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An Idionomic Network Analysis of Trichotillomania Treatment Processes: Gathering Group-Level and Individual-Level Insights to Inform a Personalized Therapeutic Framework
No full textTrichotillomania, characterized by repetitive hair-pulling, leads to significant distress and impairment. Heterogeneity in symptom profiles challenges the effectiveness of treatment protocols for trichotillomania. Recent research endorses personalized treatment, emphasizing the assessment of biopsychosocial processes to tailor interventions more closely to the individual. This shift to a process-based, person-centered framework necessitates analytic methods capable of probing beyond nomothetic patterns to unveil nuanced individual-level processes. This study utilized Group Iterative Multiple Model Estimation (GIMME) to examine group-level and individual-level network dynamics as an initial step towards a process-based treatment framework for trichotillomania. Ecological momentary assessment data from 54 affected individuals were analyzed to identify shared patterns applicable at the group-level and individual-level for individualized treatment. Analysis revealed a nomothetic process dynamically related to cognitive fixation on the urge to pull. At the individual level, notable variability in network structures emerged. While centrality measures consistently identified the urge to pull as a pivotal process within GIMME individual-level networks, the influence of other processes differed considerably between individuals. Results indicate that despite some shared components, the heterogeneity within individual networks calls for customized treatment approaches, and the assessment of psychological process dynamics at the individual level. These insights support incorporating idionomic methods into the developmental stages of personalized interventions
Fact Sheet: Fentanyl
Get PDFThis fact sheet provides essential information on fentanyl, a potent synthetic opioid increasingly found in illegal street drugs, posing significant overdose risks. It highlights how opioids affect the body, the dangers of fentanyl, and the importance of harm-reduction strategies, such as fentanyl test strips, naloxone access, and safe syringe disposal. Information on signs and symptoms and how to respond to an overdose are also included
Keeping Kids Safe at Meals: Preventing and Responding to Choking
Get PDFIntroducing solid foods is an exciting developmental milestone, but it can also raise concerns about choking for parents and caregivers. Choking occurs when an object, such as food or a toy, blocks a child’s airway and prevents air from moving in and out of the lungs. This fact sheet offers practical guidance on how to prevent food-related choking, recognize the signs of a choking emergency, and what to do if a child is choking
Bench Evaluation of a Digitally Controlled Venturi Adapter PAP System With Integrated Respiratory Monitoring
No full textPurpose: Research has demonstrated that Continuous Positive Airway Pressure (CPAP) during procedural sedation reduces apnea and oxygen desaturation. However, the cost, size, and complexity of non-invasive ventilators hinder its wider adoption. We designed a small and low-cost Venturi Positive Airway Pressure (PAP) system that provides pressure-controlled PAP therapy, tidal volume estimates, respiratory rate reporting, improved end-tidal carbon dioxide (EtCO2) monitoring, and audible noise suppression. This study evaluated the system\u27s accuracy and effectiveness in a bench setting.
Methods: The system was evaluated on a simulator comprised of a test lung, face model, and mask. The mask was interfaced with a Venturi adapter that connected to our PAP system. Respiratory rate accuracy was evaluated against a respiratory flow monitor. Pressure control and tidal volume accuracies were assessed against the tolerances of a common non-invasive ventilator. The accuracy of EtCO2 measurements was also measured.
Results: Pressure control errors were less than 1 cmH2O, and lower than tolerances of the non-invasive ventilator (±2 cmH2O). Tidal volume measurements were made with errors less than 15% of the reading. EtCO2 measurements were within two mmHg of the reference.
Conclusion: Our system provides accurate pressure control and tidal volume and respiratory rate monitoring, comparable to a non-invasive ventilator. EtCO2 monitoring is accurate, thus providing useful capnometry to clinicians. Our system may be a simple and cost-effective alternative to a non-invasive ventilator for administering PAP therapy to reduce apnea and oxygen desaturation during sedation
Bistatic Continuous Wave Radar Using SDRs
No full textThis paper describes a research project at Weber State University (WSU) to create a small-scale passive-bistatic radar (PBR) using a low-cost software-defined-radio (SDR). SDRs have improved (in terms of performance versus cost) to where an affordable, low-power, receive-only radar system may be used in suitable RF environments.
The initial effort will generate a PBR testbed. Controlled measurement campaigns will validate radar-signal processing algorithms using two-dimensional geometries with a controllable transmitted signal. Follow-on research will integrate a two-element phased-array antenna at the receive SDR
A Comparison of Surrogate Modeling Techniques for Predicting Radial Turbomachinery Flow Fields
No full textRadial pumps and compressors are used in various engineering applications, including rocket turbopumps, automotive turbochargers, refrigeration systems, etc. Several different physical effects, including viscous losses, flow separation, compressibility, and rotational dynamics, dominate the flow in a radial impeller. These effects make predicting the flow field in a radial impeller very difficult, requiring computationally expensive CFD. However, a majority of an individual flow field calculated using CFD is often not pertinent to a designer, who only requires information at certain positions within the flow field. This often results in most of the simulation data generated being unused. Accurately predicting the flow field at the impeller exit is often a key part of impeller design. Recent advances in reduced-order modeling and machine learning have shown promise in their ability to allow a priori prediction of flow fields. In this study, a reduced-order model is created to predict the exit flow field of radial flow impellers in real time. The reduced order model uses the impeller geometry, including the angle distribution of the blade, the thickness distribution of the blade, the number of blades, and the contours that define the end walls as inputs. Other inputs are the inlet and outlet boundary conditions. The model is trained using over 1600 flow fields generated by high-fidelity CFD simulations. The simulated flow fields were chosen to represent a large design space for radial flow compressors. Key variables chosen for the design space are the geometric parameters of the machine, the Reynolds number, the flow coefficient, and the head coefficient. The model predictions show a velocity profile that is consistent with the CFD results. The model also accurately predicts the location and size of important flow features, such as the tip vortex and other secondary flows
Astrometric Measurements of WDS 12281-4448 STF 1645 AB
No full textThis project focuses on a binary star system which has been observed for over 200 years, however, inconsistencies in older data make it of interest for further study
CubeSat Attitude Determination and Control System
No full textDevelop a compact, low-mass, low-power, inexpensive Altitude Determination and Control System suitable for a student-class 1U CubeSa
University Rover Challenge
No full textOur objective is to produce a rover that will score 95 points in the University Rover Challenge (URC) SAR, have no mechanical or electrical failures during the competition, and consistently score at least 80 points in each of the URC missions. These missions are as follows
GASRATS CubeSat Transparent Antenna Payload
No full textThe Get Away Special Radio and Antenna Transparency Satellite (GASRATS) is a technology demonstration CubeSat designed and built by the USU Get Away Special Student Satellite Team. The project involves a state-wide outreach program and has been accepted for NASA\u27s CubeSat Launch Initiativ