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Drug-Based Therapeutic Strategies For Covid-19-Infected Patients And Their Challenges, Khatereh Zarkesh, Elaheh Entezar-Almahdi, Parisa Ghasemiyeh, Mohsen Akbarian, Marzieh Bahmani, Shahrzad Roudaki, Rahil Fazlinejad, Soliman Mohammadi-Samani, Negar Firouzabadi, Majid Hosseini, Fatemeh Farjadian

Manufacturing & Industrial Engineering Faculty Publications and Presentations

Emerging epidemic-prone diseases have introduced numerous health and economic challenges in recent years. Given current knowledge of COVID-19, herd immunity through vaccines alone is unlikely. In addition, vaccination of the global population is an ongoing challenge. Besides, the questions regarding the prevalence and the timing of immunization are still under investigation. Therefore, medical treatment remains essential in the management of COVID-19. Herein, recent advances from beginning observations of COVID-19 outbreak to an understanding of the essential factors contributing to the spread and transmission of COVID-19 and its treatment are reviewed. Furthermore, an in-depth discussion on the epidemiological aspects, clinical symptoms …

Selective Disinfection Based On Directional Ultraviolet Irradiation And Artificial Intelligence, B. Zierdt, T. Shi, T. Degroat, S. Furman, N. Papas, Z. Smoot, Hong Zhang

Henry M. Rowan College of Engineering Faculty Scholarship

Ultraviolet disinfection has been proven to be effective for surface sanitation. Traditional ultraviolet disinfection systems generate omnidirectional radiation, which introduces safety concerns regarding human exposure. Large scale disinfection must be performed without humans present, which limits the time efficiency of disinfection. We propose and experimentally demonstrate a targeted ultraviolet disinfection system using a combination of robotics, lasers, and deep learning. The system uses a laser-galvo and a camera mounted on a two-axis gimbal running a custom deep learning algorithm. This allows ultraviolet radiation to be applied to any surface in the room where it is mounted, and the algorithm ensures …

An Improved Earned Value Management Method Integrating Quality And Safety, Brian Briggs

LSU Doctoral Dissertations

The construction industry invests significant time and money to improve quality and safety while reducing cost and schedule impacts. The industry has a sincere desire to improve construction project management methods to improve efficiency. Historically, quality and safety underperformances result from undermanaged quality control and safety activities. The cost and schedule impacts associated with poor quality work have always had an impact on construction operations. The unprecedented challenges and uncertainties of COVID-19 highlighted the need to improve the Earned Value Management (EVM) method within construction to reflect these quality and safety activities. The central goal of this dissertation is to …

Investigation Of Theoretical Scaling Laws Using Large Eddy Simulations For Airborne Spreading Of Viral Contagion From Sneezing And Coughing, K. Liu, M. Allahyari, J. Salinas, ‪Nadim Zgheib, S. Balachandar

Mechanical Engineering Faculty Publications and Presentations

Using a set of large eddy point-particle simulations, we explore the fluid dynamics of an ejected puff resulting from a cough/sneeze. The ejection contains over 61 000 potentially virus-laden droplets at an injection Reynolds number of about 46 000, comparable to an actual cough/sneeze. We observe that global puff properties, such as centroid, puff volume, momentum, and buoyancy vary little across realizations. Other properties, such as maximum extent, shape, and edge velocity of the puff, may exhibit substantial variation. In many realizations, a portion of the puff splits off and advances along a random direction, while keeping airborne droplet nuclei …

Laminar Flow Face Shield, Julia Carlson, Peter Hunt, Jomil Aquipel, Becky Lu

Mechanical Engineering

The scope of this project was to design a personal protective equipment (PPE) that protects the wearer from SARS-CoV-2 without inhibiting communication and was comfortable to wear for long periods of time. SARS-CoV-2, commonly known as COVID-19, is a contagious respiratory virus that spreads through droplets produced when someone who is infected by the virus coughs, sneezes, or talks. These droplets may land on the mouths or noses of nearby people or may be inhaled in the lungs, infecting those who come in contact with the virus. The current guidelines to help slow the spread of COVID-19 are to wear …

Mechanical Engineering News, Georgia Southern University

Mechanical Engineering News (2013-2023)

• Faculty and Students Mentor High School Design Competition

Covid-19 Impact To Family Food Consumption And Income In Uzbekistan: Results Of An Online Survey, Kh. Pardaev, Sh. Hasanov, S. Mamasoliev, Sh. Muratov, R. Kalandarov, U. Nurullaev

Irrigation and Melioration

This article aims to study the impact of the pandemic on food consumption by families in Uzbekistan. The shock of the pandemic is threatening the well-being of families in Uzbekistan, as in all developing countries. The study focuses on the effects of changes in food prices, declining consumption, and changes in household incomes. The Instrumental regression model was used in the factor impact analysis. Data for analysis were collected online by messenger groups from families in urban and rural areas of Uzbekistan. Results of the Econometric analysis demonstrated that the decline in food consumption in households was assessed by a …

Application Of Data And Geospatial Analysis In Energy And Health Systems, Ali Faghani

Graduate Research Theses & Dissertations

Having sustainable energy and health systems are the main factors in the vision plan of every country. Both of these systems are correlated with a variety of frameworks, including social, physical, technological, political, and economic factors. Therefore, different types of analytics methods can be implemented to develop the required assessments for those who make plans since understanding the effect of such factors individually, also their interactions, and the overall effect is crucial. With this regard, applications of data analysis and geospatial techniques in both energy, and health systems have recently gained attention. The proposed research here deployed advanced data analytics …