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    11603 research outputs found

    Education in the U.S., What Factors Matter?

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    This paper studies the inputs that go into U.S. elementary and secondary school students’ education by state and how each of those inputs impact the output of their education represented by the average SAT score by each state. The research found that the most significant advantage to U.S. elementary and secondary has to do with money, with wealthier students generally scoring better on the SAT. The results of this study were found using a regression that uses household income, teacher salaries, funding per student, population education level, pupil-to-teacher ratio, participation rate in the SAT, portion of students enrolled in private schools, and whether the state is red or blue. The results of show how factors like being in private school, coming from a wealthier family, and classes with fewer students help students achieve higher SAT scores

    Peaceful Cat Guards Fushimi Inari

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    Peaceful Cat Guards Fushimi Inari, taken by Emma Cortes on the Linfield University January Term Program in Japan. Photo taken in Kyoto, Japan. 3rd place, Judges division, in the 2025 Linfield University Study Abroad Photo Contest.https://digitalcommons.linfield.edu/intl_photos2025/1002/thumbnail.jp

    Himeji Castle

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    Himeji Castle, taken by Ethan Smith on the Linfield University January Term Program in Japan. Photo taken in Himeji, Japan. 3rd place, Architecture division, in the 2025 Linfield University Study Abroad Photo Contest.https://digitalcommons.linfield.edu/intl_photos2025/1004/thumbnail.jp

    Psilocybin-Assisted Therapy as an Alternative Intervention for Treatment-Resistant Depression in Healthcare Workers

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    Psilocybin, a naturally occurring psychedelic compound and 5-HT2A (serotonergic) receptor agonist, has recently gained attention for its potential therapeutic benefits in individuals with TRD. A landmark study published in The New England Journal of Medicine demonstrated that a single dose of psilocybin reduced depressive symptoms in patients with treatment-resistant depression, with sustained improvements noted weeks after treatment (Goodwin et al., 2022). Further, recent research involving frontline healthcare workers during the COVID-19 pandemic 3 found psilocybin therapy to be effective in alleviating symptoms of depression and burnout (Back et al., 2024). These findings suggest psilocybin therapy may offer a novel and potentially transformative approach for managing TRD, particularly in populations exposed to chronic occupational stress. This paper will explore the efficacy of psilocybin-assisted therapy as an alternative intervention for healthcare workers with TRD and will make several policy and practice recommendations to establish equitable and safe implementation in clinical practice

    Guided Imagery: The Effects on Perioperative Anxiety and Postoperative Pain and Sleep Quality

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    Anxiety is the emotional and physiological response to stimuli perceived as threatening and is a common feeling experienced by many individuals in the time surrounding surgical operations (Gonzales et al., 2010). Perioperative anxiety has the potential to elevate pain levels, increase the prevalence of postoperative complications, and increase the duration of stay in the recovery period (Celik & Edipoglu, 2018). Guided imagery is a nonpharmacological intervention that utilizes visualization tactics to achieve a state of relaxation, and is an effective method for improving mind-body healing processes (Topan et al., 2024). While guided imagery has been found to impact pain, stress, sleep, and anxiety positively, it remains a largely unimplemented intervention in the perioperative setting (Topan et al., 2024). The objective of this paper is to investigate the effects of guided imagery on perioperative anxiety and postoperative pain and sleep quality

    One On One Social Media Startup

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    I will be presenting a social media startup plan for a company which provides basketball camps, clinics, trainings, etc. I have created a SWOT analysis, a style guide, a weekly schedule, an official instagram account with content to go along with it

    A Comparative Analysis of Deterministic and Stochastic Models of Insect Swarms

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    Insect swarms exhibit collective behavior that emerges from the seemingly random motion of insects inside the swarm. A deterministic model developed by Gorbonos et al. [1] describes this adaptive gravitational force alongside a repulsive force that prevents collisions among insects and an elastic potential, providing a framework for understanding their interactions. The elastic potential and corresponding spring constants, identified through studies of laboratory insect swarms, describe oscillations in the insects’ movement and result in an elongation of the swarm along the vertical axis. This model is compared to a stochastic swarming model with weighting to mimic the effect of gravity and the discussed acoustic gravity-like force. The results of this research help to improve our understanding of emergence through the lens of swarms and complexity

    Size Structure of a Threatened Population of M. falcata in the North Yamhill River

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    Western Pearlshell mussels (Margaritifera falcata) are an ecologically important freshwater species that currently has little data regarding population demographic rates and size distributions. Local populations in the Yamhill watershed are threatened by reduced water flow, which can cause dewatering. The goal of this survey was to document baseline size distribution and investigate size structure differences in order to see if mussel size influences dewatering mortality risk

    Computationally Modeling Insect Swarms

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    Swarms of insects and similar species show signs of collective or emergent behaviors. We can analyze these behaviors thoroughly by looking at how the simulated properties are related to different formations of insect swarms. This work focuses on a newly developed computational model. Through incorporating random, but limited, perturbations in velocity direction, we can achieve a combination of stochastic and deterministic outputs. In addition to this new model, we look at the behaviors shown in older models including, but not limited to polarization, diffusion, rotational inertia, distribution of insects, etc. Furthermore, we examine how the use of random number generators can influence computational models, focusing on the spread of randomness in these models from a completely stochastic model, to a completely deterministic model

    Reducing Artifacts In X-ray Interferometry Using Multiple Harmonics

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    X-ray interferometry is a promising medical imaging modality because of its ability to capitalize on properties of light to simultaneously measure absorption, scatter, and refraction to produce attenuation, dark-field, and differential-phase images in a single scan. This allows a promising application in using x-rays to image more features of the human body besides dense tissue. Images are created by fitting sinusoidal parameters to the fringe pattern at the detector created by a diffraction grating. Currently, only one harmonic has been used in making the images. By considering the second harmonic we can fit more sinusoidal parameters to the phase stepping curve resulting in an image with less artifact error

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