Monitoring Macroalgae in the Great Bay Estuary for 2014

Four more intertidal fixed transect sites were added to the long5term macroalgal monitoring array, resulting in a total of eight sites for the Great Bay Estuary. Monitoring results from 2014 show high levels of cover of nuisance green and red algae (Ulva and Gracilaria, respectively) at all sites except near the mouth of the Estuary. Seasonal sampling of algal cover confirmed earlier work that showed mid5summer accumulations of green algae (primarily Ulva)lactuca) were largely replaced in late summer and fall by red algae (two species of Graciliaria, one native and the other introduced). A determination of whether intertidal macroalgal populations are increasing over time will require a longer time series and would likely benefit from historical analysis of earlier collections of intertidal macroalgae. To this end, a method for analysis of historical photographs was developed

An at Home Cardiorespiratory Monitor in Low Income Countries

ME450 Capstone Design and Manufacturing Experience: Winter 2021This project starts the design process of a device that helps address the issue of Respiratory Syncytial Virus (RSV) in infants in low income countries. It is a pulse oximeter that is modified to infants small features and constant movement. It also considers the environmental conditions that are associated with most low income countries. The current solution for the problem is a two housing monitor that would be worn the infant's ankle and foot to consistently monitor their blood oxygen levels while they sleep.Prof. Aubree Gordon, Caroline Soyars: Global Health Design Initiativehttp://deepblue.lib.umich.edu/bitstream/2027.42/167653/1/Team_10-Cardiorespiratory_Monitor.pd

Housing Impact of Shale Development in Eastern Ohio Update: October 2016

This quarterly update of the Housing Impact of Shale Drilling Study and Dashboard (Appendix 1) includes lead indicators measuring oil and gas shale development activities in the third quarter and lagged indicators measuring the housing market in second quarter of 2016. As with the first report and dashboard, the companion documents were prepared by a team of researchers from Cleveland State University’s Levin College of Urban Affairs (CSU) for the Ohio Housing Finance Agency (OHFA) to monitor the impact of the Utica shale development industry on housing affordability and availability in eight counties of eastern Ohio where the core upstream and midstream activities of shale development are concentrated. The eight counties include Belmont, Carroll, Columbiana, Guernsey, Harrison, Jefferson, Monroe, and Noble. Updates of the upstream and midstream activities are provided for all indicators developed in the initial dashboard and report: well count, potential employment, and oil price. In addition, an indicator reflecting sales tax receipts in eight counties was added to the dashboard providing a more complete picture of the impact of shale-related activity on housing. This indicator is a measure of mainly retail activities and indirectly points to an influx of non-local labor into the shale development counties. Further, the methodology used to project potentially generated labor has been revised to reflect total potential jobs generated by shale development activities during the quarter rather than newly created jobs. The housing market update for the second quarter of 2016 uses the five indicators developed in the initial dashboard and report: number of home sales, median sale price, days on market, rent per square foot, and rental vacancy rate. The indicators of multi-family affordability and availability derived from CoStar data include an update of the first quarter 2016 data as well. Rent per square foot and vacancy rate have been revised, as has the total sample size in terms of number of buildings and units. Costar is a “live database;” as such, data is continuously updated, even retroactively, so that historical numbers will be as accurate as possible

Fireflies at RPA Natural Area Final Report

Our group worked alongside community partners Shaunna Barnhart and Jim Dunn during the Spring 2024 semester to assist with their annual event Fireflies at RPA Natural Area. RPA Natural Area is a local park in South Williamsport, Pennsylvania that was recently acquired by Southside Recreational Authority. Since taking over the park, the organization has begun hosting an event each July to educate the general public about firefly biology and conservation by showing a film and guiding attendees through a firefly tour through the park. Our goals for this project included creating physical educational materials to be used at the park year-round, creating a promotional campaign to bring awareness to the public about both the park and Fireflies at RPA Natural Area, and preparing the event to be scaled up from 50 to roughly 100 attendees. Over the semester, we have created, distributed, and analyzed results from a community survey aiming to better understand current public knowledge on fireflies, produced trail signage and brochures to be printed and used at the park, and designed social media posts and event invitations

Impaired pre-competition wellbeing measures can negatively impact running performance in developmental youth female soccer players

This study aimed to determine the association between pre-competition perceived player wellbeing measures and subsequent relative and peak running performance of developmental youth female soccer players (n = 15, age: 16 ± 1 years). Total distance (TD), high-speed (&gt; 3.5 m/s) (HSRD) and very high-speed (&gt; 5.3 m/s) running (VHSRD) were expressed using 1-, 2- and 5-minute epochs and relative (per minute) calculations. Fatigue, sleep quality, upper and lower-body muscle soreness, stress, and mood wellbeing measures were collected via a self-reported questionnaire (1-5 Likert scale). Menstrual cycle phase was collected via a calendar-based countback method. Results demonstrated that reductions in stress was associated with decreased relative and peak TD in all epochs ( p = 0.008-0.040), relative and peak HSRD ( p = 0.006-0.039) in 2- and 5-minute epochs as well as VHSRD in 2-minute epochs ( p = 0.026). For example, a one-point reduction of 'normal' to 'relaxed' is associated with a decrease of 7 m/min in peak TD for 1-minute epochs. One-point increase in fatigue (e.g., 'normal' to 'more tired than normal') displayed a decrease of 7 m/min peak TD for 2-minute ( p = 0.048) and 9 m/min for 5-minute ( p = 0.007) rolling epochs. Likewise, one-point increase in lower-body muscle-soreness (e.g., 'normal' to 'increase in soreness/tightness') was associated with a reduction of 6 m/min peak VHSRD for 1-minute epochs ( p = 0.034). Results suggest that perceived player wellbeing can influence running performance. However, the magnitude of the change in player wellbeing should be considered in a practical sense. </p

Housing Impact of Shale Development in Eastern Ohio Update: February 2017

This quarterly update of the Housing Impact of Shale Drilling Study and Dashboard includes indicators measuring oil and gas shale development activities in the fourth quarter and indicators measuring the housing market in third quarter of 2016. As with previous reports and dashboards, the companion documents were prepared by a team of researchers from Cleveland State University’s Levin College of Urban Affairs (CSU) for the Ohio Housing Finance Agency (OHFA) to monitor the impact of the Utica shale development in Ohio on housing affordability and availability in eight counties of eastern Ohio where the core upstream and midstream activities of shale development are concentrated. The eight counties include Belmont, Carroll, Columbiana, Guernsey, Harrison, Jefferson, Monroe, and Noble. Updates of the upstream and midstream activities are provided for all indicators developed in the second iteration of the dashboard and report: well count, potential employment, oil price, and sales tax. The housing market update for the third quarter of 2016 uses the five indicators developed in the initial dashboard and report: number of home sales, median sale price, days on market, rent per square foot, and rental vacancy rate. The indicators of multi-family affordability and availability are derived from CoStar data and include an update of the first and second quarter 2016 data as well