Life Sciences Commons^™

Online Class-Incremental Learning For Real-World Food Image Classification, Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu

Graduate Industrial Research Symposium

Food image classification is essential for monitoring health and tracking dietary in image-based dietary assessment methods. However, conventional systems often rely on static datasets with fixed classes and uniform distribution. In contrast, real-world food consumption patterns, shaped by cultural, economic, and personal influences, involve dynamic and evolving data. Thus, it requires the classification system to cope with continuously evolving data. Online Class Incremental Learning (OCIL) addresses the challenge of learning continuously from a single-pass data stream while adapting to the new knowledge and reducing catastrophic forgetting. Experience Replay (ER) based OCIL methods store a small portion of previous data and …

Autonomous Roadside Mower Testing And Evaluation In Digital Twin Environments, Michael Mardikes, Ethan Brown, Timothy Wiegman, Nathan Sprague, Shreyas Supe, J. T. Evans

Graduate Industrial Research Symposium

Modern day roadside mowing operations in Indiana are performed by contractors operating tractors that pull flex-wing mowers. These mowing operations span over 11,000 miles of road across the state and create serious risk for human operators. Autonomous mowers can provide a safer alternative, but a replacement system must demonstrate an acceptable level of trust before large-scale deployment. A high-fidelity digital-twin environment can facilitate the capability to rapidly test and evaluate platforms in their desired application, while enabling zero real-world risk, a wide range of test variables, and repeatability of a test setup. The simulation environment must be at a level …

Measurement And Imaging Of Intra Matrix Igg Diffusion, Riya Debbarma, Antonio C. F. Dos Santos, Diana Milena Ramiez Gutierrez, Fernanda M. Da Cunha, Michael Ladisch

Graduate Industrial Research Symposium

Bovine IgG diffusion measurement by tracking the movement of the protein over time in an in-vitro matrix is motivated by the large number of protein/peptide therapeutics currently under various stages of development in the pharmaceutical industry. Many of these therapeutics are monoclonal antibodies (IgG type proteins) that are candidates for subcutaneous, intra-vitreous and intra-articular administration depending on the target of the therapeutic. Hyaluronic acid (HA) is a major constituent and determines the key attributes of the subcutaneous environment, vitreous humor of the eye and synovial fluid of the knee joint. HA exhibits varying molecular weight at these anatomic locations thereby …

Geospatial Analysis Of Agricultural Potential In The United States, Diana Febrita

Graduate Industrial Research Symposium

Traditionally, the agriculture sector is responsible for providing food and crop products. However, the role of agriculture has expanded beyond its traditional function. It is the main sector that contributes to the provision of food, income, employment, environmental protection, and local economic development. Reflecting on the roles of agriculture, understanding the potential of agriculture in the United States is crucial to discovering the prospects and challenges. This study will briefly discuss the agricultural potential in the United States based on the five assets, including natural capital, financial capital, human capital, physical capital, and social capital. To identify the states with …

A Machine Learning Model Of Perturb-Seq Data For Use In Space Flight Gene Expression Profile Analysis, Liam F. Johnson, James Casaletto, Lauren Sanders, Sylvain Costes

Graduate Industrial Research Symposium

The genetic perturbations caused by spaceflight on biological systems tend to have a system-wide effect which is often difficult to deconvolute it into individual signals with specific points of origin. Single cell multi-omic data can provide a profile of the perturbational effects, but does not necessarily indicate the initial point of interference within the network. The objective of this project is to take advantage of large scale and genome-wide perturbational datasets by using them to train a tuned machine learning model that is capable of predicting the effects of unseen perturbations in new data. Perturb-Seq datasets are large libraries of …

Mushrooom Production Without Solid Substrates, Alexander Baena, Marshall Porterfield

Graduate Industrial Research Symposium

Novel biotechnological approaches are needed to enhance renewable food production and waste recycling capabilities in resource-constrained environments. Edible mushrooms possess nutritious profiles and represent emerging opportunities to develop circular bioproduction by transforming waste organic materials into food and high-value products. However, traditional mushroom cultivation methods utilizing solid substrates have technical limitations like 1) uneven nutrient diffusion, 2) constant sterilization needs, 3) numerous intermediate steps that are energy and time-demanding, and 4) waste production from bags and jars. This work introduces an innovative hydroponic fungal cultivation system called Mycoponics™ using bioengineered ceramic materials. This liquid-nutrient-based technique optimizes fungal metabolism and facilitates …

Modelling The "Bottom-Up" Development Pattern Of Tar Spot Disease In Corn, Brenden Lane, Joaquín Guillermo Ramírez-Gil, Carlos Góngora-Canul, Mariela Sofia Fernandez Campos, Andres Cruz-Sancan, Fidel E. Jiménez-Beitia, Alex G. Acosta-Guatemal, Wily Sic, C. D. Cruz

Graduate Industrial Research Symposium

In 2015, the corn-infecting pathogen Phyllachora maydis (causal agent of tar spot disease) was reported for the first time in the United States. The disease has since spread across the US, causing major yield losses. In 2021 alone, 5.88 million metric tons (231.3 million bushels) of US corn yield were lost to this disease, costing an estimated US$1.25 billion. Though fungicides can protect against these agroeconomic losses, application timing can be difficult to optimize because our understanding of tar spot dynamics is still evolving. The current view is that tar spot typically develops bottom-up through a repeating infection cycle. Because …

Evaluating The Environmental Impacts Of U.S. Historical Oil Spill Incidents, Yiming Liu, Hua Cai

Graduate Industrial Research Symposium

Exposure to risks associated with the production and usage of products, particularly oil, poses significant threats to both ecological systems and human health. Notable examples include the Gulf War Oil Spill (1991) and the Deepwater Horizon Oil Spill (2010). However, numerous smaller-scale oil spills, which collectively contribute to substantial oil releases, often remain overlooked. To fill this gap, our study first developed a detailed oil spill incidents database, covering 1967 to 2023. We quantified the released amount (RA) of oil spills recorded by the National Oceanic and Atmospheric Administration (NOAA). Subsequently, we utilized life cycle impact indicators in ReCiPe to …

Co-Crystallization Of Urea Granules For Slower Dissolution, Vidya Nagaraju, Carl Wassgren, Kingsly Ambrose

Graduate Industrial Research Symposium

Co-crystals are multicomponent crystals formed through hydrogen bond interactions. Co-crystallization, the process of developing cocrystals, serves as a versatile approach for discovering new solid forms of active ingredients (AIs) that can alter physical properties such as solubility, dissolution rates, and stability. These co-crystals can be produced through three main methods: solid-state methods, solution-based methods, and supercritical fluid methods. Recently, the solid-state (mechanochemical) method of developing cocrystals has gained more attention from researchers in the development of slow-release urea fertilizers. This technique can also be applied to the development of urease inhibitors. These multicomponent crystals present a potential solution to the …

Enzyme-Treated Yeast Fed To Coccidia-Challenged Broiler Chickens, Emmanuel O. Alagbe, Hagen Schulze, Olayiwola Adeola

Graduate Industrial Research Symposium

There is a growing search for natural feed additives to alleviate the deleterious effects of coccidia infection in poultry. Research has shown that may serve as healthier alternatives to coccidiostats.

This study aimed to investigate the effect of enzyme-treated yeast (EY) on the performance, nutrient digestibility, intestinal morphology, and health of coccidia-challenged broiler chickens. 480 broiler chickens were allocated to 3 corn-soybean meal-based experimental diets with increasing concentrations of EY (0, 1, or 2 g/kg). Dietary EY enhanced nutrient utilization and augmented intestinal development in broiler chickens. However, dietary EY did not completely attenuate the adverse effects of a coccidia …

Identifying Non-Traditional Slippery Sequences Associated With Translational Frameshifts, Aaron J. Gin, Kari Lynn Clase

Graduate Industrial Research Symposium

Genetic frameshifts are a mutation in which
a nucleotide skip leads to a shift in the
reading frame. In viruses, these frameshifts
can be programmed using a slippery
sequence to bypass the stop codon
associated with the initial protein. This
allows for variable control of protein
expression. In bacteriophages, translational
frameshifts have been identified but only a
few have been proven experimentally. Using
experimental data and comparative
genomics, non-traditional slippery
sequences can be identified as assisting in
controlling the protein coding throughout
viruses. Novel slippery sequences can aid in
the understanding of protein expression in
biological environments and further the …

The Next-Gen Crop Nutrient Stress Identification With High-Precision Sensing Technology In Digital Agriculture, Zhihang Song, Ziling Chen, Xing Wei, Jian Jin

Graduate Industrial Research Symposium

Crop yields are facing significant losses from nutrient deficiencies. Over-fertilizing also has negative economic and environmental impacts. It is challenging to optimize fertilizing without an accurate diagnosis. Recently, plant phenotyping has demonstrated outstanding capabilities in estimating crop traits. As one of the leading technologies, LeafSpec, provides high-quality crop image data for improving phenotyping quality. In this study, novel algorithms are developed for LeafSpec to identify crop nutrient deficiencies more accurately. Combined with UAV system, this technology will bring growers a robust solution for fertilizing diagnosis and scientific crop management.

Nucleic Acid Detection Of Live Pathogens On Contaminated Foods, Simerdeep Kaur, Mohit Verma

Graduate Industrial Research Symposium

The goal is to develop a point-of-care biosensor for the detection of live pathogens contaminating beef products. Biosensing of live pathogens is based on isothermal amplification of nucleic acid on a paper-based device. A colorimetric dye is employed as an indicator of the amplification product for visual result. The assay incorporates a compound Propidium monoazide (PMA) that makes the DNA from dead cells inaccessible for amplification. This approach is especially applicable for pathogens that can enter a viable but non-culturable state (VBNC).

Sea-Phages Course-Based Undergraduate Research Experience For Creating A Biotechnology Workforce Development Pipeline, Daphne Fauber, Kari Clase, Carol Weaver

Graduate Industrial Research Symposium

Purdue University has been a member of the SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science) program since 2011. This program, created in conjunction with the Howard Hughes Medical Institute (HHMI), facilitates undergraduate curriculum for the authentic discovery of novel bacteriophages within the classroom. Since joining the program, undergraduates at Purdue have harnessed wet lab and bioinformatics principles to contribute over 200 previously uncharacterized bacteriophages and 25 novel genomes to the wider scientific literature. The SEA-PHAGES classes at Purdue have resulted in tangible professional deliverables for students through conference presentations and publications. Student outcomes also include transferable skills …

Fish Farming Wastewater Treatment Using Algae-Cyanobacterial Inocula, Yolanys Aranda

Graduate Industrial Research Symposium

Fish is one of the most important nutrient sources of the human diet, and its low-cost aquaculture production is advantageous. During processing, large quantities of organic and inorganic nutrients are produced. Discharging fish farming wastewater to the environment without proper treatment can support harmful algal growth. Therefore, aquaculture effluent must be treated prior to discharge to the receiving waters. In this study, six different cyanobacteria and algae species, including Chlorococcumminutum, Porphyridiumcruentum, Chlorella vulgaris, Microcystis aeruginosa, Chlamydomonas reinhardtii, and Fischerellamuscicola were studiedto treatfish aquaculture wastewater, using mix-culture bacteria as the inoccolum. All samples were incubated for 21 days. Parameters such as …

Identifying Essential Genes For The Assembly And Function Of Tails In Novel Myoviridae Bacteriophages, Harry Ashbaugh, Kari Clase

Graduate Industrial Research Symposium

A bacteriophage is a virus that infects bacterial hosts. They are typically composed of a head, a tail, and fibers on the tail that allow it to attach to the bacterial membrane. Myoviridae are a family of bacteriophage that are distinct for their short, contractile tails that undergo conformational changes when they attach to bacteria, which are essential to inject its genetic material into the cell. The purpose of this research is to utilize genetic sequencing and comparative genomics to identify the genes that allow for the tail structure, conformation change, and attachment in novel Myoviridae bacteriophages. In characterizing these …