There has been a recent explosion of interest in the use of noninvasive transcranial brain stimulation (or "neurostimulation"), both in clinical settings and as a research tool. One of the two main ways to stimulate the brain transcranially is to run a current to the brain through the magnetic fields generated by a coil that is held near the scalp. This approach has been approved by the FDA for treating depression. The other main approach uses electrodes placed on the scalp to "inject" current into the head, or apply voltage on the scalp, which is known as transcranial direct current stimulation (tDCS) or transcranial alternating current stimulation (tACS), depending on the type of current or voltage source used. Various neurostimulation technologies have been tested in human experiments for a huge variety of applications including motor rehabilitation, speech therapy, enhancement of cognitive learning, and treating depression and other affective and behavioral disorders, chronic pain syndrome, post-traumatic stress disorder, and others.
Transcranial Magnetic Stimulation (TMS) of the human motor cortex.
SCIRun is the integrated programming environment that has been a core technology of the CIBC since its inception and each major version release is an enormous undertaking. The program now contains hundreds of thousands of lines of C++ code and a new release requires at least a review of all this code, with replacement or updating of larger portions of it. We are nearing the first release of such a major new version, SCIRun 5.
There must be considerable motivation for such a major release, motivation which comes from both our users, collaborators, and DBP partners but also from advances in software engineering and scientific computing, with which we must also keep pace. Our users continue to demand more efficiency, more flexibility in programming the workflows created with SCIRun, more support for big data, and more transparent access to large compute resources when simulations exceed the useful capacity of local resources. The evolution of software engineering has led to changes in computer languages, programming paradigms, visualization hardware and processing, user interface design (and tools to support this critical component), and the third party libraries that form the building blocks of complex scientific software. SCIRun 5 is a response to all these changing conditions and needs and also represents some long awaited refactoring that will provide greater flexibility and freedom as we move into the next generation of scientific computing.
Partial differential equations (PDEs) are ubiquitous in engineering applications. They mathematically model natural phenomena such as heat conduction, diffusion, and shock wave propagation. They also describe many bioelectrical and biomechanical functions and are a central element of the simulation research of the Center. Analytical solutions for most PDEs are known only for certain symmetric domains, such as a circle, square, or sphere. In order to obtain solutions to PDEs for more realistic domains, numerical approximations such as the finite element method (FEM) are used. In the FEM, both the domain and the PDE are discretized and a numerical solution is calculated using computational resources. The discretization of the geometric domain is called a mesh. Meshes play a vital role in the numerical solution of PDEs on a given geometric domain, the accuracy of which depends on parameters such as the shape and size of the mesh elements. The most commonly used meshes contain tetrahedral elements. While simple conceptually, mesh generation is one of the most computationally intensive tasks in solving a PDE numerically.
Introducing ViSOAR. As data acquisition advances, and data sizes increase, the need for tools to process and visualize the results in an effective and efficient manner is becoming increasingly important. The reliance on supercomputers for scientific visualization and analysis is already proving to be a hindrance for wide accessibility to researchers and scientists dealing with large data.
From the University of Utah: Feb. 7, 2014 – The University of Utah's College of Engineering received approval this week for its new graduate certificate program in big data.
This emerging field – which addresses large sets of data too complex, diverse or rapidly changing for one computer to handle – affects everything from studying traffic patterns to managing sensitive information online. Big data is also big business – for example, using big data to improve efficiency and quality in the health care sector is estimated to be worth more than $300 billion each year.
"We're seeing a revolution in the availability of data. It's easy to collect information, but processing and analyzing large stores of data is becoming increasingly difficult. We are at the point where the traditional analytical tools for attacking this problem are breaking down," says Jeff Phillips, assistant professor of computer science and coordinator of the new program.
Computer Simulation of Blood Vessel Growth: Early Step toward Treatment for Diseases that Affect Blood Flow
Jan. 22, 2014 – University of Utah bioengineers showed that tiny blood vessels grow better in the laboratory if the tissue surrounding them is less dense. Then the researchers created a computer simulation to predict such growth accurately – an early step toward treatments to provide blood supply to tissues damaged by diabetes and heart attacks and to skin grafts and implanted ligaments and tendons.
Press Release from The Utah Daily Chronicle By Nathan Turner on October 7, 2013. Contact Nathan Turner at This email address is being protected from spambots. You need JavaScript enabled to view it..
The October session of the Academic Senate approved a proposed cross-disciplinary certificate to the College of Engineering and Scientific Computing and Imaging Institute on Monday evening.
Welcome to the Fresh Tracks Newsletter, highlighting news from the SCI Institute. Since our first newsletter six months ago, SCI Institute faculty, staff, and students have continued to perform exciting research, lead international conferences, perform important professional service, and educate students at the graduate, undergraduate, and even high school levels.
Wednesday, September 11th 11 am to 2 pm University of Utah Warnock Engineering Building, Catmull Gallary 72 So. Central Campus Dr.
The first UDCC open house will bring together our consortium partners and engineering students to a single venue. Partners interested in sponsoring student internships through the new Data Center Engineering Certificate will be present for questions, and students will have the opportunity to hear from and engage with some of our nation's leading experts in the field. You can visit our website or email us for more information.
WASHINGTON, D.C. – The National Nuclear Security Administration (NNSA) today announced the selection of its six new centers of excellence whose primary focus will be on the emerging field of predictive science.
Six universities were selected either as a Multidisciplinary Simulation Center (MSC) or as a Single-Discipline Center (SDC). The MSCs will receive $3.2 million and the SDCs will receive $1.6 million each year for five years under NNSA's Predictive Science Academic Alliance Program II (PSAAP II) agreement.