Accurate detection of the degree isoflurane anesthesia during a surgery is important to avoid risk overdose timely. To address this challenge, four-shank implantable microelectrode array (MEA) was fabricated for synchronous real-time dual-mode signals [electrophysiological signal and dopamine (DA) concentration] in rat striatum. The SWCNTs/PEDOT:PSS nanocomposites were modified onto MEAs, which...

Complex network topologies represent the necessary substrate to support complex brain functions. In this work, we reviewed in vitro neuronal networks coupled to Micro-Electrode Arrays (MEAs) as biological substrate. Networks of dissociated neurons developing in vitro and coupled to MEAs, represent a valid experimental model for studying the mechanisms governing the formation, organization and c...

Helping first-year engineering students to embrace the iterative and open-ended nature of engineering problem solving is a challenge when their prior learning experiences have focused heavily on achieving a correct answer in a single attempt. In this paper, the authors will present a case study of student work from the Fall 2007 implementation of Model-Eliciting Activities (MEAs) to demonstrate...

Completed unplanned but promising • experimentation on the use of ultrasonics for pressing of low-temperature (Nafion) MEAs. Submitted two publications for review based on • early unplanned experimentation and testing of low-temperature MEAs produced with both thermal pressing and ultrasonic pressing. Completed modifications of commercial ultrasonic • press and construction of custom tooling fo...

The augmentation index (AIx) and "oscillatory" compliance (C(2)) are wave contour analysis parameters for the central aorta (P(ao)) and radial artery pressure wave (P(rad)), respectively. Both are sensitive to cardiovascular risk factors such as aging, hypertension, and diabetes and have been proposed as prognostic markers for cardiovascular disease. In this work, we studied the relation betwee...

Machine learning is becoming a powerful tool to accurately predict temperature-dependent yield strengths (YS) of structural materials, particularly for multi-principal-element systems. However, successful machine-learning predictions depend on the use reasonable models. Here, we present comprehensive and up-to-date overview bilinear log model predicting YS medium-entropy or high-entropy alloys ...