Life Sciences Commons^™

Eco-Interoception: What Plants, Fungi And Protista Have Taught My Body, Sara Riley Dotterer

Art Theses and Dissertations

To me, ecology is the relational, full-body awareness that I am made up of and deeply connected to everything around me; and for better or worse, this is reciprocal. I form ecotones, an ecological transitional zone between two ecosystems, with the world around me. I use this ecotonal lens to blur binaries and dissolve boundaries between me and the world “outside my body.” During my Masters of Fine Arts at Southern Methodist University, I have continuously explored and represented the lives of various more-than-human species outside of my body, including plants, fungi and protista through an ecotonal lens. Although these …

Making Forests, Making Communities: An Ethnography Of Reforestation In Monteverde, Costa Rica, Megan Brown

Anthropology Theses and Dissertations

Reforestation is not just planting trees in the ground. More than net increase in forest cover, reforestation is a complex political endeavor undertaken by both humans and non-humans and a popular climate change mitigation tactic. However, little research has examined the dynamics between selection of specific reforestation strategies, health, and community resilience, particularly with attention to entanglements between the lives of both human and non-human forest dwellers. This ethnographic work, based on six months of in-person fieldwork and six months of digital ethnography, examines reforestation and forest relations in Costa Rica’s Monte Verde zone, a region which experienced widespread deforestation, …

Clinical Diagnosis Support With Convolutional Neural Network By Transfer Learning, Spencer Fogleman, Jeremy Otsap, Sangrae Cho

SMU Data Science Review

Breast cancer is prevalent among women in the United States. Breast cancer screening is standard but requires a radiologist to review screening images to make a diagnosis. Diagnosis through the traditional screening method of mammography currently has an accuracy of about 78% for women of all ages and demographics. A more recent and precise technique called Digital Breast Tomosynthesis (DBT) has shown to be more promising but is less well studied. A machine learning model trained on DBT images has the potential to increase the success of identifying breast cancer and reduce the time it takes to diagnose a patient, …

Application Of Artificial Intelligence And Machine Learning In Chemistry, Niraj Verma

Chemistry Theses and Dissertations

In the last four years, I have been exposed to various topics in scientific research under the supervision of Dr. Kraka in the CATCO group. Numerous involved chemistry projects were undertaken to gain an understanding of the basic laws of nature involving vibrational spectroscopy, molecular acidity, and catalysts based on transition metals for halogen chemistry. The insights from computational chemistry were then applied to model and predict various complicated problems in chemistry via artificial intelligence. With the help of classical artificial intelligence, the non-covalent interactions governing the properties of proteins and water properties were analyzed. Significant improvements were made in …

Stationary Exercise Classification Using Imus And Deep Learning, Andrew M. Heroy, Zackary Gill, Samantha Sprague, David Stroud, John Santerre

SMU Data Science Review

In the current market, successful fitness tracking devices utilize heart rate and GPS to determine performance. These devices are useful, but don't extensively classify stationary exercise. This paper proposes a modern approach for tuning and investigating optimal neural network types on stationary exercises using Inertial Measurement Units (IMUs). Using three IMUs located on the ankle, waist, and wrist, data is collected to map the body as it moves during the stationary physical activity. A novel five-stage deep learning tuning system was written and deployed to classify user movement as one of three classes: air squats, jumping jacks, and kettlebell swings. …

Reversal Of P-Glycoprotein And Breast Cancer Resistance Protein Mediated Multidrug Resistance In Vitro Using In Silico Identified Novel Compounds, Amila Nanayakkara

Biological Sciences Theses and Dissertations

Multidrug resistance (MDR) is a major cause of chemotherapy failure. Overexpression of ATP-binding cassette (ABC) transporters, P-glycoprotein (P-gp) and breast cancer resistance protein (BCRP) are two well-studied drug transporters which are associated with MDR. These two transporters also act as a major functional unit of the blood brain barrier to protect the brain from xenobiotics and toxins. Lack of clinically approved P-gp and BCRP inhibitors renders chemotherapy treatments of many MDR cancers ineffective and obstructs drug uptake into the brain.

Using computational methods, we have identified new compounds that inhibit P-gp (Brewer et al., Mol. Pharmacol. 2014). Several of …

Thermoregulatory Dysfunction In Multiple Sclerosis, Dustin R. Allen

Applied Physiology and Wellness Theses and Dissertations

Multiple sclerosis (MS) is a progressive neurological disease of the central nervous system (CNS) affecting an estimated 2.3 million people worldwide. Marked by lesions in the brain and spinal cord, MS leads to conduction abnormalities in the CNS. Evidence suggests ~60% of individuals with MS experience temporary worsening of their symptoms upon exposure to heat. Adding complexity, observational evidence suggests these individuals exhibit reduced thermoregulatory responses in upon increases in core temperature. Consequently, these individuals face a vicious cycle of heat sensitivity and thermoregulatory dysfunction, substantially impacting their quality of life. With this in mind, our lab is dedicated to …

Recipe For Life - Health Awareness, Courtney Thrower

Collection of Engaged Learning

The design of this project was two-fold; the research component included examination of data from a previous investigation and compared it with data collected in a community service project. In each, the aim was to assess the health habits of underserved Spanish communities and provide information and opportunity for engagement with health education. Data were collected from voluntary participants in Panama and West Dallas. The purpose of the investigation was to learn more about perceptions of health habits and provide hands-on learning regarding what it means to be healthy and practice a wellness lifestyle. Specifically, to help participants in underserved …