Fit Brains is an online platform providing fun and entertaining games that exercise the five key cognitive areas of the brain. Since inception, the platform has attracted about 20,000 unique visitors per month. Although the number of visitors is reasonable, Fit Brains’ goal is to expand the platform to several millions interested in exercising their cognitive functions. Therefore, Fit Brains is exploring the use of contextual advertising and search engine optimization (SEO) to increase the number of targeted unique visitors.
This project will examine the ecological response of understory vegetation communities to alternative forest management practices, in the Montane spruce forests of the Interior, which have been disturbed by mountain pine beetle, fire and salvage logging. The research is within the Secwepemc Nation traditional territory and will focus on culturally valued plants and include applied burning to bring cultural values into the analysis.
The project consists of research into a technology that overcomes the shortcomings and deficiencies of the existing pain detection device. This approach modifies and improves pain detecting instruments by adding more intelligence and advanced designing techniques to the existing instrument. The existing design has too much wear & tear of the probe sensor, so our aim of the project is to overcome it by providing a disposable and replaceable probe. For this various moldings techniques, flexible circuit technology would be experimented and researched.
The generalization of the paper maché-like technique of covering surfaces with strips to industrial applications like building shells and ship hulls has not been fully realized. In participate, the problem of covering any curved surface with strips of material has been addressed but not solved in the general case. Most of the applicable research focuses either on using parameterizations that inevitably introduce cutting and/or stretching or using developable surfaces rather than strips.
The interns will conduct marketing research to design, develop and deliver an integrated marketing plan for two new cancer detection products, called LungSign™ and OralAdvance™. Each intern will conduct a competitive analysis using visual tools in order to identify underutilized market opportunities. Based on the analysis, the interns will deliver recommendations for a marketing mix and communications plan and design a creative strategy for increased use of these early detection products.
Miniaturization and microintegration is well known for their potentials in providing microsystems and sensors with unmatched performance, reliability, and lower costs. Current technologies in implementation of microsensors, however, span a large variety of platforms. It is thus common for microsensors measuring differing parameters to exist on different combinations of substrates, not to even mention the associated signal conditioning, processing, and data communication electronics.
The aim of the current project is to research ways of dynamically “crawling” the Internet to collect enough information to be able to make a confident conclusion of whether a particular wep-page or blog is spam. This is proposed to be done by continually maintaining a `backbone' subset of the set of all web pages containing the pinging blogs and trusted websites, and doing a minor crawl based on the web page that is to be analyzed.
The goal of this research is to define an information acquisition strategy for use in the definition and development of visual analytics (VA) tools relevant to the domain of interest. The strategy will account for task and job requirements gathering and incorporate a wealth of human factors issues known to be important in critical system design, e.g., workload, situation awareness, automation, etc. Another goal is to provide valid information for the design of laboratory and field studies using existing or new VA tools or components as the study apparatus.
The main component of this project with MapleSoft, Inc., a software development and business consulting firm, will be to design a high performance implementation (in C) of a set of procedures the intern has created in Maple language. These procedures provide an environment for doing polynomial arithmetic in a ‘lazy’ way. That is, they allow the team to compute in a way where polynomial algebra is done only when absolutely necessary. Computing in this fashion will allow the researchers to approach the implementation of several computer algebra algorithms in a novel way.
The proposed research project will assess psychiatric patients shortly before hospital discharge and then conduct follow-up assessments once a month in the community for three months. Assessment will include data collected from interviews as well as file reviews and will focus on the effect of patient perceptions on therapeutic and adverse outcomes.