The diet of the common raven is generally known, but no study has yet looked at the changes in foraging habits over the course of a year. We set out to answer this question to get a better understanding of raven's seasonal reliance on anthropogenic resources. In addition to overall foraging trends, we also studied how individual identity as well as age, sex, and territorial status affected foraging locations. To monitor foraging, we trapped and attached GSM tags to ravens within the Greater Yellowstone Ecosystem. These tags allowed us to gather location data from the birds as often as every 30 minutes throughout the day across a full year. I identified foraging points as high-density groupings where at least one bird spent one consecutive hour during the day. I determined the land use/cover associated with each point by overlaying them on a satellite image provided by Google Earth. We found a significant shift in the use of anthropogenic and natural resources across seasons. The percentage of foraging points at anthropogenic resources decreases from 88.3% to 21.9% between fall/winter and spring/summer with the most used resource being gutpiles generated from hunting (22.5% in fall/winter). This information, as well as the results from our continued data gathering, will provide wildlife managers with the information required to most efficiently limit large raven populations and mitigate their effects as predators on sensitive species. Currently, ravens are often controlled through lethal methods. Our study informs managers on important food sources that could be managed to reduce the population size instead of directly removing ravens.

Communal roosting, during which two or more individuals of a species gather for the night, is exhibited by a wide range of taxa, including birds. There are both costs and benefits to communal roosting, making it an important behavior to study when investigating the natural history of a species. Many birds in the family Corvidae form communal roosts, including the common raven (Corvus corax). While many short-term, localized studies of raven roosts have been completed, this study is one of the first to use new generation GSM tracking devices, which utilize cell networks to upload location data, to intensively study raven roosts across a large spatio-temporal scale. Using this technology, I am able to identify individual ravens’ roosts by tracking daily movements to and from sleeping sites during winter months. GPS datapoints, time of sunset/sunrise, satellite imagery, and opportunistic observations are used to determine the location of roosts each day. This study of ravens within the Greater Yellowstone Ecosystem aims to answer questions about whether there are demographic differences in roost site fidelity and roost substrate use. I found both territorial and vagrant ravens use a wide variety of roost locations and roost substrate types, including trees, cliffs, buildings, and powerline towers. Native raven populations are dramatically increasing across the western United States, causing human-wildlife conflict and negatively impacting sensitive wildlife species. Further investigation of raven spatial distributions in this ongoing study will add to our knowledge of raven natural history and aid wildlife managers in making effective conservation decisions.

Recent legalization of cannabis in various states has sparked research on the impact of cannabis use on postnatal outcomes. While previous research has yielded contradictory findings, some studies suggest increased cannabis use is directly associated with increased depression and psychological distress.We assert that prenatal mental health should be an essential consideration in the discourse surrounding prenatal cannabis use, as issues such as untreated maternal depression are risk factors for adverse postnatal outcomes like low birth weight and preterm delivery.However, few studies have considered the relationship between prenatal maternal mental health and cannabis use. Here we question: what is the association between cannabis use and psychological distress in pregnant individuals? For our sample population, we recruited pregnant individuals in the greater Seattle area. 12 individuals reported using cannabis (CB) at least 3 to 5 times a week throughout their first trimester of pregnancy, and 22 were non-cannabis users (n-CB). In early pregnancy, we administered the Brief Symptom Inventory (BSI), a self-reported measure, to evaluate psychological distress levels. We tracked cannabis use with weekly surveys from time of enrollment to birth, evaluating reasons for use and amount consumed, among other variables. We hypothesize that prenatal cannabis use will be associated with elevated BSI T-scores compared to the control group; within the prenatal cannabis use population, we expect cannabis use for mental health reasons to be associated with elevated BSI T-scores. More research is needed on possible causal versus correlational associations between cannabis use and psychological distress, and the role of psychosocial distress as a possible confounder in previous prenatal cannabis use and infant development studies.

The spatial distribution and degree of colocalization for two or more proteins, based on their fluorescence intensities, are useful metrics for phenotyping cells and informing on biological function. Yet, most commercial and open-source image analysis tools report global colocalization statistics at the image-level, and offer limited analysis at the individual cell level. To address this, we are developing a python-based image analysis pipeline to quantify robust per-cell metrics of colocalization. Our pipeline stacks image tiff files acquired on high-throughput automated fluorescence microscopes into multichannel 3D image stacks. The images are then restored via deconvolution algorithms, and cropped to remove out-of-focus image planes using Laplacian variance algorithms. For image thresholding and cell segmentation, the pipeline incorporates scripts from the Allen Institute for Cell Sciences to threshold and segment individual cells. Finally, the pipeline calculates per cell colocalization metrics based on the fluorescent intensity of each voxel in each cell. CLARITY was used to quantify the spatial relationships of the peroxisomal biogenesis protein Pex3 with the endoplasmic reticulum protein Sec61 and peroxisomal membrane protein Pmp70. Pex3 colocalized with both Sec61 and Pmp70 and this colocalization could be manipulated by treatment with different kinase inhibitors. In several instances, these differences in localization contributed to a large variance in the measured Pearson’s Correlation Coefficient of cells within the same image. Morphometric analysis showed the volume of peroxisomes per cell negatively correlated with the number of peroxisomes per cell. The automation of per-cell image analysis leveraged in this pipeline will allow for systems-level phenotyping and data mining from fluorescent microscopy images.

The nucleus accumbens (NAc) is a midbrain region associated with addiction-related behaviors. The NAc consists of medium spiny neurons (MSNs) that project to the substantia nigra (SN) or the ventral pallidum (VP) forming the direct (Go) and indirect (No-Go) pathways, respectively. The Go and No-Go pathways are mostly dichotomous in their expression of distinct receptors and neuropeptides. Dopamine receptor (D1) and adenosine receptor (A2a) expression corresponds to the Go and No-Go pathways, respectively. My goal is to investigate whether collateralization exists (i.e., single neuron projecting to both the VP and SN). This will be assessed by injecting retrograde tracers into the output regions and quantifying expression in MSNs. I used D1-iCre and A2a-iCre transgenic rats that express codon-improved Cre recombinase (iCre) in neurons expressing D1 or A2a, respectively. When the iCre expressing neurons are infected with a canine adeno-associated virus (CAV) containing a double-floxed and inverted (DIO) copy of a fluorescent protein, this anatomical marker protein is inverted and expressed specifically in these cells. I bilaterally injected four D1-iCre and four A2a-iCre males with CAV-DIO-TdTomato into the VP and CAV-DIO-ZsGreen into the SN. D1 and A2a neurons projecting to the viral injection site will uptake the virus and retrogradely label D1- or A2a-expressing MSNs in the NAc. The expression of these fluorescent proteins within the NAc will be quantified to investigate the projections’ dichotomy and collateralization. The dichotomy could be validated if the tracers expressed in exclusive populations of the NAc. Based on mouse studies, I hypothesize D1-Cre rats may have minimal colocalization in NAc MSNs but A2a-Cre rats may only express TdTomato in the NAc. Addiction continues to affect millions of individuals. We aim to elucidate anatomical differences to gain a better understanding of these midbrain pathways, which could be critical for the future of clinical treatment.

Neurogenic cough is a type of chronic cough related to hypersensitivity of the nerves in the larynx. There are several treatments for neurogenic cough, including neuromodulating medications, procedures, and cough retraining therapy. Superior laryngeal nerve (SLN) block is an emerging treatment that has yet to be well studied. This procedure involves injection of a steroid, along with a local anesthetic, into the neck trans-cervically, anatomically targeting the main nerve responsible for transmitting laryngeal sensation. It is thought to interrupt or dampen the neural pathways that simulate coughing. We aimed to assess factors that are predicative for a positive response to an SLN block via a retrospective chart review cohort study. We examined a variety of factors, such as history of cough, including triggers and type of cough, history of reflux and allergies, and prior neuromodulator use. We reviewed physical exam and testing findings, such as unilateral vocal cord paresis, which has been associated with neurogenic cough. We have identified 33 patients who are eligible for this study, have nearly completed chart review, and we will perform statistical analysis to associate factors with positive responses. Our series will report on the infrequently studied (2 existing publications) SLN block as a treatment for neurogenic cough patients. Our results will help us understand whether SLN block is a feasible treatment for neurogenic cough.

The COVID-19 pandemic has highlighted the importance of understanding indirect routes of transmission for infectious microorganisms and how we can implement barriers to prevent it. As we have observed with SARS-CoV-2, a virus’s ability to survive on surfaces plays a significant role in its ability to spread via fomites and surfaces. Surrogate viruses such as pseudomonas bacteriophages phi-6 and MS2 coliphages are common surrogate viruses for enveloped and non-enveloped viral pathogens such as coronaviruses and norovirus, respectively. Our objective was to determine 1) how long phi-6 and MS 2 are viable on surfaces as a result of different temperatures and relative humidity and 2) the efficacy of HOBr and HOCl disinfection to inactive these viruses on surfaces. Phage dried on stainless steel were incubated at various temperature and relative humidity conditions and sampled over time to determine the viral die-off rate. Separately, dried phages were treated with various concentrations of HOCl or HOBr to evaluate the disinfection capabilities of these solutions. Viral viability and quantification were determined using plaque assays. We found that phi-6 and MS2 die-off at much higher rates with increasing humidity and temperature. HOBr and HOCl treated phages are reduced over 6-logs at 50ppm and 5 minutes contact time with HOCl and HOBr. These results indicate that these surrogate phages and their respective pathogens are viable long enough to be a public health concern and that hypohalous agents are promising compounds for future surface disinfection.

Nationwide, many states are starting to provide training in evidence-based treatments for psychological disorders to clinicians from mental health organizations. In Washington state, many clinicians participate in a Cognitive Behavioral Therapy training (CBT+) each year, which employs a common elements approach to address multiple psychological disorders common in children. However, there has been limited research on clinicians’ underlying reasons for participating in these trainings. Thus, this study examines main motivations behind why clinicians participate in CBT+, along with whether or not differences in motivation exist amongst clinicians with varying levels of familiarities with CBT prior to training. In this study, surveys were distributed to CBT+ participants (N = 197) to self-report on a 5-point Likert scale their levels of agreement with each reason for participating in CBT+: organizational requirement, interest in learning/refreshing CBT skills, helping clients, and professional development.The participants also self-reported on their frequencies of using CBT prior to training, with answers ranging from “almost always” to “never”. For understanding clinicians’ motivations in general, I employed descriptive statistics. For evaluating potential differences in motivation amongst clinicians, I used four two-way ANOVAs, a statistical test employed to analyze differences amongst means, with post-hoc Tukey tests to compare the level of agreement for each reason for participation amongst clinicians with high frequency (n = 62), moderate frequency (n = 78) , and low frequency (n = 57) of using CBT. Ultimately, understanding clinicians’ motivations for participating in the CBT+ can help researchers tailor advertisements and refine features of training programs.These adaptations may engage clinicians in more effective ways by indicating how trainings can help them attain their specific goals. Future directions of research can investigate whether specific adaptations in response to clinicians’ motivations can enhance learning outcomes and feelings of satisfaction of clinicians.