Isochronal maps of cardiac activation are commonly used to study the mechanisms and to guide the ablative therapies of arrhythmias. Little has been written about the assumptions implicit in the construction and use of isochronal cardiac maps. These assumptions include the following: (1) the location of the recording electrodes is known with sufficient accuracy to determine the mechanism of an arrhythmia or to guide therapy; (2) a single, discrete activation time can be assigned to each recording electrode location; (3) the presence or absence of activation at an electrode site can be reliable ascertained, and when activation is present, the time of activation can be determined with sufficient accuracy to specify the mechanism of an arrhythmia or to guide therapy; and (4) the recording electrodes are close enough together that the activation sequence can be estimated with sufficient accuracy to determine the mechanism of an arrhythmia or to guide therapy. The manuscript reviews evidence that these assumptions may not always be true, and when they are not, the isochronal map may be misleading.

The Raspberry Pi is an inexpensive computing system that can play an essential part of any computing curriculum. Since its release in 2012, the Raspberry Pi has been infiltrating K-12 education; it has the potential to make coding in K-12 schools as commonplace as textbooks. It has also changed the playing field for hobbyists by offering a low-priced generalpurpose computing system that challenges the Arduino in terms of open source support. In this paper, we advocate using the Raspberry Pi (RPi) throughout the University computing curricula as well. Low-priced and portable, the RPi is an exposed hardware platform students can tinker with without fear of breaking. Properly used, it affords students the opportunity to experimentally discover many aspects of computing.In this paper, we discuss the aspects of the RPi that make it appropriate for a University computing curriculum. We describe our classroom experiences and laboratory best practices as well as survey the work of others involved in integrated the RPi into University curriculums.

Microcontrollers play an increasingly important role in applied computing systems ranging from your toaster to deep space probes. A myriad of objects are embedded with microcontrollers and sensors and have the ability to communicate. The resulting Internet of Things promises to revolutionize information pathways. Are we prepared for this new reality? Within universities, microcontroller courses are typically offered in engineering departments but not in computer science. In this paper, we argue that microcontrollers can be used effectively in a wide variety of computer science and engineering courses. Microcontroller-augmented courses offer a number of advantages as compared to conventional course presentations. A microcontroller is inexpensive and portable and its functionality is largely exposed. Working with a microcontroller helps to demystify the hardware involved in the computing process. These attributes make the microcontroller an "approachable" personable computing device ideally suited for project-based activities. We propose a microcontroller-augmented curriculum and describe a variety of existing course implementations.

Computer Science educators are often frustrated in their attempts to demonstrate the power and relevance of their discipline in a classroom setting. Increasingly, educators are turning to carefully designed service learning projects to provide that experience.This paper describes a year-long service learning project in which we developed a working prototype of a mobile, locationaware tour for the Bonsai Exhibition Garden of the North Carolina Arboretum. The tour is a web-based, customizable, multimedia presentation on handheld Personal Digital Assistants. Students developed the complete tour, including all presentation materials and system installation, at the University of North Carolina at Asheville in a series of three computer science courses. The project abounded with both the benefits and pitfalls that come from combining service learning with cutting edge technology.

Data materialization is a workflow developed to create 3D objects from data-informed designs. Building upon traditional metalwork and craft, and new technology’s data visualization with generative art, this workflow expresses conceptually relevant data through 3D forms which are fabricated in traditional media. The process allows for the subtle application of data in visual art, allowing the aesthetic allure of the art object or installation to inspire intellectual intrigue. This paper describes the technical and creative process of Modern Dowry, a silver-plated 3D-print teapot on view at the Museum of the City of New York, June 2017–June 2018.