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The Organization Of Serotonergic Fibers In The Pacific Angelshark Brain: Neuroanatomical And Supercomputing Analyses, Skirmantas Janušonis, Ralf Metzler, Thomas Vojta

Physics Faculty Research & Creative Works

Serotonergic axons (fibers) are a universal feature of all vertebrate brains. They form meshworks, typically quantified with regional density measurements, and appear to support neuroplasticity. The self-organization of this system remains poorly understood, partly because of the strong stochasticity of individual fiber trajectories. In an extension to our previous analyses of the mouse brain, serotonergic fibers were investigated in the brain of the Pacific angel shark (Squatina californica), a representative of a unique (ray-like) lineage of the squalomorph sharks. First, the fundamental cytoarchitecture of the angel shark brain was examined, including the expression of ionized calcium-binding adapter molecule 1 (Iba1, …

Decentering Property In Fourth Amendment Law, Michael C. Pollack, Matthew Tokson

Articles

For the past several decades, privacy has been the primary conceptual foundation for Fourth Amendment search law. The canonical test for Fourth Amendment searches accordingly looks to whether the government has violated a person’s reasonable expectation of privacy. Yet privacy is no longer the sole determinant of Fourth Amendment protection, as the Supreme Court has recently added a property-based test to address cases involving physical intrusions on land or chattel. Further, given the ambiguity of the reasonable expectation of privacy test, a variety of influential judges and scholars have proposed relying primarily, or even exclusively, on property in determining the …

Effective Approaches To The Dynamical Properties Of Two Distinguishable Bose Polarons, F. Theel, S. I. Mistakidis, P. Schmelcher

Physics Faculty Research & Creative Works

We explore effective approaches for describing the dynamics of induced interactions among two noninteracting distinguishable impurities (Bose polarons) when their couplings to the host species are switched on. First, we evaluate the time-dependent characteristics of each polaron through reduced single-particle models. Their validity is ultimately judged by comparing them to observables obtained within a many-body variational approach. We argue that utilizing a time-dependent optimization process with the effective mass and frequency being fitting parameters leads to an accurate matching on the level of one-body observables with the prediction of the many-body method. Next, we construct two-body effective models, which, in …

Balance Assistance Without Mechanical Support Using A Virtual Cane With Haptic Feedback, Sindhu Reddy Alluri, Sambad Regmi, Fazlur Rashid, Devin Michael Burns, Yun Seong Song

Psychological Science Faculty Research & Creative Works

Light Touch (LT) has been known to improve standing balance without mechanical support by providing sensory information about the movement of the body. Inspired by this, this work developed a Virtual Cane (VC) which gives no physical support but provides other sensory information that a physical cane would. The VC is developed with a distance sensor and vibration actuators to provide cane tip-to-ground distance information to the user. The extent to which this haptic feedback improves standing balance was assessed in a human experiment. 10 healthy young participants underwent a standing balance experiment with tandem stance and eyes closed, using …

How Do Human And Ai Gender Bias Interact In Hiring Decisions?, Eyuel Getahun, Daniel Burton Shank, Casey I. Canfield, Jessica L. Cundiff, Jenny L. Davis, Celia Freed

Psychological Science Faculty Research & Creative Works

The hiring process is crucial for organizational success but has long been troubled by human biases. Many organizations now include AI in their hiring protocols to mitigate these biases and increase efficiency. However, AI itself can have biases baked-in. Human biases and AI biases are distinct but related; here, we examine how human and AI biases interact to affect hiring outcomes. Through an online experiment, we examine this question in the context of gendered hiring for a male-dominated leadership position in electrical engineering. The study tests how elevated and depressed AI recommendations for male and female job candidates affect participant …

Comparison Of Cnn And Lstm Networks On Human Intention Prediction In Physical Human-Robot Interactions, Khosro Ghorbani Zadeh, Niloofar Zendehdel, George L. Holmes, Keyri Moreno Bonnett, Amy Costa, Devin Michael Burns, Ming-Chuan Leu, Yun Seong Song

Psychological Science Faculty Research & Creative Works

Advancements in robotics and AI have increased the demand for interactive robots in healthcare and assistive applications. However, ensuring safe and effective physical human-robot interactions (pHRIs) remains challenging due to the sophistication of human motor communication and intent recognition. Traditional physics-based models struggle to capture the dynamic nature of human force interactions, limiting robot adaptability. To address these limitations, neural networks (NNs) have been explored for force-movement intention prediction. While multi-layer perceptron (MLP) networks show potential, they struggle with temporal dependencies and generalization. Long Short-Term Memory (LSTM) networks effectively model sequential dependencies, while Convolutional Neural Networks (CNNs) enhance spatial feature …

Alcohol Misuse During The Covid-19 Pandemic: Stressors And Intersectionality Among Latinx Women, Lucas Torres, Alison Cerezo, Isaiah J. Jones, Fiorella L. Carlos Chavez, German Cadenas

Psychology Faculty Research and Publications

Objectives:

The COVID-19 pandemic has exacerbated previously existing disparities and introduced new challenges for individuals living at the intersection of marginalized identities, such as Latinx women. For instance, increases in alcohol use have been noted during the COVID-19 pandemic, yet it is unclear which circumstances experienced are more likely to predict alcohol use among Latinx women.

Method:

The present study sought to identify the profile of intersectional factors, namely immigrant status, socioeconomic standing, and age, and COVID-19 stressors that predicted high or hazardous alcohol use among 1,227 Latinx women living in the United States.

Results:

The main findings, in the …

Anxiety And Body-Focused Repetitive Behaviors: A Systematic Review And Meta-Analysis Of Comorbidity Rates And Symptom Associations, Kathryn E. Barber, Isabella F. Cram, Elyse C. Smith, Leila K. Capel, Ivar Snorrason, Douglas W. Woods

Psychology Faculty Research and Publications

Body-focused repetitive behavior (BFRB) disorders, including hair pulling disorder (trichotillomania [TTM]) and skin picking disorder (SPD), frequently co-occur with anxiety disorders, but reported comorbidity rates vary widely. Additionally, research on the relationship between anxiety and BFRB symptoms has yielded inconsistent findings. This meta-analysis and systematic review examined (1) the prevalence of comorbid anxiety disorders in individuals with BFRB disorders and (2) correlations between anxiety and BFRB symptom measures. The study protocol was pre-registered on PROSPERO. A systematic search of PsycInfo, PubMed, and Web of Science identified 119 studies (N=15,902) reporting anxiety prevalence rates in BFRB disorders and/or correlations between anxiety …