Digital Commons Network^™

Increased Virus Dissemination Leads To Enhanced Lung Injury But Not Inflammation During Influenza-Associated Secondary Bacterial Infection, Amanda P Smith, Lindey C Lane, Ivan Ramirez Zuniga, David M Moquin, Peter Vogel, Amber M Smith

2020-Current year OA Pubs

Secondary bacterial infections increase influenza-related morbidity and mortality, particularly if acquired after 5-7 d from the viral onset. Synergistic host responses and direct pathogen-pathogen interactions are thought to lead to a state of hyperinflammation, but the kinetics of the lung pathology have not yet been detailed, and identifying the contribution of different mechanisms to disease is difficult because these may change over time. To address this gap, we examined host-pathogen and lung pathology dynamics following a secondary bacterial infection initiated at different time points after influenza within a murine model. We then used a mathematical approach to quantify the increased …

Sustainability Of Breastfeeding Interventions To Reduce Child Mortality Rates In Low, Middle-Income Countries: A Systematic Review Of Randomized Controlled Trials, Alexis Engelhart, Stacey Mason, Ucheoma Nwaozuru, Chisom Obiezu-Umeh, Victoria Carter, Thembekile Shato, Titilola Gbaja-Biamila, David Oladele, Juliet Iwelunmor

2020-Current year OA Pubs

Child mortality is the lowest it has ever been, but the burden of death in low- and middle-income countries (LMICs) is still prevalent, and the numbers average above the global mean. Breastfeeding contributes to the reduction of child mortality by improving chance of survival beyond childhood. Therefore, it is essential to examine how evidence-based breastfeeding interventions are being maintained in resource-constrained settings. Guided by Scheirer and Dearing's sustainability framework, the aim of this systematic review was to explore how evidence-based breastfeeding interventions implemented to address child mortality in LMICs are sustained. The literature search included randomized controlled trials (RCTs) of …

Job-Exposure Matrix: A Useful Tool For Incorporating Workplace Exposure Data Into Population Health Research And Practice, Alexis Descatha, Marc Fadel, Grace Sembajwe, Susan Peters, Bradley A Evanoff

2020-Current year OA Pubs

Workplace exposures to physical, chemical, and psychosocial factors account for a large burden of chronic diseases. Obtaining useful estimates of current and past workplace exposures is challenging, particularly in large general population studies. Job-exposure matrices (JEMs) are a useful tool for exposure assessment, particularly when no individual level exposure data are available. A JEM provides a cross-tabulation of job titles (sometimes combined with industry) and estimated exposures to workers carrying out these jobs during different time periods. The major limitation of JEMs is that they do not account for individual variation in exposures within the same job. This limitation is …

Preclinical Antibody-Pet Imaging Of Pd-L1, Emma L Brown, Rachel A Deweerd, Abbey Zidel, Patricia M R Pereira

2020-Current year OA Pubs

Programmed cell death protein-1/ligand-1 (PD-1/PD-L1) blockade, including antibody therapeutics, has transformed cancer treatment. However, a major challenge in the field relates to selecting patients who are likely to respond to immune checkpoint inhibitors. Indeed, biopsy-based diagnostic tests to determine immune checkpoint protein levels do not accurately capture the inherent spatial and temporal heterogeneity of PD-L1 tumor expression. As a result, not all PD-L1-positive tumors respond to immunotherapies, and some patients with PD-L1-negative tumors have shown clinical benefits. In 2018, a first-in-human study of the clinically-approved anti-PD-L1 antibody Atezolizumab labeled with the positron emitter zirconium-89 validated the ability of positron emission …

Polypill For Atherosclerotic Cardiovascular Disease Prevention In Haiti: Eligibility Estimates In A Low-Income Country, Lily D Yan, Vanessa Rouzier, Jean Lookens Pierre, Eliezer Dade, Rodney Sufra, Mark D Huffman, Alexandra Apollon, Stephano St Preux, Miranda Metz, Shalom Sabwa, Béatrice Morisset, Marie Deschamps, Jean W Pape, Margaret L Mcnairy

2020-Current year OA Pubs

BACKGROUND: Multidrug therapy is a World Health Organization "best buy" for the prevention and control of noncommunicable diseases. CVD polypills, including ≥2 blood pressure medications, and a statin with or without aspirin, are an effective, scalable strategy to close the treatment gap that exists in many low- and middle-income countries, including Haiti. We estimated the number of Haitian adults eligible for an atherosclerotic CVD (ASCVD) polypill, and the number of potentially preventable CVD events if polypills were implemented nationally.

METHODS: We used cross-sectional data from the Haiti CVD Cohort, a population-based cohort of 3,005 adults ≥18 years in Port-au-Prince, to …

Fentanyl Exposure In Preterm Infants: Five-Year Neurodevelopmental And Socioemotional Assessment, Kimberly P Mills, Rachel E Lean, Christopher D Smyser, Terrie Inder, Cynthia Rogers, Christopher C Mcpherson

2020-Current year OA Pubs

OBJECTIVE: To evaluate the association between cumulative fentanyl dose during neonatal intensive care and 5-year neurodevelopmental and socioemotional outcomes in very preterm infants.

MATERIALS AND METHODS: Patient demographics and clinical factors during the perinatal and neonatal course were collected in 84 patients born between 23- and 30-weeks gestational age (GA). Cumulative fentanyl dose during neonatal intensive care was calculated. Developmental testing at age 5 years included the Wechsler Preschool and Primary Scale of Intelligence Full-Scale Intelligence Quotient, Third Edition, Clinical Evaluation of Language Fundamentals-Preschool, Second Edition, Movement Assessment Battery for Children, Second Edition (MABC-2), and Shape School Assessment. Socioemotional outcomes …

Assessing The Sustainability Capacity Of Evidence-Based Programs In Community And Health Settings, Caren Bacon, Sara Malone, Kim Prewitt, Rachel Hackett, Molly Hastings, Sarah Dexter, Douglas A Luke

2020-Current year OA Pubs

BACKGROUND: Within many public health settings, there remain large challenges to sustaining evidence-based practices. The Program Sustainability Assessment Tool has been developed and validated to measure sustainability capacity of public health, social service, and educational programs. This paper describes how this tool was utilized between January 2014 and January 2019. We describe characteristics of programs that are associated with increased capacity for sustainability and ultimately describe the utility of the PSAT in sustainability research and practice.

METHODS: The PSAT is comprised of 8 subscales, measuring sustainability capacity in eight distinct conceptual domains. Each subscale is made up of five items, …

Conceptual Tensions And Practical Trade-Offs In Tailoring Implementation Interventions, Sheena M Mchugh, Fiona Riordan, Geoff M Curran, Cara C Lewis, Luke Wolfenden, Justin Presseau, Rebecca Lengnick-Hall, Byron J Powell

2020-Current year OA Pubs

Tailored interventions have been shown to be effective and tailoring is a popular process with intuitive appeal for researchers and practitioners. However, the concept and process are ill-defined in implementation science. Descriptions of how tailoring has been applied in practice are often absent or insufficient in detail. This lack of transparency makes it difficult to synthesize and replicate efforts. It also hides the trade-offs for researchers and practitioners that are inherent in the process. In this article we juxtapose the growing prominence of tailoring with four key questions surrounding the process. Specifically, we ask: (1) what constitutes tailoring and when …

Transient Equilibrium Determination Of Dopamine D2/D3 Receptor Densities And Affinities In Brain, Jenny-Ann Phan, Dean F Wong, Natalie H S Chang, Yoshitaka Kumakura, William R Bauer, Albert Gjedde

2020-Current year OA Pubs

Long-term alteration of dopaminergic neurotransmission is known to modulate the D

The Human Myocardium Harbors A Population Of Naive B-Cells With A Distinctive Gene Expression Signature Conserved Across Species, Kevin C Bermea, Nicolas Kostelecky, Sylvie T Rousseau, Chieh-Yu Lin, Luigi Adamo

2020-Current year OA Pubs

INTRODUCTION: Cardiac immunology studies in murine models have identified a sizeable population of myocardial B-cells and have shown that its modulation represents a promising strategy to develop novel therapies for heart failure. However, scarce data on B-cells in the human heart leaves unclear whether findings in rodents are relevant to human biology.

METHODS: We performed immunohistochemical stains to characterize the amount and distribution of B-cells in human hearts, analyzing both fresh and post-mortem tissue. To gain insight into the biology of human myocardial B-cells we analyzed publicly-available spatial transcriptomics and single-cell sequencing datasets of myocardial and peripheral blood mononuclear cells …

2022 Spring Commencement, Georgia Southern University

Commencement Programs

No abstract provided.

2022 Fall Commencement, Georgia Southern University

Commencement Programs

No abstract provided.

Risk Based Day-Ahead Energy Resource Management With Renewables Via Computational Intelligence, Pratik Mochi, Kartik S. Pandya, Dharmesh Dabhi, Vipul N. Rajput

Research Outputs: 2025-Present

An indeterminate and variable nature of renewable energy sources like solar photovoltaic, wind power, load consumption, electric vehicles trips and market spot prices, make the operation and control of energy management system quite complex. Also, it is expected that the system should be consistent and resilient in case of extreme events like faults, hurricanes etc. This paper has used the risk based optimization strategies considering uncertainty of aforementioned parameters to minimize the operational cost of the aggregator. A 13-bus practical distribution system with 15-scenarios (03-scenarios as extreme events with high impact) are considered as a test system. WCCI-2018 award winning, …

Hybrid Approach Integrated With Gaussian Process Regression For Condition Monitoring Strategies At The Rotor Side Of A Doubly-Fed Induction Generator, Shuo Zhang, Emma Robinson, Malabika Basu

Research Outputs: 2025-Present

Regression-based Machine Learning (ML) approaches are mainly applied to fit the power curve for the performance evaluation of wind turbines (WTs). Although a fitted power curve is prevalent and straightforward for anomaly detection, it is difficult to identify the fault types at the rotor side of a WT, particularly, because the operation can be dependent on multiple parameters. The present paper suggests an interesting approach towards condition monitoring (CM) and fault diagnosis of a DFIG by only processing rotor currents through several signal processing techniques to recognize and localize miscellaneous electrical disturbances. A non-parametric regression approach, Gaussian process regression (GPR), …

Advance (Spring 2022), Georgia Southern Division Of Continuing And Professional Education

Division of Continuing & Professional Education

No abstract provided.

The Cost Implication Of Green Building Materials In The Sustainable Government Green Building Constructions / Maizali Halil Ghazali, Ghazali Maizali Halil

Student Works (2020-2029)

The procurement of work in the public sector that consider environmental criteria to reduce the detrimental consequences of human activity and to protect the environment and natural resources, are referred to government green building construction projects. It entails boosting the efficiency of government building construction projects while also utilizing the public market's potential to change the Malaysian economy into a green economy. As Malaysia's largest technical department, the Public Works Department (JKR) currently lacks cost data that includes green products utilized in JKR projects with green project status. The study's objective was to look into green building issues, assess the …

Development And Validation Of Heptaplex Polymerase Chain Reaction Assay For The Discriminatory Detection Of Selected Meats In Food Products / Syed Muhammad Kamal Uddin, Kamal Uddin Syed Muhammad

Student Works (2020-2029)

Food fraud is one of the most prevalent problems of the present day. It is important for consumers to ascertain the authenticity of the declared ingredients in food products. Beef, buffalo, goat, sheep, chicken, duck, and pork are the heavily consumed meats having enormous importance from nutritional, economic, and cultural/religious viewpoints and are often found to be mutually adulterated in raw and processed states. Available DNA-based approaches for species authentication are commonly based on long DNA markers that can be damaged during food processing, rendering the methods less reliable. The objective of the project is to develop a heptaplex Polymerase …