Researchers at the University of California, Davis (“UC Davis”) have developed a unisex swimwear garment designed to prevent swimming-related injuries and to assist in injury recovery during training.

Polymer electrolyte membrane (PEM) electrolyzers have received increasing attention for renewable hydrogen production through water splitting. In order to develop such electrolyzers, it is necessary to understand and model the flow of liquids, gases, and ions through the PEM. An advancedmulti-dimensional multi-physics model is established for PEM electrolyzer to describe the two-phase flow, electron/proton transfer, mass transport, and water electrolysis kinetics.

Researchers from UC San Diego and Oregon Health Science Univeristy developed a microelectrode grid for continuous interoperative neuromonitoring. The microelectrode grid includes a flexible substrate with low impedance electrochemical interface materials on conducting metal pads. The metal pads are connectable to stimulation/acquisition electronics through metal lead interconnects forming stimulation and recording channels and eventually to bonding pads. A flap within the substrate is movable away from the remainder of the substrate while at least some of the metal pads on the remainder of the substrate can remain in contact with an organ when the flap is moved away from the remainder of the substrate.

Professor Kendrick Davis and colleagues from the University of California, Riverside have developed measurement and mapping survey technology that is easy to use, pictorial based, and written by a design that ensures present and ongoing scale validation with Unicode for standardization across virtually all electronic platforms. The emoji-based measurement system (Eb-MS) consists of a linked/connected set of tables organized by three master sets, and sets of linked tables as domain families (i.e., Medicine, Education, etc.) This technology is advantageous because it may facilitate effective communication with individuals with certain health situations, such as stroke, brain injury, or vocal impairments, or with language barriers. 

It is well known that the communication capacity of wireless networks is limited by interference. Depending on the strength of the interference, there are three conventional approaches to this problem. If the interference is very strong, then the receiver can decode the interfering signal and subtract from the desired signal using successive interference cancelation. If the interference signal is very weak compared to the desired signal, it can be treated as noise. The third and most common possibility is when the interference is comparable with the desired signal. In this case the interference can be avoided by orthogonalizing it with the desired signal using techniques such as time division multiple access (TDMA) or frequency division multiple access (FDMA). In addition to interference, wireless networks also experience channel fading. Conventional approaches to wireless networking attempt to combat fading. Depending on the coherence time of the fading, various approaches have been used. For example, fast fading may be mitigated by the use of diversity techniques, interleaving, and error-correcting codes. Certain diversity techniques, such as the use of multiple antennas, has been shown to help combat fading as well as increase multiplexing gain and system capacity. Multiuser diversity scheme is a technique to increase the capacity of wireless networks using multiple antennas at the base station. In this approach the base station selects a mobile device that has the best channel condition, maximizing the signal-to-noise ratio (SNR). According to some implementations of this approach, K random beams are constructed and information is transmitted to the users with the highest signal-to-noise plus interference ratio (SINR). Searching for the best SINR in the network, however, requires feedback from the mobile devices that scales linearly with the number of users. These implementations also use beamforming, which is complex to implement. In addition, the cooperation requirement is substantial.

This technology revolutionizes human pose recognition by overcoming dataset and environmental limitations.

Brief description not available

Researchers at the University of California, Davis have developed a sensor for measuring food spoilage of nuts, seeds, and oils. It measures volatile organic compounds as a biomarker of food spoilage through a simple device in only three minutes.