Eastern Washington University

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    Solid Waste Fuel For Combustion in Energy Recovery System

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    Across the United States, there are two pressing problems: garbage disposal and electricity generation. Firstly, the infrastructure in place doesn’t properly dispose of or reuse municipal solid waste. In addition, power insecurity is becoming more prominent as power grids are becoming outdated. This project aims to provide an alternative solution for both issues by using a Brayton cycle based waste-to-energy incinerator. The overall system efficiency relies heavily on the feedstock used for incineration. One way efficiency can be increased is through pelletizing trash, ensuring an even burn profile, providing the correct amount of feedstock, and ensuring adequate energy production. However, knowledge of the energy level per feedstock amount is needed. This project aims to use the money that was awarded to be able to purchase and test various feedstock: polypropylene, polyethylene, and mixed-wood pellets, as well as shredded packing paper. The testing uses a calorimeter to measure the amount of energy that is stored in each feedstock material. The data gained can provide information necessary for calculating the amount of electricity per specified volume of the above-mentioned materials. The first stage of this project involved gathering energy contents of the pure substances listed above through research papers. In the next few weeks, we will be continuing with our own experimentation that examines the energy released when combusting combinations of these substances. Our goal is to gather calorimetry data for the pelletized and shredded material listed above. The data will be used to design the waste-to-energy incinerator

    The Water Crisis of Lake Mead, Nevada

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    The Colorado River flows from the western flanks of the Rocky Mountains in Colorado to the Gulf of California and is the primary water source for millions of residents of the southwestern United States. When Hoover Dam was completed in 1935, it created Lake Mead, the largest reservoir in the United States. At its fullest, Lake Mead holds 2 years of Colorado River flow. Lake Mead provides water to the cities of Las Vegas, Boulder City and Henderson, NV, and it provides electricity for Los Angeles, CA. Hoover Dam and the upstream Glen Canyon Dam regulate the amount of water in the Colorado River. Unfortunately, due to aridity and continuing high demand for water from both Lake Mead and Lake Powell, lake levels are dropping significantly. Lake Mead is expected to drop 20 feet within the next year. With levels dropping at an alarming rate, residents of southern Nevada are experiencing a water shortage crisis in what is already one of the driest areas in the nation, the Mojave Desert. We discuss the severity of the crisis, as well as the impacts on residents of the region

    Beach Lamp

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    “Beach Lamp” is a mixed media lamp sculpture measuring 18” x 10”. This unusual piece is complex and made from objects found lying around a craft room. The work is inspired by living on the beach with a bright night light reflecting off the water. The figure poses as the queen of the ocean that has created this fun bright colored atmosphere full of random craft objects and materials. Beach Lamp brings you to a world of color and bright lights. With every little detail it invokes a bold expression of chaos, but it is organized. The Lamp reminds us to enjoy the little details when exploring a beach, to not take it for granted, and to recycle materials so they don’t end up hurting the ocean

    Using an embedded system for a quality cup of coffee

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    Many coffee lovers spend up to 5onacupofcoffeeeveryday.Tosavemoneyonecouldmakethemathome,butaqualitymachineforagoodcupofjoecancostupto5 on a cup of coffee everyday. To save money one could make them at home, but a quality machine for a good cup of joe can cost up to 2000. Using an embedded system one could spend less than $500 and only spend a few hours to make a quality machine that will last a lifetime. Gaggiuno is an open source project that uses C language on an STM-32 microcontroller. Learning C language combined with hardware implementation applied to cheap and simple everyday objects can improve everyday quality of life and save money. We are improving upon the open source project by implementing a sensor to measure and display the temperature of the milk when it is being steamed. This addition improves safety for the consumer. This is challenging because we have to incorporate the addition into a pre-established circuit with limited space, and tie in new code to a preexisting one. In addition, all of our team members have to learn how to program the touch screen display using the proprietary IDE and language

    \u3ci\u3eContracaecum multipapillatum\u3c/i\u3e prevalence and intensity of infection in the introduced brook stickleback as a case study of biotic resistance

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    The enemy release hypothesis suggests success of invasive species in initial phases of invasion is due to their ability to escape from native predators and pathogens. However, according to the biotic resistance hypothesis, this success of non-native species is time-dependent due to native predators and pathogen’s ability to shift prey and hosts making use of introductions. Introduced species function as predators and resource competitors to native species. It is important to understand potential limiting factors of an individual’s success and how it relates to large-scale ecosystem impacts. The brook stickleback is a newly introduced species in eastern Washington that has high population densities. These fish are parasitized by Contracaecum multipapillatum, a nematode in the Anisakidae family that has a complex life cycle targeting various species, including copepods, fish, piscivorous birds, and mammals. This study aims to calculate both prevalence and intensity of infection of C. multipapillatum by measuring the average number of nematodes found in Brook Stickleback. We collected fish at Middle Pine Lake within Turnbull National Wildlife Refuge in October 2017, 2019, and 2022. We performed fish necroscopy to identify nematode presence and quantity per host. The prevalence of infection of C. multipapillatum was significantly higher at 40% in 2019 versus 15% in 2017 and 2022. Intensity of infection was not different between years. This analysis demonstrates interannual variability in prevalence of C. multipapillatum infection in brook stickleback. Investigation into dynamics of this system provides insight into interspecific relationships and biotic resistance, providing a case study for this hypothesis

    Modeling repairable system failure data using NHPP realiability growth mode.

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    Stochastic point processes have been widely used to describe the behaviour of repairable systems. The Crow nonhomogeneous Poisson process (NHPP) often known as the Power Law model is regarded as one of the best models for repairable systems. The goodness-of-fit test rejects the intensity function of the power law model, and so the log-linear model was fitted and tested for goodness-of-fit. The Weibull Time to Failure recurrent neural network (WTTE-RNN) framework, a probabilistic deep learning model for failure data, is also explored. However, we find that the WTTE-RNN framework is only appropriate failure data with independent and identically distributed interarrival times of successive failures, and so cannot be applied to nonhomogeneous Poisson process

    Depression and Anxiety Symptom Severity in Students with Physical or Mental Chronic Health Conditions during 2020-21 Academic Year: A Longitudinal Study

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    Introduction: After the COVID-19 pandemic, national surveys indicated an increase in mental health conditions reported by undergraduates. Depression and anxiety can contribute to worse performance, including university work. However, there is limited research comparing depression and anxiety symptom severity between students with mental or physical chronic health conditions (CHCs) since the pandemic. The current study fills that gap by examining depression and anxiety severity in undergraduate students with CHCs. Method: Undergraduate students (n = 212) at Eastern Washington University completed online surveys during Fall, Winter, and Spring quarters of the 2020-21 academic year. Surveys included CHC questions and a validated measure of anxiety and depressive symptom severity. Paired samples t-tests addressed changes in levels of depression and anxiety severity over time. One-way ANOVAs and independent samples t-tests addressed mean differences across students with anxiety, depression, other mental CHCS, and students without CHCs. Results: Depression and anxiety symptom severity was stable across time for students with any combination of CHCs and those with no CHCs. Students with co-occurring anxiety and depression reported greater levels of anxiety symptom severity across time when compared to students with only physical CHCs, other mental CHCs, and no CHCs; however, those differences tended to end by Spring quarter. Discussion: Our findings are consistent with prior research demonstrating that students with co-occurring anxiety and depression may experience lower quality of life. Future studies that target students with combinations of anxiety and depression CHCs may need to be conducted to examine possible interventions for this population

    Geography, Climate, and Habitat Shape the Microbiome of the Endangered Rock Gnome Lichen (\u3ci\u3eCetradonia linearis\u3ci\u3e)

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    Abstract removed for publication of final findings of this research

    Meeting children\u27s needs through trauma-informed care in a crisis nursery setting

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    16. Smokejumper on descent (from front)

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    A smokejumper descends on a practice jump using a FS-14 parachute. The jumper holds the lines used to direct the parachute.https://dc.ewu.edu/corporandy_fs14/1015/thumbnail.jp

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