worldwide. Smut continues to cause losses in the breeding program in Louisiana. Therefore, a QTL analysis was conducted to identify molecular markers associated with resistance in F1 progeny (162) of a biparental cross between susceptible cultivar L 99-233 and resistant HoCP 96-540. Using 1,574 single-dose SNP markers, a total of 253 linkage groups (LG) were obtained with a genome coverage of 24,580.15 cM. Six QTLs were localized on five LGs. The highest …

Go to article

A Predictive Model Using The Mesoscopic Architecture Of The Living Brain To Detect Alzheimer’S Disease, Marianna Inglese, Neva Patel, Kristofer Linton-Reid, Flavia Loreto, Zarni Win, Richard J. Perry, Christopher Carswell, Matthew Grech-Sollars, William R. Crum, Haonan Lu, Paresh A. Malhotra, Lisa C. Silbert, Betty Lind, Rachel Crissey, Jeffrey A. Kaye, Raina Carter, Sara Dolen, Joseph Quinn, Lon S. Schneider, Sonia Pawluczyk, Mauricio Becerra, Liberty Teodoro, Karen Dagerman, Bryan M. Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Jaimie Ziolkowski, Judith L. Heidebrink, Zbizek-Nulph, Joanne L. Lord, Lisa Zbizek-Nulph, Ronald Petersen, Sara S. Mason Dec 2022

A Predictive Model Using The Mesoscopic Architecture Of The Living Brain To Detect Alzheimer’S Disease, Marianna Inglese, Neva Patel, Kristofer Linton-Reid, Flavia Loreto, Zarni Win, Richard J. Perry, Christopher Carswell, Matthew Grech-Sollars, William R. Crum, Haonan Lu, Paresh A. Malhotra, Lisa C. Silbert, Betty Lind, Rachel Crissey, Jeffrey A. Kaye, Raina Carter, Sara Dolen, Joseph Quinn, Lon S. Schneider, Sonia Pawluczyk, Mauricio Becerra, Liberty Teodoro, Karen Dagerman, Bryan M. Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Jaimie Ziolkowski, Judith L. Heidebrink, Zbizek-Nulph, Joanne L. Lord, Lisa Zbizek-Nulph, Ronald Petersen, Sara S. Mason

Clinical Research Faculty Publications

Background: Alzheimer’s disease, the most common cause of dementia, causes a progressive and irreversible deterioration of cognition that can sometimes be difficult to diagnose, leading to suboptimal patient care. Methods: We developed a predictive model that computes multi-regional statistical morpho-functional mesoscopic traits from T1-weighted MRI scans, with or without cognitive scores. For each patient, a biomarker called “Alzheimer’s Predictive Vector” (ApV) was derived using a two-stage least absolute shrinkage and selection operator (LASSO). Results: The ApV reliably discriminates between people with (ADrp) and without (nADrp) Alzheimer’s related pathologies (98% and 81% accuracy between ADrp - including the early form, mild …

Go to article

The Polygenic Risk Score Knowledge Base Offers A Centralized Online Repository For Calculating And Contextualizing Polygenic Risk Scores, Madeline L. Page, Elizabeth L. Vance, Matthew E. Cloward, Ed Ringger, Louisa Dayton, Mark T.W. Ebbert, L. Ravdin, M. Lin, A. Lee, G. Chiang, N. Relkin, R. B. Santulli, M. L. Hynes, M. Seltzer, L. A. Flashman, K. Anderson, K. Blank, G. D. Perlson, S. Kittur, S. Correia, P. Malloy, S. Salloway, S. Potkin, P. Newhouse, M. Sabbagh, A. Garcia, J. Shi, J. Masdeu, A. Williams, J. Mintzer, A. O’Connell, A. Mintz, D. Munic, C. Bernick Dec 2022

The Polygenic Risk Score Knowledge Base Offers A Centralized Online Repository For Calculating And Contextualizing Polygenic Risk Scores, Madeline L. Page, Elizabeth L. Vance, Matthew E. Cloward, Ed Ringger, Louisa Dayton, Mark T.W. Ebbert, L. Ravdin, M. Lin, A. Lee, G. Chiang, N. Relkin, R. B. Santulli, M. L. Hynes, M. Seltzer, L. A. Flashman, K. Anderson, K. Blank, G. D. Perlson, S. Kittur, S. Correia, P. Malloy, S. Salloway, S. Potkin, P. Newhouse, M. Sabbagh, A. Garcia, J. Shi, J. Masdeu, A. Williams, J. Mintzer, A. O’Connell, A. Mintz, D. Munic, C. Bernick

Clinical Research Faculty Publications

The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currently containing over 250,000 genetic variant associations from the NHGRI-EBI GWAS Catalog for users to easily calculate sample-specific polygenic risk scores with comparable results to other available tools. Polygenic risk scores are calculated either online through the Polygenic Risk Score Knowledge Base (PRSKB; https://prs.byu.edu) or via a command-line interface. We report study-specific polygenic risk scores across the UK Biobank, 1000 Genomes, and the Alzheimer’s Disease …

Go to article

Total Energy Expenditure Is Repeatable In Adults But Not Associated With Short-Term Changes In Body Composition, Rebecca Rimbach, Yosuke Yamada, Hiroyuki Sagayama, Philip N. Ainslie, Lene F. Anderson, Liam J. Anderson, Lenore Arab, Issaad Baddou, Kweku Bedu-Addo, Ellen E. Blaak, Stephane Blanc, Alberto G. Bonomi, Carlijn V.C. Bouten, Pascal Bovet, Maciej S. Buchowski, Nancy F. Butte, Stefan G.J.A. Camps, Graeme L. Close, Jamie A. Cooper, Sai Krupa Das, Lara R. Dugas, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Annelies H. Goris, Michael Gurven, Catherine Hambly, Asmaa El Hamdouchi, Marije B. Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M. Joosen, Peter Katzmarzyk Dec 2022

Total Energy Expenditure Is Repeatable In Adults But Not Associated With Short-Term Changes In Body Composition, Rebecca Rimbach, Yosuke Yamada, Hiroyuki Sagayama, Philip N. Ainslie, Lene F. Anderson, Liam J. Anderson, Lenore Arab, Issaad Baddou, Kweku Bedu-Addo, Ellen E. Blaak, Stephane Blanc, Alberto G. Bonomi, Carlijn V.C. Bouten, Pascal Bovet, Maciej S. Buchowski, Nancy F. Butte, Stefan G.J.A. Camps, Graeme L. Close, Jamie A. Cooper, Sai Krupa Das, Lara R. Dugas, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Annelies H. Goris, Michael Gurven, Catherine Hambly, Asmaa El Hamdouchi, Marije B. Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M. Joosen, Peter Katzmarzyk

Clinical Research Faculty Publications

Low total energy expenditure (TEE, MJ/d) has been a hypothesized risk factor for weight gain, but repeatability of TEE, a critical variable in longitudinal studies of energy balance, is understudied. We examine repeated doubly labeled water (DLW) measurements of TEE in 348 adults and 47 children from the IAEA DLW Database (mean ± SD time interval: 1.9 ± 2.9 y) to assess repeatability of TEE, and to examine if TEE adjusted for age, sex, fat-free mass, and fat mass is associated with changes in weight or body composition. Here, we report that repeatability of TEE is high for adults, but …

Go to article

Low Total Osteocalcin Levels Are Associated With All-Cause And Cardiovascular Mortality Among Patients With Type 2 Diabetes: A Real-World Study, Yun Shen, Lei Chen, Jian Zhou, Chunfang Wang, Fei Gao, Wei Zhu, Gang Hu, Xiaojing Ma, Han Xia, Yuqian Bao Dec 2022

Low Total Osteocalcin Levels Are Associated With All-Cause And Cardiovascular Mortality Among Patients With Type 2 Diabetes: A Real-World Study, Yun Shen, Lei Chen, Jian Zhou, Chunfang Wang, Fei Gao, Wei Zhu, Gang Hu, Xiaojing Ma, Han Xia, Yuqian Bao

Population and Public Health Science Faculty Publications

Background: The association between osteocalcin and mortality has been scantly studied. We aimed to investigate the association between osteocalcin along with its trajectories and mortality based on long-term longitudinal data. Methods: We performed a retrospective cohort study of 9413 type 2 diabetic patients with at least three measurements of total serum osteocalcin within 3 years since their first inpatient diagnosis of type 2 diabetes. Baseline, mean values of osteocalcin levels and their trajectories were used as exposures. A multivariable-adjusted Cox proportional hazards model was used to estimate the association of osteocalcin levels and their trajectories with mortality. Results: During a …

Go to article

A Study Of The Effect Of Sympathetic Framing On Attitudes Toward The Homeless, Marshall Mills Dec 2022

A Study Of The Effect Of Sympathetic Framing On Attitudes Toward The Homeless, Marshall Mills

Honors Capstones

No abstract provided.

Go to article

The Evaluation Of A Clinical Decision Support Tool Using Natural Language Processing To Screen Hospitalized Adults For Unhealthy Substance Use: Protocol For A Quasi-Experimental Design, Cara Joyce, Talar W. Markossian, Jenna Nikolaides, Elisabeth Ramsey, Hale M. Thompson, Juan C. Rojas, Brihat Sharma, Dmitriy Dligach, Madeline K. Oguss, Richard S. Cooper, Majid Afshar Dec 2022

The Evaluation Of A Clinical Decision Support Tool Using Natural Language Processing To Screen Hospitalized Adults For Unhealthy Substance Use: Protocol For A Quasi-Experimental Design, Cara Joyce, Talar W. Markossian, Jenna Nikolaides, Elisabeth Ramsey, Hale M. Thompson, Juan C. Rojas, Brihat Sharma, Dmitriy Dligach, Madeline K. Oguss, Richard S. Cooper, Majid Afshar

Faculty Publications

Background: Automated and data-driven methods for screening using natural language processing (NLP) and machine learning may replace resource-intensive manual approaches in the usual care of patients hospitalized with conditions related to unhealthy substance use. The rigorous evaluation of tools that use artificial intelligence (AI) is necessary to demonstrate effectiveness before system-wide implementation. An NLP tool to use routinely collected data in the electronic health record was previously validated for diagnostic accuracy in a retrospective study for screening unhealthy substance use. Our next step is a noninferiority design incorporated into a research protocol for clinical implementation with prospective evaluation of clinical …

Go to article

Leadership Development And Training In Community-Based Organizations In Myanmar, Anna Rockett Dec 2022

Leadership Development And Training In Community-Based Organizations In Myanmar, Anna Rockett

Honors Capstones

No abstract provided.

Go to article

Louisiana Children's Trust Fund Annual Report 2021-2022, Elizabeth Winchester, Jada Thomas-Smith, Harleen Sandhu, Aimee H. Moles, Judith L. F. Rhodes Dec 2022

Louisiana Children's Trust Fund Annual Report 2021-2022, Elizabeth Winchester, Jada Thomas-Smith, Harleen Sandhu, Aimee H. Moles, Judith L. F. Rhodes

Reports

Child abuse and neglect is a leading factor in the staggeringly high rates of child mortality in Louisiana. In 2017, Louisiana had 44,793 total referrals for child abuse and neglect of which 19,851 were investigated (CWLA, 2019). Child abuse and neglect can have multiple detrimental effects on a child’s physical, psychological, and behavioral health. Effective prevention efforts are critical to ensuring the immediate and long-term safety and well-being of children in Louisiana. Each year, LCTF selects high-quality proposals and funds a range of prevention efforts to protect children, strengthen family well-being, and educate the public about children’s safety. Local, national, …

Go to article

Channel Bed Adjustment Of The Lowermost Yangtze River Estuary From 1983 To 2018: Causes And Implications, Ming Tang, Heqin Cheng, Yijun Xu, Hao Hu, Shuwei Zheng, Bo Wang, Zhongyong Yang, Lizhi Teng, Wei Xu, Erfeng Zhang, Jiufa Li Dec 2022

Channel Bed Adjustment Of The Lowermost Yangtze River Estuary From 1983 To 2018: Causes And Implications, Ming Tang, Heqin Cheng, Yijun Xu, Hao Hu, Shuwei Zheng, Bo Wang, Zhongyong Yang, Lizhi Teng, Wei Xu, Erfeng Zhang, Jiufa Li

Faculty Publications

Deltaic channels are significant landforms at the interface of sediment transfer from land to oceanic realms. Understanding the dynamics of these channels is urgent because delta processes are sensitive to climate change and adjustments in human activity. To obtain a better understanding of the morphological processes of large deltaic channels, this study assessed the evolution and response mechanism of the South Channel and South Passage (SCSP) in the Yangtze Estuary between 1983 to 2018 using hydrology, multibeam echo sounding and historical bathymetry datasets. Decadal changes in riverbed volume and erosion/deposition patterns in the SCSP were assessed. The results showed that …

Go to article

Satisfaction Of Patients With Diabetic Kidney Disease With Traditional Chinese Medicine Physician Visits, Wanling Zeng, Hong Chang Tan, Huang Fang Zheng, Amanda Rui Lin Lam, Kok Keong Teo, Chieh Suai Tan, Jean Paul Kovalik, Sujoy Ghosh, Xiao Hui Xin Dec 2022

Satisfaction Of Patients With Diabetic Kidney Disease With Traditional Chinese Medicine Physician Visits, Wanling Zeng, Hong Chang Tan, Huang Fang Zheng, Amanda Rui Lin Lam, Kok Keong Teo, Chieh Suai Tan, Jean Paul Kovalik, Sujoy Ghosh, Xiao Hui Xin

Division of Basic Science Faculty Publications

Background: Patient-centred care is an important part of quality healthcare and patient satisfaction has been shown to be associated with improved clinical outcomes. We aim to explore the satisfaction of patients with diabetic kidney disease (DKD) with their visits to the TCM physician and its association with patients' socio-economic characteristics. Methods: A questionnaire survey was conducted among patients aged >21 years with DKD. Participants' demographic, socioeconomic characteristics and satisfaction scores measured with the self-administered Medical Interview Satisfaction Scale (MISS) were collected after they visited the TCM physician. MISS is a 26-item questionnaire consisting of three domains – cognitive, affective and …

Go to article

Interindividual Differences In Trainability And Moderators Of Cardiorespiratory Fitness, Waist Circumference, And Body Mass Responses: A Large-Scale Individual Participant Data Meta-Analysis, Jacob T. Bonafiglia, Paul A. Swinton, Robert Ross, Neil M. Johannsen, Corby K. Martin, Timothy S. Church, Cris A. Slentz, Leanna M. Ross, William E. Kraus, Jeremy J. Walsh, Glen P. Kenny, Gary S. Goldfield, Denis Prud’Homme, Ronald J. Sigal, Conrad P. Earnest, Brendon J. Gurd Dec 2022

Interindividual Differences In Trainability And Moderators Of Cardiorespiratory Fitness, Waist Circumference, And Body Mass Responses: A Large-Scale Individual Participant Data Meta-Analysis, Jacob T. Bonafiglia, Paul A. Swinton, Robert Ross, Neil M. Johannsen, Corby K. Martin, Timothy S. Church, Cris A. Slentz, Leanna M. Ross, William E. Kraus, Jeremy J. Walsh, Glen P. Kenny, Gary S. Goldfield, Denis Prud’Homme, Ronald J. Sigal, Conrad P. Earnest, Brendon J. Gurd

Clinical Research Faculty Publications

Although many studies have assumed variability reflects variance caused by exercise training, few studies have examined whether interindividual differences in trainability are present following exercise training. The present individual participant data (IPD) meta-analysis sought to: (1) investigate the presence of interindividual differences in trainability for cardiorespiratory fitness (CRF), waist circumference, and body mass; and (2) examine the influence of exercise training and potential moderators on the probability that an individual will experience clinically important differences. The IPD meta-analysis combined data from 1879 participants from eight previously published randomized controlled trials. We implemented a Bayesian framework to: (1) test the hypothesis …

Go to article

Study In Parkinson’S Disease Of Exercise Phase 3 (Sparx3): Study Protocol For A Randomized Controlled Trial, Charity G. Patterson, Elizabeth Joslin, Alexandra B. Gil, Wendy Spigle, Todd Nemet, Lana Chahine, Cory L. Christiansen, Ed Melanson, Wendy M. Kohrt, Martina Mancini, Deborah Josbeno, Katherine Balfany, Garett Griffith, Mac Kenzie Dunlap, Guillaume Lamotte, Erin Suttman, Danielle Larson, Chantale Branson, Kathleen E. Mckee, Li Goelz, Cynthia Poon, Barbara Tilley, Un Jung Kang, Malú Gámez Tansey, Nijee Luthra, Caroline M. Tanner, Jacob M. Haus, Giamila Fantuzzi, Nikolaus R. Mcfarland, Paulina Gonzalez-Latapi, Tatiana Foroud, Robert Motl, Michael A. Schwarzschild, Tanya Simuni Dec 2022

Study In Parkinson’S Disease Of Exercise Phase 3 (Sparx3): Study Protocol For A Randomized Controlled Trial, Charity G. Patterson, Elizabeth Joslin, Alexandra B. Gil, Wendy Spigle, Todd Nemet, Lana Chahine, Cory L. Christiansen, Ed Melanson, Wendy M. Kohrt, Martina Mancini, Deborah Josbeno, Katherine Balfany, Garett Griffith, Mac Kenzie Dunlap, Guillaume Lamotte, Erin Suttman, Danielle Larson, Chantale Branson, Kathleen E. Mckee, Li Goelz, Cynthia Poon, Barbara Tilley, Un Jung Kang, Malú Gámez Tansey, Nijee Luthra, Caroline M. Tanner, Jacob M. Haus, Giamila Fantuzzi, Nikolaus R. Mcfarland, Paulina Gonzalez-Latapi, Tatiana Foroud, Robert Motl, Michael A. Schwarzschild, Tanya Simuni

Clinical Research Faculty Publications

Background: To date, no medication has slowed the progression of Parkinson’s disease (PD). Preclinical, epidemiological, and experimental data on humans all support many benefits of endurance exercise among persons with PD. The key question is whether there is a definitive additional benefit of exercising at high intensity, in terms of slowing disease progression, beyond the well-documented benefit of endurance training on a treadmill for fitness, gait, and functional mobility. This study will determine the efficacy of high-intensity endurance exercise as first-line therapy for persons diagnosed with PD within 3 years, and untreated with symptomatic therapy at baseline. Methods: This is …

Go to article

Author Correction: Novel Mode Of Defective Neural Tube Closure In The Non-Obese Diabetic (Nod) Mouse Strain (Scientific Reports, (2015), 5, 1, (16917), 10.1038/Srep16917), J. Michael Salbaum, Claudia Kruger, Jacalyn Macgowan, Nils J. Herion, David Burk, Claudia Kappen Dec 2022

Author Correction: Novel Mode Of Defective Neural Tube Closure In The Non-Obese Diabetic (Nod) Mouse Strain (Scientific Reports, (2015), 5, 1, (16917), 10.1038/Srep16917), J. Michael Salbaum, Claudia Kruger, Jacalyn Macgowan, Nils J. Herion, David Burk, Claudia Kappen

Division of Basic Science Faculty Publications

The Supplementary Information file published with this Article is incomplete, where the supplementary figures and tables are omitted. The correct Supplementary Information file is now linked to this correction notice.

Go to article

Predicting Energy Intake In Adults Who Are Dieting And Exercising, Corey Gerving, Robert Lasater, James Starling, Danielle M. Ostendorf, Leanne M. Redman, Chad Estabrooks, Kevin Cummiskey, Vincent Antonetti, Diana M. Thomas Dec 2022

Predicting Energy Intake In Adults Who Are Dieting And Exercising, Corey Gerving, Robert Lasater, James Starling, Danielle M. Ostendorf, Leanne M. Redman, Chad Estabrooks, Kevin Cummiskey, Vincent Antonetti, Diana M. Thomas

Clinical Research Faculty Publications

Background: When a lifestyle intervention combines caloric restriction and increased physical activity energy expenditure (PAEE), there are two components of energy balance, energy intake (EI) and physical activity energy expenditure (PAEE), that are routinely misreported and expensive to measure. Energy balance models have successfully predicted EI if PAEE is known. Estimating EI from an energy balance model when PAEE is not known remains an open question. Objective: The objective was to evaluate the performance of an energy balance differential equation model to predict EI in an intervention that includes both calorie restriction and increases in PAEE. Design: The Antonetti energy …

Go to article

The Trend Of Disruption In The Functional Brain Network Topology Of Alzheimer’S Disease, Alireza Fathian, Yousef Jamali, Mohammad Reza Raoufy, Michael W. Weiner, Norbert Schuf, Howard J. Rosen, Bruce L. Miller, Thomas Neylan, Jacqueline Hayes, Shannon Finley, Paul Aisen, Zaven Khachaturian, Ronald G. Thomas, Michael Donohue, Sarah Walter, Devon Gessert, Tamie Sather, Gus Jiminez, Leon Thal, James Brewer, Helen Vanderswag, Adam Fleisher, Melissa Davis, Rosemary Morrison, Ronald Petersen, Cliford R. Jack, Matthew Bernstein, Bret Borowski, Jef Gunter, Matt Senjem, Prashanthi Vemuri, David Jones, Kejal Kantarci, Chad Ward Dec 2022

The Trend Of Disruption In The Functional Brain Network Topology Of Alzheimer’S Disease, Alireza Fathian, Yousef Jamali, Mohammad Reza Raoufy, Michael W. Weiner, Norbert Schuf, Howard J. Rosen, Bruce L. Miller, Thomas Neylan, Jacqueline Hayes, Shannon Finley, Paul Aisen, Zaven Khachaturian, Ronald G. Thomas, Michael Donohue, Sarah Walter, Devon Gessert, Tamie Sather, Gus Jiminez, Leon Thal, James Brewer, Helen Vanderswag, Adam Fleisher, Melissa Davis, Rosemary Morrison, Ronald Petersen, Cliford R. Jack, Matthew Bernstein, Bret Borowski, Jef Gunter, Matt Senjem, Prashanthi Vemuri, David Jones, Kejal Kantarci, Chad Ward

Clinical Research Faculty Publications

Alzheimer’s disease (AD) is a progressive disorder associated with cognitive dysfunction that alters the brain’s functional connectivity. Assessing these alterations has become a topic of increasing interest. However, a few studies have examined different stages of AD from a complex network perspective that cover different topological scales. This study used resting state fMRI data to analyze the trend of functional connectivity alterations from a cognitively normal (CN) state through early and late mild cognitive impairment (EMCI and LMCI) and to Alzheimer’s disease. The analyses had been done at the local (hubs and activated links and areas), meso (clustering, assortativity, and …

Go to article

First Prev Next Last