A large proportion of people require vision correction, and about 10% of them prefer using contact lenses. However, one of the key questions that has arisen is whether wearing contact lenses is safe during this pandemic. Currently this question remains highly debated and further scientific studies are required to adequately answer this question. Two important factors that may help removal of the viruses from contact lenses are the use of cleaning solutions and the human blinking reflex.
Wide-Complex Tachyarrhythmia (WCT) is an abnormality in which the heart rate is elevated and QRS complex duration is increased. An electrocardiogram (ECG) is a simple and quick test used to review heart functioning, so ECG images can be used to determine whether a patient is having an abnormal heart rhythm such as WCT. A WCT diagnosis based on the ECG can be difficult as it can take a lot of time and considerable expertise to make an accurate interpretation.
The use of both Terahertz and Mid-Wave Infrared scanning with artificial intelligence software to interpret and identify different types of black plastics. Current sorting technology cannot sort black or very dark colored plastics as they have very similar features, and therefore cannot be recycled. To solve this problem a new technique must be established. Each polymer material that interacts with terahertz and MWIR rays have a unique spectral signature.
Wearables are starting to include advanced haptic technology, touch feedback like vibrations, to help people create and listen to music, experience virtual reality (VR) environments, and improve accessibility for people who are Deaf or hard-of-hearing. Designing haptic feedback takes advanced knowledge about physiology and neuroscience that engineers and designers may not have access to.
Electric power is almost entirely transmitted through polymer insulated cables or wires in every home, factory, plant, or apparatus. If the temperature of a cable increases, it would be an indication that some accidents or malfunctions such as inflow of excess electric current occur in the cable. The generated heat, indeed, degrades the polymer insulations in cable, thus, making it unsuitable and unsafe for extra service. Therefore, it would be markedly valuable if the thermally-degraded portion in the cable can be located accurately without destroying the cable.
Due to COVID-19, adoption of and investment in technological solutions for remote mental health services (teletherapy) is rapidly increasing. While the evidence-base for teletherapy for individuals is robust, teletherapy research with families has been limited. Further, uptake of teletherapy by clinical training programs has been slow and knowledge about the feasibility of using these interfaces for remote live supervision has not yet been established.
In this project, we plan to study and improve the existing Best Tests section of the Clinician Portal from Alpha Laboratories. Best Tests provides metrics to clinicians that allow them to compare the effectiveness and cost of their test ordering patterns. However, the problem is that many of these comparison metrics are not easy to understand and even harder to integrate into the existing routines of doctors, nurse practitioners, and lab orderers (i.e., clinicians).
An area of exploration that can lead to a critical improvement in the way first responders can better respond to situations (e.g., fires, shootings, etc.) in indoor scenarios is in the development of intelligent indoor mapping systems that provide critical navigation details to the first responders. This enables first responders to not only plan out their strategies in handling a particular indoor incident, but also provide them with real-time navigation details to accelerate these strategies.
We use optimization and analytics, within a dynamic experiment setting, to help determine a business-to-consumer matching platform transaction fees and improve customer engagement. During the course of the project, a graduate student intern will gain deeper understanding of designing and running dynamic experiments and learn more about using optimization within game-theory models. The intern will also further understand the demands of running a matching platform. The industry partner will gain insights on setting transaction fees and increasing customer engagement.
Computer hardware is enjoying a widespread renaissance with the emergence of the compute-intensive and challenging machine learning workloads. ABR develops and maintains NENGO, a biologically-plausible model for neural networks and is keen to develop hardware support for efficient realizations of these networks. FPGA (Field-Programmable Gate Arrays), are an attractive target for this if we can overcome the communication bottlenecks that limit the effectiveness of these designs.