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- All Subjects: Health
- Creators: Harrington Bioengineering Program
- Resource Type: Text
- Status: Published
This thesis presents a preliminary determination and design of a control algorithm for an assistive ankle device developed by the ASU RISE Laboratory. The assistive ankle device functions by compressing a spring upon heel strike during gait, remaining compressed during mid-stance and then releasing upon initiation of heel-off. The relationship between surface electromyography and ground reactions forces were used for identification of user-initiated heel-off. The muscle activation of the tibialis anterior combined with the ground reaction forces of the heel pressure sensor generated potential features that will be utilized in the revised control algorithm for the assistive ankle device. Work on this project must proceed in order to test and validate the revised control algorithm to determine its accuracy and precision.
This study seeks to answer the research questions: What are the major risk factors associated with the lack of prenatal and neonatal healthcare in developing countries? What are potential routes of intervention (ROI) to help these countries? The goal is to analyze the risk factors and determine if there are any ROIs available to minimize potential incidents or accidents associated with complications of preterm birth.
A few potential risk factors include: poverty, a mother’s lack of education, a lack of professional visitation during pregnancy, having a short cervix, and routine use of Ultrasound. This research paper has identified that keeping ultrasound diagnostics to a minimum, seeking professional help during pregnancy, incorporating corticosteroids for preterm births, implementing Kangaroo Mother Care, and Cervical Cerclage are interventions that can reduce preterm births and the associated complications that come with it. We believe that further research, regarding compliance of each of these interventions, would show reduction of preterm births and low birth weight in developing countries.
development on a global scale. Originally, development within a country was solely judged by the degree of economic growth by way of Gross National Product (GNP) and per capita income. Holistically, GNP measures the total extent of economic activity of a country’s people within a given time period. (Rutherford, 2012). Critics found several issues with this one-dimensional approach of measuring human development. What failed to be recognized was the distribution of income among the country’s citizens. Higher incomes often favor men within the majority when compared to women and people of minority groups (Feiner & Roberts, 1990). GNP also failed to recognize the social limitations under a government. In other words, are there limitations as to what goods can be bought and who can buy them?
The objective of this study is to build a model using R and RStudio that automates ratemaking procedures for Company XYZ’s actuaries in their commercial general liability pricing department. The purpose and importance of this objective is to allow actuaries to work more efficiently and effectively by using this model that outputs the results they otherwise would have had to code and calculate on their own. Instead of spending time working towards these results, the actuaries can analyze the findings, strategize accordingly, and communicate with business partners. The model was built from R code that was later transformed to Shiny, a package within RStudio that allows for the build-up of interactive web applications. The final result is a Shiny app that first takes in multiple datasets from Company XYZ’s data warehouse and displays different views of the data in order for actuaries to make selections on development and trend methods. The app outputs the re-created ratemaking exhibits showing the resulting developed and trended loss and premium as well as the experience-based indicated rate level change based on prior selections. The ratemaking process and Shiny app functionality will be detailed in this report.