Katherine Kim, a senior majoring in biological sciences, has been involved in Global Brigades since her first year at CMU. Her alternate spring break trips have included Nicaragua and Panama, and this year, she will be supporting a telehealth clinic in Honduras through a virtual program.
The virtual brigade experience still includes curriculum prior to the live clinic. Students will discuss cultural norms, refresh their Spanish language skills, and learn about the challenges physicians face in Honduras. Kim said, "Issues like hygiene, mental health and water purity aren't technically medical, but are still very integral to health." Their group is helping to provide at-home water filters to the community they'll serve through March.
Ana-Maria Poole, a senior in biological sciences and modern languages, and Emily Ha, a senior in biological sciences, traveled to Ghana and Nicaragua with Global Brigades as underclassmen. Now, as co-leaders of the Public Health Brigade at CMU, the pair are preparing their group for a virtual service experience in Honduras as well as coordinating virtual service experiences throughout the year for students in Pittsburgh. For example, the group partnered with Clean Water Action to host online lectures and help spread awareness of clean water access issues in the United States.
Technophiles tend to overestimate the pace of mass adoption. For example, virtual reality fans expected a lot more of us to be whiling away our days with goggles stuck to faces, immersed in virtual worlds.
As one might expect, a few companies accounted for the bulk of invested capital. We mentioned Magic Leap and Niantic, as well as Unity Technologies, provider of a platform for developing augmented and virtual reality games.
The Move & Groove Program is structured with 30 minutes of programming with a daily introduction of a social & emotional character trait. This includes topics like decision-making, problem solving, risk-taking, stress management, empathy, and more. In addition, every day a different groove theme song is explored in ACT I and ACT II, with simple movements to experience, and then students get to put everything together for the Finale!
The utility of the two docking programs DOCK and AutoDock in studying the binding of small molecules to the minor groove of B-DNA is examined. The AutoDock program is found to be more effective in both pose prediction and ranking of known binders over random compounds, and this superior performance is shown to be because of the scoring functions rather than the sampling algorithms.
The three virtual dance performances that took place in November and December 2020 were the first for the CSU Dance Collective, the brainchild of Megan Glynn Zollinger, an assistant professor of dance at Chico State, and Heather Castillo, an associate professor of performing arts at CSU, Channel Islands. The collective now includes 20 CSU campuses.
Ochsner Health Center for Children - Baton Rouge is a pediatric super-clinic located inside Ochsner Medical Complex - The Grove. Our pediatric specialists are focused on the care, diagnosis and treatment of children from birth to 18 years of age. We are committed to enhancing the health and well-being of our young patients. You can schedule same-day and next-day pediatrician appointments in person or virtually. Plus, we offer extended hours so you can get in quickly when your child is sick. To get started, call 225-761-5200 or log into MyOchsner to schedule an in-person appointment or video visit.
Created by Lotus Notes inventor Ray Ozzie, Groove is a P2P networking platform that enables users to create a network without server on top of the public Internet. Several users, just by running the client, create a shared virtual space in which they can collaborate in real time or work off-line when not connected to the Internet.
The Groove client software is slated to sell for $49 per user, and company officials expect it to be commercially available in the near future. Users can download the software at www.groove.net and test a preview copy for free.
The mixed reality experience utilizes aspects of virtual reality, haptic feedback, and other physical effects. Guests wear an HTCVive Pro VR Headset, hand tracking sensor, feet tracking sensors, and a haptic suit containing 22 points of vibration that interact with a computer to power the headset.
Technology has found its way into disparate spheres of music, from production to performance. Researchers have attempted to automate multitudinous aspects in this domain. One of the interests has been towards the automated generation of music pieces itself. Bass grooves are an integral part of most music pieces. It makes a piece sound complete and bridges the gap between the percussion and melody sections. Thus, it is essential for machines to understand bass grooves for automated music analysis and production. Automatically distinguishing bass grooves is difficult and it aggravates even more for polyphonic music. In polyphonic music, the bass grooves tend to be at a lower volume and its frequency range has profound overlap with the percussion section which contributes to the complexity of identification. In this paper, a system is presented to distinguish bass grooves in the presence of drums. Experiments were performed with 7 grooves totaling 4473 clips which were modeled using MFCC-based features. The highest accuracy of 97.38% was obtained using multi-layer perceptron (MLP)-based classification.
N2 - Technology has found its way into disparate spheres of music, from production to performance. Researchers have attempted to automate multitudinous aspects in this domain. One of the interests has been towards the automated generation of music pieces itself. Bass grooves are an integral part of most music pieces. It makes a piece sound complete and bridges the gap between the percussion and melody sections. Thus, it is essential for machines to understand bass grooves for automated music analysis and production. Automatically distinguishing bass grooves is difficult and it aggravates even more for polyphonic music. In polyphonic music, the bass grooves tend to be at a lower volume and its frequency range has profound overlap with the percussion section which contributes to the complexity of identification. In this paper, a system is presented to distinguish bass grooves in the presence of drums. Experiments were performed with 7 grooves totaling 4473 clips which were modeled using MFCC-based features. The highest accuracy of 97.38% was obtained using multi-layer perceptron (MLP)-based classification.
AB - Technology has found its way into disparate spheres of music, from production to performance. Researchers have attempted to automate multitudinous aspects in this domain. One of the interests has been towards the automated generation of music pieces itself. Bass grooves are an integral part of most music pieces. It makes a piece sound complete and bridges the gap between the percussion and melody sections. Thus, it is essential for machines to understand bass grooves for automated music analysis and production. Automatically distinguishing bass grooves is difficult and it aggravates even more for polyphonic music. In polyphonic music, the bass grooves tend to be at a lower volume and its frequency range has profound overlap with the percussion section which contributes to the complexity of identification. In this paper, a system is presented to distinguish bass grooves in the presence of drums. Experiments were performed with 7 grooves totaling 4473 clips which were modeled using MFCC-based features. The highest accuracy of 97.38% was obtained using multi-layer perceptron (MLP)-based classification.
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