Characteristics and Achievement Patterns of 3-Year-Old Preschoolers\u27 Evolving Mathematical Knowledge to Inform Preschool Instructional Practices

The NAEYC recommends that early childhood mathematics education be research-based and developmentally appropriate. Currently, research indicates that early number sense predicts later mathematics achievement. Because of this, teachers see the importance of ensuring young students meet specific mathematics benchmarks. An in-depth look at actual students’ development in the context of their classrooms is warranted. Specifically, we studied five cases of 3-year-olds’ mathematical understanding. Research Question: What are the characteristics and achievement patterns of 3-year-old preschoolers mathematical knowledge over a year

Impact of Fall Prevention and Home Modification Programs for Older Adults

Background: By 2030, the number of U.S. adults aged 65 or older will more than double to about 71 million (CDC, 2015). With these rapidly changing demographics, fall prevention and home modification programs provide preventative support for aging in place. The lack of fall prevention services is both costly and impacts quality of life for older adults. $50 million dollars were spent on medical costs due to falls in 2015 (Florence, et al., 2018). By reviewing the literature and critically evaluating the results of the research studies, conclusions can be made as to the most effective fall prevention methods for older adults

Passionate performers

With only 40 students enrolled in the performing arts program... small numbers don’t measure the success of the department. In fact, some believe it’s one of its biggest strengths

Squeezed: Why Rising Exposure to Health Care Costs Threatens the Health and Financial Well-Being of American Families

Examines U.S. healthcare costs compared with other industrialized countries, individual health insurance coverage, individual market regulations, and the impact of high deductible plans on the health of individuals with chronic disease

Gaps in Health Insurance: An All-American Problem

Presents findings from a survey that examines health insurance coverage, rising healthcare costs, and the health and financial consequences to families that experience breaks in insurance

The Effect of Projection on Derived Mass-Size and Linewidth-Size Relationships

Power law mass-size and linewidth-size correlations, two of "Larson's laws," are often studied to assess the dynamical state of clumps within molecular clouds. Using the result of a hydrodynamic simulation of a molecular cloud, we investigate how geometric projection may affect the derived Larson relationships. We find that large scale structures in the column density map have similar masses and sizes to those in the 3D simulation (PPP). Smaller scale clumps in the column density map are measured to be more massive than the PPP clumps, due to the projection of all emitting gas along lines of sight. Further, due to projection effects, structures in a synthetic spectral observation (PPV) may not necessarily correlate with physical structures in the simulation. In considering the turbulent velocities only, the linewidth-size relationship in the PPV cube is appreciably different from that measured from the simulation. Including thermal pressure in the simulated linewidths imposes a minimum linewidth, which results in a better agreement in the slopes of the linewidth-size relationships, though there are still discrepancies in the offsets, as well as considerable scatter. Employing commonly used assumptions in a virial analysis, we find similarities in the computed virial parameters of the structures in the PPV and PPP cubes. However, due to the discrepancies in the linewidth- and mass- size relationships in the PPP and PPV cubes, we caution that applying a virial analysis to observed clouds may be misleading due to geometric projection effects. We speculate that consideration of physical processes beyond kinetic and gravitational pressure would be required for accurately assessing whether complex clouds, such as those with highly filamentary structure, are bound.Comment: 25 pages, including 7 Figures; Accepted for publication in Ap

Studies of Adult and Larval Zebra Mussel Populations in Conesus Lake, NY

The goal of this study was to assess the status of the zebra mussel population (Family Dreissinidae, species Dreissena polymorpha) in Conesus Lake by sampling benthic adults and planktonic larvae during the summer reproductive season. Another invasive dreissinid bivalve, the quagga mussel, D. bugensis, has firmly established itself in some of the larger Finger Lakes, including Seneca and Canandaigua Lake. Therefore a second goal of this study was to determine if quagga mussels had invaded Conesus Lake. In this report we provide data on population numbers and size distribution of adult zebra mussels and describe temporal patterns of larval density and cohort development. Water quality data for are also provided for a deep-water station where larvae were sampled. Our observations indicate that, while populations of adult mussels have declined by about 20% since the year 2000, adult densities and the supply of larvae are still moderately high and the species seems to be well established in Conesus Lake

Smart Airport App

We are going to make an app that can be used by people traveling through or from ORD airport (Chicago), which will provide live time update for security check line (in terms of time), change of gate for the flight and whether or not the flight is on time. The reason for developing this application is to simplify and improve the passenger’s overall airport experience in order to make it more enjoyable, informative, and time efficient while decreasing the current negative mentality towards traveling. Resources needed to create the prototype would include softwares that help in creating wireframes of the applications like Balsamiq and app developing softwares like Android studio and Xcode. The anticipated beneficiaries of this project would be the consumers that are being provided a smoother airport experience, as well as the airport operators who will be able to provide a better service to the customers with the data collected. An expected result of this app is that fewer passengers will miss their flights; by focusing on waiting times, flight schedules, flight locations, and other airport operations, it can be assumed that users of this app will have more control in the travel process and therefore will make educated decisions based on real time data to make their flight on time. The constraints for this app will be that it is only available on Android-OS compatible phones. Only O’Hare International Airport in Chicago, Illinois will be functional at the time of app release while the team learns about the learning capabilities of the ap

The Smart Airport App, Transit.io: The Travel Optimizer

Jacqueline Andrews, Devin Burke, Uvika Chaturvedi, Jake Collins, Pranav Gupta, Vikrant Neb, Harsh Somani, and Alyssa Williams were all seniors in industrial engineering in the spring semester of 2016. They were members of Team 3 in the course titled Human Factors and Work Analysis (IE 486). This course explores the application of engineering, computer sciences, information sciences, and psychological principles and methods to the analysis and design of human work systems. In this article, the students describe their development of an application prototype to improve the airport travel experience