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Premium Wireless
Our work implements an inventory system and appointment system for the Premium Wireless phone company. It includes separate views for employees to manage inventory and view appointments for the day and the near future and allows customers to view all current inventory and set an appointment
Crime Prediction Using Machine Learning: The Case of the City of Little Rock
Crime is a severe problem in the city of Little Rock, Arkansas. In this study, we aim to develop a machine-learning model to predict criminal activities in the city and provide insights into crime patterns. We will analyze publicly available crime datasets from Little Rock Police Department from January 2017 to March 2023 to identify trends and patterns in crime occurrence. We used data cleaning and exploratory data analysis techniques, such as figured-based visualizations, to prepare the data for machine learning. We will employ the Neural Prophet, a time-series machine learning model, to predict daily crime counts. The model will train data from January 2017 to November 2021 and be tested on data from November 2021 to March 2023. The model will be evaluated using Root Mean Squared Error (RMSE), Mean Squared Error (MSE), Mean Absolute Error (MAE), and R2 score with results that represent a model that can accurately forecast the crime occurrence in Little Rock. The research associated with this study was funded by the Undergraduate Research Scholarship Award provided by Arkansas Tech University to eligible undergraduate students pursuing research.
This study will contribute the following: Cleaning and analyzing publicly available crime data to identify trends and patterns. Developing a Time Series machine learning model to predict daily crime occurrence. Evaluating a model’s performance using standard metrics to determine promising results.
This study’s findings can be used to inform law enforcement agencies, policymakers, other research groups, and third parties, such as business owners, to develop effective crime prevention and detection strategies
Find It on a Map: Country Location Identification in a University Geography Classroom, 2016-2022
Blank paper maps are often used to assess student location knowledge. A total of 502 students enrolled in 12 undergraduate World Geography classes between 2016 and 2022 were initially asked to find some of the following countries on a blank world map: Afghanistan, Australia, Brazil, Canada, China, France, Germany, India, Iran, Iraq, Japan, Mexico, Nigeria, North Korea, Russia, Syria, Ukraine, the United Kingdom, the United States, and Venezuela. Comparing student cohorts, results were generally mediocre and consistent over time, yet changes in identification accuracy appear with the beginning of the COVID-19 pandemic and in times of intense US media coverage of a country
Acoustic Sampling of Arkansas Bat Species Richness Across Different Seasons and Habitats
Arkansas is home to sixteen bat species belonging to the Vespertilionidae and Molossidae families. Bats are keystone species and provide numerous ecosystem services that also benefit people. This study explores factors that impact species richness between the spring and fall seasons in a wooded rural site (Washburn Park) and an urban field site (Arkansas Tech University campus), Russellville, AR. The non-invasive Echo Meter Touch 2 Pro, from Wildlife Acoustics, was used to record calls and identify bat species from these locations. Nearly 1,050 calls were recorded from 11 different species across the spring and fall between both sites. Results showed that there was significantly greater species richness in the spring (10 species) compared to the fall (9 species). The ATU campus had 8 species in the spring and 7 in the fall, while Washburn had 10 species in the spring and 6 in the fall. No other variables examined were found to have significant impact on species richness. Although number of calls are not indicative of population size, we also wanted to see what impacted call numbers. There were significantly more calls detected during the spring compared to the fall and fewer calls detected at Washburn compared to the ATU campus. Lastly, there were significantly more calls detected during the waxing crescent moon phase compared to the waning crescent. While results show that bats utilized both sites throughout the seasons, the sheer number of calls detected at the ATU campus, compared to Washburn, could be indication of more suitable resources
Laziness and How It Affects Our Students
This article analyzes the use of the term “lazy” in the educational setting, how this term affects students, and the pedagogical approaches educators can take within their subject areas to reduce stress for their students. Pedagogical decisions affect student stress, and this article provides suggestions to prevent student burnout in order to improve curricula offerings in secondary and higher-level classrooms. Results show that students often reduced to “lazy” are most likely struggling with an underlying cause for their lack of performance, such as stress, burnout, depression, anxiety-induced procrastination, unknown and undiagnosed mental challenges, and misguided apathy. Results concluded that to reduce student stress and increase intrinsic motivation, educators should avoid shaming students, provide rationale for learning, express interest in students, teach with enthusiasm, and contribute to building a positive learning environment
The Ozark Getaway
Website designed for usage of renting AirBnb houses outside of the original website under the specific owner
Process of Building and Designing a Spectrometer
Spectroscopy is the study and measurement of electromagnetic spectra resulting from electromagnetic radiation interacting with matter. Each element when excited emits a unique spectrum containing light of various wavelengths. The identity of the element can then be determined by examining the spectra. A spectrometer is a scientific instrument that utilizes optics, mirrors, and lenses to capture and examine spectra. A classroom spectrometer is potentially useful in the demonstration of numerous physics principles such as diffraction, reflection, ray optics, etc.
Keywords: Spectrometry, optics, spectru