Abstract: The present invention relates to systems for providing noninvasive cranial nerve stimulation and methods for using the same. The present invention administers therapy through electrodes that are noninvasively attached to one or more of a subject's cranial nerve. The systems can be used to enhancing rehabilitation and recovery by improving neuroplasticity and coupling muscle training with feedback.

Abstract: A disclosed leaky coaxial resonant sensor system and methods. In use, the system includes at least one split-ring resonator (SRR) embedded within a material of the component. The at least one SRR is formed from a composite material. Additionally, the at least one SRR is configured to resonate at a first frequency in response to an interrogation signal from a leaky coaxial cable antenna. In some aspects, each SRR may resonate at a first frequency in response to an electromagnetic ping when the composite material is in a first state, and may resonate at a second frequency in response to the electromagnetic ping when the composite material is in a second state. A resonant frequency of the composite material may be based on physical characteristics of the composite material.

Abstract: An engine includes an engine main body including a first cylinder and a second cylinder, a first exhaust pipe that is connected to the engine main body, a second exhaust pipe that is connected to the engine main body, and an exhaust manifold including a first inlet portion connected to a first lead-out portion that is a downstream end of the first exhaust pipe, a second inlet portion connected to a second lead-out portion that is a downstream end of the second exhaust pipe, and a common outlet portion that leads out exhaust gas flowing in from the first inlet portion and the second inlet portion, in which the first lead-out portion and the second lead-out portion face each other with central axes of the first lead-out portion and the second lead-out portion aligning on a same line.

Abstract: This disclosure provides a reactor system that includes a microwave energy source that generates a microwave energy, a field-enhancing waveguide (FEWG) coupled to the microwave source. The FEWG includes a field-enhancing zone having a cross-sectional area that decreases along a length of the FEWG. The field-enhancing zone includes a supply gas inlet that receives a supply gas, a reaction zone that generates a plasma in response to excitation of the supply gas by the microwave energy, a process inlet that injects a raw material into the reaction zone, and a constricted region that retains a portion of the plasma and combines the plasma and the raw material in response to the microwave energy within the reaction zone. An expansion chamber is in fluid communication with the constricted region facilitates expansion of the plasma. An outlet outputs a plurality of carbon-inclusive particles derived from the expanded plasma and the raw material.

Abstract: A disclosed water droplet sensing system and methods using split-ring resonators, which may be embedded within a material. In use, a component includes at least one split-ring resonator (SRR) which may be embedded within a material of the component. The at least one SRR may be formed from a composite material. Additionally, the at least one SRR may be configured to form a signal that is correlated with a concentration of water proximate to the at least one SRR. In some aspects, each SRR may resonate at a first frequency in response to an electromagnetic ping when the material is in a first state, and may resonate at a second frequency in response to the electromagnetic ping when the material is in a second state. A resonant frequency of the material may be based on physical characteristics of the material (including fluid accumulation on the material).

Abstract: A disclosed apparatus includes sensors incorporated into adhesive material. In use, an apparatus may comprise an adhesive material and at least one split-ring resonator (SRR) disposed on or in the adhesive material. Additionally, the at least one SRR is formed from a carbon-containing material, and the adhesive material is a non-elastomeric material or a semi-rigid material. In some aspects, each SRR may resonate at a first frequency in response to an electromagnetic ping when the adhesive material is in a first state, and may resonate at a second frequency in response to the electromagnetic ping when the adhesive material is in a second state. A resonant frequency of the adhesive material may be based on physical characteristics of the adhesive material.

Abstract: A disclosed airborne vehicle includes split-ring resonators (split ring resonators), which may be embedded within a material. Each split ring resonator may be formed from a three-dimensional (3D) monolithic carbonaceous growth and may detect an electromagnetic ping emitted from a user device. Each split ring resonator may generate an electromagnetic return signal in response to the electromagnetic ping. The electromagnetic return signal may indicate a state of the material in a position proximate to a respective split ring resonator. In some aspects, each may resonate at a first frequency in response to the electromagnetic ping when the material is in a first state, and may resonate at a second frequency in response to the electromagnetic ping when the material is in a second state. A resonant frequency of the 3D monolithic carbonaceous growth may be based on physical characteristics of the material.

Abstract: A battery may include an anode, a cathode positioned opposite to the anode, a separator positioned between the anode and the cathode, an electrolyte dispersed throughout the cathode and in contact with the anode, and a dual-pore system. The anode may be configured to release a plurality of lithium ions. The cathode may include a plurality of pathways defined by a plurality of porous non-hollow carbonaceous spherical particles and may include a plurality of carbonaceous structures each based on a coalescence of a group of the porous non-hollow carbonaceous spherical particles. The dual-pore system may be disposed in the cathode and defined in shape and orientation by the plurality of carbonaceous structures. In some aspects, the dual-pore system may be configured to receive gaseous oxygen from the ambient atmosphere.

Abstract: Disclosed herein is a sensors-as-a-service ecosystem. In use, the system includes functions for receiving first sensor data at a sensors as a service platform, where the first sensor data corresponds to a first level of capabilities for a first sensor. The system also receives a selection of a sensor upgrade for the first sensor and provisions enhanced sensor capabilities for the sensor upgrade based on the selection. Furthermore, the system sends a sensor update with the enhanced sensor capabilities from the sensors as a service platform to the first sensor. Finally, the system receives second sensor data from the first sensor at the sensors as a service platform, where the second sensor data corresponds to a second level of capabilities for the first sensor.

Abstract: Resonant sensors for environmental health risk detection are disclosed. A mechanical member may include at least one meso-scale or micro-scale resonator disposed on a surface of the mechanical member. Additionally, the at least one meso-scale or micro-scale resonator may include a plurality of first carbon particles configured to uniquely resonate in response to an electromagnetic ping based at least in part on a concentration level of the first carbon particles within the at least one meso-scale or micro-scale resonator. Further, the at least one meso-scale or micro-scale resonator may be configured to resonate at a first frequency in response to the electromagnetic ping when the mechanical member is in a first state, and may be configured to resonate at a second frequency in response to the electromagnetic ping when the mechanical member is in a second state.

Abstract: A disclosed airborne vehicle includes split-ring resonators (split ring resonators), which may be embedded within a material. Each split ring resonator may be formed from a three-dimensional (3D) monolithic carbonaceous growth and may detect an electromagnetic ping emitted from a user device. Each split ring resonator may generate an electromagnetic return signal in response to the electromagnetic ping. The electromagnetic return signal may indicate a state of the material in a position proximate to a respective split ring resonator. In some aspects, each may resonate at a first frequency in response to the electromagnetic ping when the material is in a first state, and may resonate at a second frequency in response to the electromagnetic ping when the material is in a second state. A resonant frequency of the 3D monolithic carbonaceous growth may be based on physical characteristics of the material.

Abstract: Resonant sensors for environmental health risk detection are disclosed. A mechanical member may include at least one meso-scale or micro-scale resonator disposed on a surface of the mechanical member. Additionally, the at least one meso-scale or micro-scale resonator may include a plurality of first carbon particles configured to uniquely resonate in response to an electromagnetic ping based at least in part on a concentration level of the first carbon particles within the at least one meso-scale or micro-scale resonator. Further, the at least one meso-scale or micro-scale resonator may be configured to resonate at a first frequency in response to the electromagnetic ping when the mechanical member is in a first state, and may be configured to resonate at a second frequency in response to the electromagnetic ping when the mechanical member is in a second state.

Abstract: A resonant sensor is embedded within or applied to a component of a medical diagnostic apparatus. The resonant sensor is formed from a composite material. The resonant sensor undergoes a change of permittivity and/or change in permeability due to metabolic activity of a microorganism that is involved in the medical diagnostic and proximal to the resonant sensor. The medical diagnostic apparatus may be a blood culture bottle that is configured to contain a blood culture medium. The resonant sensor may be embedded in or applied to the exterior or interior wall of the blood culture bottle. The resonant sensor may undergo a change in permittivity and/or a change in permeability due to production of carbon dioxide by the microorganism. The composite material may comprise a carbonaceous material such as graphene.

Abstract: A battery-powered analyte sensing system includes a printed battery and an analyte sensor. The printed battery includes an anode composed of a non-toxic biocompatible metal, a first carbon-based current collector in electrical contact with the anode, a three-dimensional hierarchical mesoporous carbon-based cathode, a second carbon-based current collector, and an electrolyte layer disposed between the anode and the cathode, the electrolyte layer configured to activate the printed battery when the electrolyte is released into one or both the anode and the cathode. The analyte sensor includes a sensing material and a reactive chemistry additive in the sensing material.

Abstract: A sensing device configured to monitor a battery pack is disclosed. The sensing device may include a plurality of carbon-based sensors enclosed within the battery pack. Each sensor coupled may be between a corresponding pair of electrodes, and may include a plurality of 3D graphene-based sensing materials. In some instances, the 3D graphene-based sensing materials of a first sensor may be functionalized with a first material configured to detect a presence of each analyte of a first group of analytes, and the 3D graphene-based sensing materials of a second sensor may be functionalized with a second material configured to detect a presence of each analyte of a second group of analytes.

Abstract: A battery-powered analyte sensing system includes a printed battery and an analyte sensor. The printed battery includes an anode composed of a non-toxic biocompatible metal, a first carbon-based current collector in electrical contact with the anode, a three-dimensional hierarchical mesoporous carbon-based cathode, a second carbon-based current collector, and an electrolyte layer disposed between the anode and the cathode, the electrolyte layer configured to activate the printed battery when the electrolyte is released into one or both the anode and the cathode. The analyte sensor includes a sensing material and a reactive chemistry additive in the sensing material.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.