19354 research outputs found
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FLM540
No full textConstruction of two speculation (spec) scripts for a TV series currently on a broadcast television, cable network, or streaming service
FLM612
No full textAdvanced theory, analysis, and writing in different Screenwriting genres and platforms. This elective is topical and since topics change each semester, the course may be taken for credit up to three times
HEA622
No full textFundamental skills of advising and supporting college student populations; needs assessment and design of inclusive interventions, strategies and programs; facilitating individual and organizational pathways to success
MAT309
No full textBasic counting principles including permutations, combinations, the multiplication and addition rules, and the pigeonhole principle; distribution problems; combinatorial proofs; counting the complement and inclusion-exclusion arguments; breaking counting problems down into smaller subproblems; generating functions; permutation groups and Polya’s enumeration theorem; combinatorial block designs
NFS601
No full textLeadership and project management applied in clinical nutrition, private practice, community nutrition and food service management. Competency-based learning using skills, tools, and techniques required in the life cycle of a nutrition project, including project selection, planning, staffing, task scheduling, budgeting, risk management, and quality improvement. Exploration of nutrition informatics in executing nutrition projects
The Grassroots Movement of Food Allergens in the United States and the Governments Role from 1990-2016
Get PDFThis poster aims to explain the beginning of food allergens in the United States and how the governments interactions influence the history of food allergies. Using government documents and data it unravels what exactly the government did to help or lack there of in a very serious matter. Food allergens were a grassroots movement in the United States and just began to raise awareness within the last few decades
Spatial and Temporal Analysis of Big Dataset on PM2.5 Air Pollution in Beijing, China, 2014 to 2018
Get PDFAir particulate matter (PM2.5) pollution is a critical environment problem worldwide and also in Beijing, China. We gathered five-year PM2.5 contaminate concentrations from 2014 to 2018, from the Beijing Municipal Environmental Monitoring Center and China Air Quality Real-time Distribution Platform. This is a big dataset, and we collected with crawler technology from Python programming. After examining the quality of the recorded data, we determined to conduct the temporal and spatial analysis using 27 observation stations located in both urban and suburb area in the municipality of Beijing. The big dataset of five-year hourly PM2.5 concentrations was sorted to actionable datasets (Selected Datasets and Seasonal Average Selected Datasets) with the help of Python programming. Linear Regression based Fundamental Data Analysis was conducted as the first part of temporal analysis in R studio to gather the temporal patterns of five-year seasonal PM2.5 contaminant concentrations on each observation sites. As the second part of temporal analysis, the Principal Component Analysis (PCA) was conducted in MATLAB to gather the patterns of variations of entire five-year PM2.5 contaminant concentration on each of the sites. Geographic Information System (GIS) was utilized to study the spatial pattern of air pollution distribution from the selected 27 observation sites during selected time periods. The results of this research are, 1) PM2.5 pollutions in winter are the most severe or the highest in each of the natural years. 2) PM2.5 pollution concentrations in Beijing were gradually decrease during 2014 to 2018. 3) In terms of a five-year time perspective, the improvements of air quality and reduction of PM2.5 contaminant appeared in all the seasons based on Fundamental Data Analysis. 4) PM2.5 contaminant concentrations in summer are significantly less than other seasons. 5) The least PM2.5 pollutant influenced area is north and northwest regions in Beijing, and the most PM2.5 pollutant influenced area is south and southeast areas in Beijing. 6) Vehicle concentration and traffic congestion is not the significant impact factor of PM2.5 pollutions in Beijing. 7) Heating supply of buildings and houses generated great contributions to the PM2.5 contaminant concentration in Beijing. While, in the background of rigorous emission reduction policy and management operations by the municipal government, contribution of heating supplies is gradually decreasing. 8) Human activities have limited contributions to the PM2.5 contaminants in Beijing. Meanwhile, type and quantity of fossil fuel energy consumptions might contribute large amount of air pollutions
Accelerating Onboarding
Get PDFThis project involved the research and development of an onboarding revision action plan for a multinational company based in Phnom Penh, Cambodia that’s been operating globally since 2011. The purpose of the project was to conduct research on how to optimize and accelerate the onboarding process for a company that’s had to pivot to working with consultants and working remotely in response to the global Covid-19 pandemic in the past couple years. The project aimed to create an onboarding “kit” of sorts to be handed over to a People & Culture hire to implement, but ended up taking the form of an onboarding revision action plan based on the learnings throughout the project
SOCIAL MEDIA, ANXIETY, AND READING ACHIEVEMENT IN ELEMENTARY STUDENTS
Get PDFThe purpose of this study is to explore the relationship between perceived social media usage, academic achievement in reading, and anxiety. This study looked at a second grade classroom in ASFM consisting of 21 bilingual Mexican students, 11 boys and 10 girls. Perceived social media usage was measured using a survey, academic reading achievement was measured using Fountas and Pinell reading levels and anxiety was measured using the Children’s Test Anxiety Scale (CTAS) by Wren and Benson (2004). Each variable was then analyzed on its own through the use of descriptive statistics and bar graphs; then, each dependent variable was compared against the independent variable using a t-test and scatter-plot. This study found that there is a positive moderate correlation between perceived social media usage and academic achievement in reading; as perceived social media usage increases so does the likelihood of higher reading scores. Additionally this study found a weak positive correlation between perceived social media usage and test anxiety scores; as perceived social media usage increases the likelihood of higher test anxiety scores increases as well