Abstract: Disclosed are devices, systems and methods for neural signal detection of immune responses. In some aspects, a system includes a processing unit: a receiving unit configured to receive at least one sensor signal from a wearable sensor, where the wearable sensor is configured to detect at least one neural signal of a patient; and a tangible non-transitory computer readable medium having instructions configured to cause the processing unit to automatically receive a data signal from the receiving unit, automatically detect an immune response based at least in part on the data signal, automatically create a notification based at least in part on the immune response, and automatically present the notification to a user of the system.

Abstract: Systems, methods, and computer program products are provided for disparate quantum computing (QC) detection. An example system includes QC detection data generation circuitry configured to generate a set of QC detection data. The example system further includes cryptographic circuitry configured to distort the set of QC detection data via a first PQC cryptographic technique, generate a pair of asymmetric cryptographic keys comprising a public cryptographic key and a private cryptographic key via a second PQC cryptographic technique, generate encrypted QC detection data from the distorted set of QC detection data based on the pair of asymmetric cryptographic keys, and destroy the private cryptographic key. The example system further includes data monitoring circuitry configured to monitor a set of data environments for electronic information related to the encrypted QC detection data.

Abstract: Some embodiments of the invention provide a method of deploying a tenant deployable element to one public cloud. The method identifies first and second candidate resource elements respectively of first and second resource element sub-types to deploy in a public cloud to implement the tenant deployable element. The method identifies, for the first and second candidate resource elements respectively first and second sets of performance metric values to evaluate. The method evaluates the identified first and second sets of metrics to select one candidate resource element to implement the tenant deployable element in the public cloud. The method uses the selected resource element to implement the tenant deployable element in the public cloud.

Abstract: Various systems and methods are provided for quantum computing based optimization of a personalized portfolio. One exemplary method may comprise identifying one or more filtered personalized portfolio optimization factor data based on one or more optimization factor data for the personalized portfolio, personalized portfolio owner feedback, QC algorithms, and algorithm performance information, selecting one QC algorithm for each filtered portfolio optimization factor data of the one or more filtered portfolio optimization factor data, utilizing the selected QC algorithm to optimize a personalized portfolio determination for each identified filtered personalized portfolio optimization factor data, and rebalancing the personalized portfolio based on the personalized portfolio determination.

Abstract: Various systems and methods are provided for quantum computing based optimization of a personalized portfolio. One exemplary method may comprise identifying one or more filtered personalized portfolio optimization factor data based on one or more optimization factor data for the personalized portfolio, personalized portfolio owner feedback, QC algorithms, and algorithm performance information, selecting one QC algorithm for each filtered portfolio optimization factor data of the one or more filtered portfolio optimization factor data, utilizing the selected QC algorithm to optimize a personalized portfolio determination for each identified filtered personalized portfolio optimization factor data, and rebalancing the personalized portfolio based on the personalized portfolio determination.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for post-quantum cryptography (PQC). An example system includes a PQC smartcard. The smartcard may include a PQC cryptographic algorithm selection circuitry configured to select a PQC cryptographic technique from a set of PQC cryptographic techniques for encrypting the data. The smartcard may further include a PQC cryptographic circuitry configured to encrypt data based on a generated set of PQC encryption attributes and the PQC cryptographic technique.

Abstract: Deflection spring compression mounting is disclosed. A disclosed example deflection spring for an electronics package includes first and second end portions having first and second locking interfaces, respectively, to at least partially constrain the first and second end portions relative to a support, a curved portion, and a medial portion having a third locking interface to fix the medial portion relative to the support, wherein fixing the medial portion relative to the support causes the curved portion to contact and press against the electronics package.

Abstract: In some implementations, a first wireless device may determine that a leader selection process has been initiated regarding data of a first type for a cluster of wireless devices comprising a plurality of wireless devices in range of wireless communication with one another, including the first wireless device. The first wireless device may, responsive to determining that the leader selection process has been initiated, acquire first data of the first type and may send the first data of the first type to one or more other wireless devices of the cluster. Sending the first data of the first type may be responsive to a determination that the first wireless device has not received any other data of the first type from the one or more other wireless devices of the cluster subsequent to determining that the leader selection process has been initiated.

Abstract: Methods and systems are provided for diagnosing early stages of inflammatory bowel disease (IBD), IBD severity predictions, and the preventions of invasive cancers associated with IBD. Deep learning methods are used for accurate histologic assessment of IBD in one or more target patients. In aspects, IBD associated dysplasia and adenocarcinoma is detected from histopathology data. For example, a deep learning model is modified and trained using a training data set comprising histopathology images to enable Bayesian deep learning. In aspects, the training data set may be labeled based on genetic and immunologic factors. A target patient can be diagnosed as having IBD at a particular severity level based on an output by the deep learned model. Additionally, a care plan for the target patient may be determined, organized, or modified based on the output provided by the deep learned model.

Abstract: Systems and methods used to perform touchless 3D scanning of a patient’s face in the prone position are disclosed. In some embodiments, the systems include a rotatable 3D scanning device to capture 3D spatial data points of the patient’s face and a reference frame. 3D digital mesh models are generated from the 3D spatial data points. A patient 3D digital mesh model is registered with a patient 3D model and a reference frame digital mesh model is registered with a reference frame 3D model. The 3D scanning device can include a handheld rotatable 3D scanner member or a mechanically rotatable 3D scanner member.

Abstract: The present invention discloses a secure shutdown system to control a surface valve and a subsurface valve that are mounted to a wellbore. A housing is provided in which is mounted a manual hydraulic pump, a reset panel control switch, and a hydraulic switch controlled by a programmable logic controller. The reset switch is normally operable to move the hydraulic switch to a position to allow the manual hydraulic pump to open the subsurface valve. The programmable logic controller being configured to be responsive to a security shutdown signal to prevent operation of the reset panel control switch. The programmable logic controller is programmed to normally operate with less than ten microamperes.

Abstract: Examples of a textual entailment generation system are provided. The system obtains a query from a user and implements an artificial intelligence component to identify a premise, a word index, and a premise index associated with the query. The system may implement a first cognitive learning operation to determine a plurality of hypothesis and a hypothesis index corresponding to the premise. The system may generate a confidence index for each of the plurality of hypothesis based on a comparison of the hypothesis index with the premise index. The system may determine an entailment value, a contradiction value, and a neutral entailment value based on the confidence index for each of the plurality of hypothesis. The system may generate an entailment result relevant for resolving the query comprising the plurality of hypothesis along with the corresponding entailed output index.

Abstract: Methods and apparatus to optimize ramp rates in combined cycle power plants are disclosed herein. An example method disclosed herein includes predicting a first setpoint for a gas turbine in a combined cycle power plant over a prediction horizon and predicting a second setpoint for a steam generator over the prediction horizon. The example method includes identifying a first steam property of steam generated by the steam generator in the combined cycle power plant based on the second setpoint. The example method includes comparing the first steam property to a second steam property of steam associated with a steam turbine in the combined cycle power plant and dynamically adjusting at least one of the first setpoint or the second setpoint based on the comparison.

Abstract: In an example, physiological signal(s) are received from physiological sensor(s) configured to measure at least one physiological property of a user. An arousal of at least one characteristic of at least one treatment resistant mood disorder is detected through employment of an estimation method based at least in part on at least one of the physiological signal(s). A value for at least one of a plurality of stimulation parameters is selected based at least in part on at least one of the physiological signal(s). An electric field based at least in part on the arousal is produced. The electric field is configured to stimulate at least a portion of a median nerve of the user transcutaneously. The electric field is based at least in part on at least some of the plurality of stimulation parameters.

Abstract: The present invention discloses a secure shutdown system to control a surface valve and a subsurface valve that are mounted to a wellbore. A housing is provided in which is mounted a manual hydraulic pump, a reset panel control switch, and a hydraulic switch controlled by a programmable logic controller. The reset switch is normally operable to move the hydraulic switch to a position to allow the manual hydraulic pump to open the subsurface valve. The programmable logic controller being configured to be responsive to a security shutdown signal to prevent operation of the reset panel control switch. The programmable logic controller is programmed to normally operate with less than ten microamperes.

Abstract: A system includes an implanted autonomous microchiplet communicatively linked to an epidermal skinpatch having a transceiver and a demodulator, an intermediate device communicatively linked to the epidermal skinpatch, the intermediate device configured to receive neural signals for decoding from the epidermal skinpatch and to send encoded signals for patterned stimulation to the epidermal skinpatch, and one or more external devices communicatively linked to intermediate device.

Abstract: Methods, systems, and storage media for dynamic allocation of communication channels among multiple wireless networks are disclosed. The example embodiments may provide interference mitigation and control among a plurality of wireless protocols operating in an environment. Other embodiments may be disclosed and/or claimed.

Abstract: Examples of a textual entailment generation system are provided. The system obtains a query from a user and implements an artificial intelligence component to identify a premise, a word index, and a premise index associated with the query. The system may implement a first cognitive learning operation to determine a plurality of hypothesis and a hypothesis index corresponding to the premise. The system may generate a confidence index for each of the plurality of hypothesis based on a comparison of the hypothesis index with the premise index. The system may determine an entailment value, a contradiction value, and a neutral entailment value based on the confidence index for each of the plurality of hypothesis. The system may generate an entailment result relevant for resolving the query comprising the plurality of hypothesis along with the corresponding entailed output index.

Abstract: Methods and apparatus to optimize ramp rates in combined cycle power plants are disclosed herein. An example method disclosed herein includes predicting a first setpoint for a gas turbine in a combined cycle power plant over a prediction horizon and predicting a second setpoint for a steam generator over the prediction horizon. The example method includes identifying a first steam property of steam generated by the steam generator in the combined cycle power plant based on the second setpoint. The example method includes comparing the first steam property to a second steam property of steam associated with a steam turbine in the combined cycle power plant and dynamically adjusting at least one of the first setpoint or the second setpoint based on the comparison.

Abstract: Methods and apparatus to optimize ramp rates in combined cycle power plants are disclosed herein. An example method disclosed herein includes predicting a first setpoint for a gas turbine in a combined cycle power plant over a prediction horizon and predicting a second setpoint for a steam generator over the prediction horizon. The example method includes identifying a first steam property of steam generated by the steam generator in the combined cycle power plant based on the second setpoint. The example method includes comparing the first steam property to a second steam property of steam associated with a steam turbine in the combined cycle power plant and dynamically adjusting at least one of the first setpoint or the second setpoint based on the comparison.