Abstract: A communications network system including antenna elements and a processor coupled with the antenna elements, the processor executing instructions to perform operations including establishing a first data communication link over a first frequency band between the CPU and the first AP of a first group of APs, causing the first AP to establish a second data communications link over a second frequency band between the first AP and a first UE, transmitting, via beamforming by the antenna elements, data to the first AP over the first data communications link, the data configured to be relayed via the first AP to the first UE over the second data communications link, obtaining an end-to-end data rate of the data communication between the CPU and the first UE, and achieving a higher end-to-end data rate than the obtained end-to-end data rate by adjusting beamforming vectors.

Abstract: A system for measuring a membrane potential is disclosed. The system comprises a photoacoustic probe including a laser and an ultrasound transducer. The laser is configured to emit a light signal at one or more wavelengths to a neuronal cell. The neuronal cell may comprise a voltage-sensitive protein configured to absorb the light signal in a voltage-dependent manner. The ultrasound transducer is configured to receive a photoacoustic signal from the voltage-sensitive protein in response to absorbing the light signal. The system further comprises a processor configured to receive the photoacoustic signal from the ultrasound transducer and calculate a membrane potential of the neuron based on the photoacoustic signal. Methods of measuring a membrane potential and biomaterials related to the voltage-sensitive protein are also disclosed herein.

Abstract: A system and method for the solvent-free fabrication of a battery electrode is disclosed. The method includes forming a dry powder bed on top of a current collector by dispensing an electrode powder directly onto the current collector as a dry powder bed. The method also includes compressing the dry powder bed and the current collector together using a heat-roll press, resulting in an electrode film adhered to the current collector forming the battery electrode. Dispensing the electrode powder may include using a powder dispensing unit having a powder supply sieve suspended within an outer frame by springs and holding the electrode powder, as well as vibrating the powder supply sieve such that the electrode powder passes through the powder supply sieve. The powder supply sieve may have a mesh size such that the sieve holds the electrode powder when the powder supply sieve is motionless.

Abstract: A Deep Geometric Moment framework (DGM framework) may be trained to perform an image classification task using a training dataset having a plurality of images. Training the DGM framework may include generating 2D coordinate grids for the plurality of images and computing coordinate bases. The training may further include extracting image features for the plurality of images and computing geometric moments for the image features. Training the DGM framework may include generating predicted affine transformation parameters to transform the 2D coordinate bases into a transformed coordinate grid and generating new coordinate bases and new geometric moments learned from the image features to reconstruct the plurality of images using the transformed coordinate grid. The DGM framework may output an Artificial Intelligence model (AI model) trained to perform the image classification task for an input image.

Abstract: A system and method for the automatic stimulation of a vagus nerve for post-stroke rehabilitation is disclosed. The system includes an application subsystem having an electrode positioned to stimulate the vagus nerve and coupled to a user outside of a surgical setting. The system also includes a waveform generator communicatively coupled to the electrode, and a triggering subsystem including a receiver configured to detect the presence of a tag. The triggering subsystem is communicatively coupled to waveform generator and is configured to automatically trigger the stimulation of the vagus nerve upon detecting the presence of the tag. The tag is located proximate a rehabilitation context such that the tag is detected when the user is using the rehabilitation context, resulting in the vagus nerve of the user being automatically stimulated by the electrode in response to the user's post-stroke rehabilitation training.

Abstract: A sterilization system includes a controller, a transformer including a primary side in communication with the controller and secondary side, an ozone generator in communication with the secondary side of the transformer and the controller, and a power source in communication with the controller, wherein the ozone generator ionizes atmospheric oxygen through the application of corona discharge.

Abstract: Predictive modeling of peptide binding motifs of major histocompatibility complex class I (MHC-I) is employed through the application of a predictive machine learning (ML) model. The predictive ML model can utilize structural and biophysical data obtained by modeling the physical structure of the binding pocket of the MHC-I and generating an electrostatic potential distribution of the binding pocket structural model. By utilizing the structural an biophysical data of the binding pocket of the MHC-I, the predictive ML model predicts the amino acid sequence of the peptide binding motif of the MHC-I.

Abstract: Hybrid in-situ and signal of opportunity (SoOP) calibration for antenna arrays is provided. Deployment of aircraft antennae is redesigned to support multiple services with shared physical elements that conform to the exterior of an aircraft to mitigate drag. Conformal arrays are, however, susceptible to structural changes in the fuselage that manifest as pointing errors and side lobe degradation. Embodiments provide an online calibration algorithm that leverages cooperative satellites in direct line-of-sight of a radio frequency (RF) device with an antenna array (e.g., an aircraft with a conformal antenna array) to optimally steer beams. These external calibration sources supplement an in-situ source mounted on a common platform with the antenna array (e.g., placed on the aircraft's tail). Models are established for potential sources of mismatch and the hybrid calibration method is demonstrated via simulations.

Abstract: A robotic ankle system provides an assistive force for the heel-up portion of a user gait. Energy is stored in a spring responsive to a heel-on portion of the gait, and then released as the heel-up portion begins. In this manner, the gait of a user is assisted. The systems and methods are of particular use for those affected by stroke or in connection with rehabilitation activities.

Abstract: Systems & methods for sorting single-walled carbon nanotubes (SWNTs) using an iDEP-based sorting device. The device includes an inlet channel with a constriction and the inlet channel splits into multiple different channels after the constriction—the multiple channels includes a center channel and at least one side channel. A sample is introduced into the iDEP sorting device containing a plurality of SWNTs of different lengths suspended in a fluid. An electrical field is applied to the sample between a first electrode in the center channel and a second electrodes at a proximal end of the inlet channel. The applied electrical field causes longer SWNTs to move towards the side channels while the shorter SWNTs move towards the center channel. Accordingly, a first plurality of shorter SWNTs is then collected from the center channel and a second plurality of longer SWNTs is collected from the at least one side channel.

Abstract: A micro-colorimetric sensor for sensing target chemicals using edge tracking includes a substrate. A plurality of parallel linear channels of porous media is entrenched into the substrate and each linear channel includes a sensing material adapted to sense one of several specific target chemicals in air. The plurality of parallel linear channels is separated by barrier material from the adjacent parallel linear channel where the barrier material blocks diffusion of chemicals from one linear channel to another. A plate is affixed over the substrate top to cover the plurality of parallel linear channels. An air sample is diffused along the micro-colorimetric sensor and color images are captured. An intensity profile is derived from the plurality of color images to determine a maximum and a minimum intensity value along the sensor. A plurality of positions along the sensor is tracked to determine an edge position.

Abstract: Systems and methods for using machine learning to improve disease diagnostics are provided. A method can include obtaining, using a peptide array, peptide sequence data and peptide binding values from one or more samples, wherein the peptide sequence data and the peptide binding values correspond to a plurality of conditions; for each of the one or more samples, normalizing the peptide binding values according to a median binding value of peptides associated with the peptide array; and training a regressor using dense compact representations of the peptide sequence data and peptide binding values. The method can further include providing an output of the regressor to a classifier, wherein the classifier is configured to determine whether the patient has one of the plurality of conditions based on the output of the regressor.

Abstract: A solid oxide fuel cell (SOFC) and method for fabricating the same is disclosed. The SOFC includes an anode layer, an electrolyte layer deposited on the anode layer, and a plurality of microstructures deposited on the electrolyte layer. Each microstructure includes a plurality of layers of microstructure ink including a microstructure material. The SOFC also includes a cathode layer deposited on the electrolyte layer and the plurality of microstructures. Each microstructure may be shaped like a frustum having a first and second base. The first base is substantially parallel to the second base. The method includes depositing the electrolyte layer on the anode layer, constructing the plurality of microstructures on the electrolyte layer by printing a plurality of layers of microstructure ink directly on to the electrolyte layer using an inkjet printing system, then depositing a cathode layer upon the electrolyte layer and the plurality of microstructures.

Abstract: Provided herein are methods of detecting cannabinoid molecules in a sample. The methods include contacting the sample with a plurality of plasmonic metal nanoparticles (MNPs) that are conjugated with at least two sets of antibodies, or antigen binding portions thereof, that binds to at least first and second epitopes of the cannabinoid molecule under conditions sufficient for the antibodies, or the antigen binding portions thereof, to bind to the first and second epitopes of the cannabinoid molecule in the sample to produce bound cannabinoid molecules. The methods also include detecting the cannabinoid molecules when aggregations of MNPs coated with the target cannabinoid molecules form by connecting with one another. Related compositions, reaction mixtures, devices, kits, and systems are also provided.

Abstract: Localized electrochemical deposition (LECD) is provided. The aim of LECD is to create a patterned electrodeposited metal layer on a cathode without the use of pre-deposition patterning steps. In embodiments described herein, an LECD device includes a cathode (a material to be plated) placed sufficiently close to a formation anode in a metal electrolyte chemical bath. The LECD device is then activated electrically in solution. An electric field created by the formation anode determines the locations of metal deposition, providing a localized deposition without need for photolithography or other masking of the material to be plated.

Abstract: A polarimetric metastructure is disclosed that includes a metasurface structure, one or more vertically coupled double-layer metallic gratings, and a dielectric spacer layer between the metasurface structure and the vertically coupled double-layer metallic gratings.

Abstract: An unmanned aerial vehicle (UAV) for gas transport is disclosed. The UAV includes a fuselage enclosing a volume, and a gas reservoir enclosed within the fuselage, filling at least a majority of the volume. The gas reservoir is configured to receive and store a gas at a pressure no greater than 100 bar. The UAV also includes a propulsion system having at least one engine, each of the at least one engine coupled to a prop that is driven by the at least one engine using energy derived from the gas stored in the gas reservoir. The UAV also includes a control system communicatively coupled to the propulsion system and configured to operate the unmanned aerial vehicle to autonomously transport the gas. The UAV may have a footprint while on the ground, and the footprint of the UAV may be no larger than three standard parking spaces.

Abstract: A system and method for clock distribution in a digital circuit. In some embodiments, the method, includes: modifying a synchronous digital logic circuit, the modifying including: replacing a first D flipflop in the circuit with a local-clocking source flipflop; and connecting a clock output of the local-clocking source flipflop to a clock input of a second D flipflop, wherein the replacing and connecting increases an objective function, the objective function being based on the number of high drive strength cells in a logic cone preceding the second D flipflop.

Abstract: Elastomeric actuators and methods of making the same are provided herein. In some examples, an actuator includes a body comprising a plurality of pairs of frustums, wherein the body is configured to receive a fluid to extend the actuator and to remove the fluid to contract the actuator. In some examples, each pair of frustums includes two thin frustum shells sharing a common base circle diameter.

Abstract: In accordance with some embodiments of the disclosed subject matter, systems, methods, and media for automatically transforming a digital image into a simulated pathology image are provided. In some embodiments, the method comprises: receiving a content image from an endomicroscopy device; receiving, from a hidden layer of a convolutional neural network (CNN) trained to recognize a multitude of classes of common objects, features indicative of content of the content image; receiving, providing a style reference image to the CNN; receiving, from another hidden layer of the CNN, features indicative of a style of the style reference image; receiving, from the hidden layers of the CNN, features indicative of content and style of a target image; generating a loss value based on the features of the content image, the style reference image, and the target image; minimizing the loss value; and displaying the target image with the minimized loss.