GANTRY ROBOT FOR CHARGING MULTIPLE ELECTRIC VEHICLES

An overhead gantry robotic system moves a Wireless Power Transfer (WPT) coil across a row of parking spaces in a parking structure. The system detects a vehicle to be charged, adjusts the position of the primary coil over the vehicle, and lowers the primary coil into proximity of a receiver coil in the top of the vehicle

GROUND ROBOT FOR CHARGING MULTIPLE ELECTRIC VEHICLES

A low profile robotic system moves a Wireless Power Transfer (WPT) primary coil under a row of vehicles in a parking lot. The system positions itself underneath an Electric Vehicle (EV), adjusts the position of its primary coil to align with the receiver coil under the vehicle, and transfers a sufficient quantity of energy to charge the vehicle. Once charging is complete, the robot moves down the row of parked vehicles to charge additional vehicles

PREDICTING 5G USAGE AND RESOURCE CONTENTION THROUGH REAL-TIME MASS TRANSIT AND TRAFFIC MAPPING

Internet of Things (IoT) and sensor fusion techniques may be used to collect data about the current positions and anticipated movements of wireless subscribers, thus enabling fifth-generation (5G) networks to proactively avoid overloads by modifying their capacities and coverage patterns. Data may be collected, for example, from mass transit systems, smart highway systems, smart buildings, security cameras, 5G networks themselves, and other sources, and machine learning techniques may be applied to generate maps of anticipated load patterns. As a result, the 5G networks may then be adjusted to address overloads in various manners, such as by adjusting the service bandwidth, by realigning antennas and multiple in, multiple out (MIMO) systems, by dispatching mobile cells, etc

HUMAN USAGE DESCRIPTION FOR 5G NETWORK ENDPOINTS

Just as Manufacturers Usage Description (MUD) defines security and access control for “things,” Human Usage Description (HUD) does the same for humans by associating a user and all of their devices in a database. With such a database, a 5G provider has insights into user behavior on the network in context with the user device. This allows for more accurate Quality of Experience (QoE) and network slicing at the user device level, common licensing and security across multiple devices, next generation media consumption, and revenue generation through targeted advertising

COGNITIVE CLOUD COLLABORATION

Techniques are described for using a cognitive learning instance to learn a user\u27s preferences across a wide range of cloud collaboration services and provide a customized user experience. This customized user experience is then leveraged on the back-end for optimizing cloud resources

Evaluation of the NRF1-proteasome axis as a therapeutic target in breast cancer

Abstract Proteasomes are multi-subunit complexes that specialize in protein degradation. Cancer cells exhibit a heightened dependence on proteasome activity, presumably to support their enhanced proliferation and other cancer-related characteristics. Here, a systematic analysis of TCGA breast cancer datasets revealed that proteasome subunit transcript levels are elevated in all intrinsic subtypes (luminal, HER2-enriched, and basal-like/triple-negative) when compared to normal breast tissue. Although these observations suggest a pan-breast cancer utility for proteasome inhibitors, our further experiments with breast cancer cell lines and patient-derived xenografts (PDX) pointed to triple-negative breast cancer (TNBC) as the most sensitive subtype to proteasome inhibition. Finally, using TNBC cells, we extended our studies to in vivo xenograft experiments. Our previous work has firmly established a cytoprotective role for the transcription factor NRF1 via its ability to upregulate proteasome genes in response to proteasome inhibition. In further support of this notion, we show here that NRF1 depletion significantly reduced tumor burden in an MDA-MB-231 TNBC xenograft mouse model treated with carfilzomib. Taken together, our results point to TNBC as a particularly vulnerable breast cancer subtype to proteasome inhibition and provide a proof-of-principle for targeting NRF1 as a viable means to increase the efficacy of proteasome inhibitors in TNBC tumors

GNU Radio

GNU Radio is a free & open-source software development toolkit that provides signal processing blocks to implement software radios. It can be used with readily-available, low-cost external RF hardware to create software-defined radios, or without hardware in a simulation-like environment. It is widely used in hobbyist, academic, and commercial environments to support both wireless communications research and real-world radio systems