Using Characterization of Androgen-Dependent and Androgen-Independent Prostate Cancer Metabolic Differences to Help Illustrate our Changing Marine Ecosystems

College of Natural Resources & Sciences

Over the past summer, I worked as an intern at UCSF where I grew cell lines of PC3s (androgen independent) and LnCaps (androgen dependent) prostate cancer and performed biochemical assays to see the metabolic change from an androgen dependent to androgen independent cell. Theoretically you could use imaging such as hyper-polarized C13 imaging (a type of nuclear imaging) to see when the metabolic change happens instead of taking a biopsy which is very invasive to patients. By using the skills I learned and cellular metabolic change I hope to be able to apply this to my major by conducting further research on metabolic changes in marine organisms to help illustrate our changing ecosystems.

Using Deep Learning Models to Map Homeless Encampments in Eureka, CA

Nicholas Perdue, Department of Geography, Environment & Spatial Analysis Faculty

College of Arts, Humanities & Social Sciences

This project explores the use of deep learning models to map homeless encampments in Eureka, CA, with a particular focus on areas within flood zones that may potentially impact the coastal ecosystem of Humboldt Bay. The project critically examines the ethical implications of using artificial intelligence in this context, particularly with respect to the privacy and dignity of homeless individuals. The study balances technological advancements in geospatial data analysis with the need for responsible and humane applications of AI, ensuring that the potential environmental impacts of encampments are addressed without stigmatizing vulnerable communities.

Using Ecological Niche Models to Predict the Distribution of Plant Species Through the Use of Python Programming

College of Natural Resources & Sciences

Understanding the potential locations of where plant species will thrive is a fundamental necessity for resource managers who are concerned with controlling invasive species as well as promoting endangered ones. This study examines the credibility and usage of predicting ecological niche models developed through a Python program which uses in-situ data for counties within California (primarily climatic, elevation, and slope data). We tested its validity to predict the distribution of invasive species of plants by using an easily identifiable species known as Cortaderia selloana (Pampas Grass) with initial findings indicating an extremely high degree of success (well over 90% overlap).

Using eDNA to Detect Endangered Tidewater Goby, Eucyclogobius newberryi, in Northern California’s Lost Coast

Madison Richardson, Fisheries Biology Undergraduate Student

College of Natural Resources & Sciences

This research project focuses on detecting the presence or absence of endangered tidewater goby, Eucyclogobius newberryi, in the Lost Coast in Northern California using environmental DNA. If presence is detected, the Lost Coast can be sampled annually in order to gather enough data on the population to study their dynamics for any existence of extinction-colonization dynamics and provide another opportunity to understand metapopulation dynamics in tidewater gobies, thereby aiding in the conservation efforts of this species.

Using Nature to Nurture: A Forest Based Emotional Support Intervention

Jay Schoenfield, Social Work Graduate Student

College of Arts, Humanities & Social Sciences

Through discussions had between Grant Elementary school Staff and myself, it was established that Grant Elementary’s nature trail, which is located on school grounds was being underutilized in regards to the emotional regulation techniques that were being implemented. In response to this I created a guide sheet grounded in mindfulness through reviewing literature pertaining to forest bathing and the effects of nature exposure. Through discussions had with campus staff I formulated activities that would best support differing behavior and personality types. I then began implementing the guide sheet with small groups of students on the nature trail and on April 6th I lead a staff training.

Using qualitative clast and soil descriptions to investigate Tertiary gravels of the Klamath Peneplain erosional surface in Humboldt County, northwestern California

College of Natural Resources & Sciences

Southern Cascadia marks the change between the northern San Andreas Fault System, and the subduction of the Juan-de-Fuca and Gorda tectonic plates beneath North America. This area is a region of complex deformation, high rates of erosion, and vertical uplift. A low relief, heavily dissected, relict surface that is visible as gently sloping ridges preserved along the coast of Southern Cascadia is known as the “Klamath Peneplain”, named by J.S. Diller in 1902. Because it represents a time period of extensive fluvial erosion and deposition, its age and origin are crucial in understanding paleogeographic development of what is now Southern Cascadia and was qualitatively described in this study.

Using the California Mussel as a Bioindicator for the Presence of Heavy Metals on the Humboldt County Coastline

Emily Curry, Biological Sciences Undergraduate Student

College of Natural Resources & Sciences

The Humboldt coastline has a long history of industrial development and heavy disturbance. In 1999, the California State Water Resources Board surveyed Humboldt Bay, classifying it as a toxic hot spot. Clean-up efforts have been ongoing since the release of this report. Utilizing California mussels as bioindicators, we can quantify the levels of toxins found in the waters on our coasts with the help of Flame AA and correlate with the visual health of gill tissues. Using this new data, we can better understand the pollution problem and aid in the clean-up efforts.

Using thermography to measure stress responses

College of Professional Studies

The the human body undergoes a suite of physiological changes during stress, including changes in blood flow. These changes in blood flow may be detectable using new thermal imaging techniques. The present study was designed to determine the time-course and topography of temperature changes in the face during the experience of a psychosocial stressor. Our results suggest that thermography may offer a non-invasive method for assessing arousal. This study is an important first step in assessing the sensitivity of this technology to various affective states. Additional research measuring different emotions is needed to determine the applicability of this technology in the public sector.

Utilization of the Arcata Marsh and Wildlife Sanctuary by North American River Otters

College of Natural Resources & Sciences

North American river otters are a regular sight to see in the Arcata Marsh and Wildlife Sanctuary and have been observed to exhibit different behaviors and activities in various locations of the marsh. By using ArcGIS Pro, visual observations of river otters made by Jeff Black over the course of two years have been mapped out depending on their behavior and activity. I focused on mapping three main behaviors that otters exhibit in the marsh: fishing for fish or invertebrates, hunting for birds, or traveling to/from or through the marsh.

Utilizing Interventions to Assist Collegiate Athletes through Sports Injury and Mental Health Adversities

Miguel Farias, School of Applied Health Undergraduate Student

College of Professional Studies

Poster still in progress N/A