Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

Abstract: Provided herein are methods, systems, and compositions for efficient nucleic acid assembly with improved representation and distribution. Provided herein are methods, systems, and compositions for efficient nucleic acid assembly of nucleic acids encoding genes for use in various downstream processes.

Abstract: A system, apparatus, method, and non-transitory computer readable medium for performing image search verification using an online platform may include a memory storing computer readable instructions and a database corresponding to a neural network associated with the online platform, and processing circuitry configured to execute the computer readable instructions. The processing circuitry may cause the server to receive an image-based search query from a first user device, the image-based search query including at least one image including a search object, and search query parameters related to the search object, analyze the search object using the neural network to determine an object type of the search object and at least one object type specific characteristic of the search object, and receive at least one search result response from at least one second user device.

Abstract: The present disclosure provides acoustic and natural language processing (NLP) models for predicting whether a subject has a behavioral or mental health state of interest based at least in part on input speech from said subject.

Abstract: The present disclosure provides acoustic and natural language processing (NLP) models for predicting whether a subject has a behavioral or mental health state of interest based at least in part on input speech from said subject.

Abstract: A method includes: obtaining a task definition for a mobile robot, the task definition including (i) a position on an item support carried by the mobile robot, and (ii) an identifier of an item to be placed at the position to form a unit load with the item support; controlling the mobile robot carrying the item support to travel to a pick location for receiving the item from a picker; controlling an output device to render an indication of the position for the picker at the pick location; responsive to placement of the item at the position by the picker, controlling the mobile robot to travel to a handling location.

Abstract: Embodiments of the present disclosure relate to devices and methods for filling a medicament cartridge of a pump, including a user-wearable, ambulatory infusion pump. A vial adapter can be provided that can releasably secure a medicament cartridge and a vial of medicament. A fill rod can be releasably attached to a plunger of the medicament cartridge. A user can hold the vial adapter, with the medicament cartridge and vial secured thereto, in one hand and operate the fill rod with the other hand to fill the medicament cartridge with medicament from the vial.

Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

Abstract: A network computer system and method are provided in which each user of a group of users is monitored during a respective online session where the user performs a sequence of M activities, to selectively engage users of the group. A determination is made as to the impact of friction for each user of the group of users with respect to an intention of the respective user, and an action is performed for the user based at least in part on the determined impact of friction.

Abstract: An exemplary system and method employing physiological sensor fusion and trained artificial intelligence models to predict/estimate a time-to-completion for a user undergoing a structured activity. The time-to-completion may be determined at a given segment of the activity as defined only by the physiological sensor measurement. The exemplary system and method may provide individualized fitness information for a customized military training regimen or athlete programs, to provide comprehensive and localized snapshots of physical performance based on the entire history of the event/activity.

Abstract: In one embodiment, a method includes accessing a window of motion data collected by a motion sensor of a device worn by a user and selecting motion data in the window about or more particular axes of the motion sensor. The method further includes determining a ballistocardiogram (BCG) signal in the selected motion data and determining whether the BCG signal in the selected motion data satisfies a signal-quality metric. If the BCG signal in the selected motion data satisfies the signal-quality metric, then the method includes (1) determining one or more heart-beat metrics of the user from the selected motion data; and (2) estimating, based on the one or more determined heart-beat metrics, a stress condition of the user at a time coincident with the window of motion data.

Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

Abstract: Described in several embodiments herein are olfactory sensory neuron (OSN) derived extracellular vehicles (EVs), formulations thereof, and uses thereof. In some embodiments, the OSN derived extracellular vesicles are effective to increase the growth of neurons during regeneration. In some embodiments, the OSN derived EVs and/or formulations thereof are used to promote nerve regeneration, particularly peripheral nerve regeneration, and to treat nerve injury.

Abstract: There is an essential need to identify and develop new compounds and/or agents that can be used to enhance neuronal regrowth. Described in several embodiments herein are delta protocadherin compositions that can include a delta protocadherin gene or gene product. Also described herein are methods of making and using the same, particularly for treatment of a neurologic and/or neurovegetative disease, disorder, condition, nerve injury, and/or a symptom thereof.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for generating dynamic machine readable codes. In one embodiment, a system is introduced that enables the analysis of user information for the generation of the dynamic machine readable code. In response to the analysis, using middleware on a multi-tier system, user information is embedded onto the dynamic machine readable code. The embedded user information can be captured during the transaction enabling the presentation of customized content which can be used to provide a user friendly interface for the transacting while detecting incorrect account usage. In another embodiment, in conjunction with the dynamic machine readable code, additional user and/or device features are captured during the processing of a transaction such that the combination facilitate fraudulent activity detection.

Abstract: Methods and system for determining the oral microbiome composition of a subject and determining health outcomes are disclosed. In various embodiments, oral samples from subjects may be processed to generate oral microbial sequencing data, which is then analyzed with behavioral and/or clinical factors to predict health outcomes for the subject. Intervention plans based on the predicted health outcomes can also be generated for adaption by the subjects.

Abstract: A method includes: receiving a data signal (DQ) and a clock signal (DQS); generating an indicator signal by: delaying the data signal (DQ) to generate a delayed data signal (DQ?); sampling the data signal (DQ) and the delayed data signal (DQ?) using an edge of the clock signal (DQS) to generate a first sampled value and a second sampled value; and generating the indicator signal based on the first sampled value and the second sampled value; and adjusting one or more of a DQ adjustable delay line associated with the data signal (DQ) and a DQS adjustable delay line associated with the clock signal (DQS) based on the indicator signal to synchronize the data signal (DQ) and the clock signal (DQS).

Abstract: A system, apparatus, method, and non-transitory computer readable medium for performing image search verification using an online platform may include a memory storing computer readable instructions and a database corresponding to a neural network associated with the online platform, and processing circuitry configured to execute the computer readable instructions. The processing circuitry may cause the server to receive an image-based search query from a first user device, the image-based search query including at least one image including a search object, and search query parameters related to the search object, analyze the search object using the neural network to determine an object type of the search object and at least one object type specific characteristic of the search object, and receive at least one search result response from at least one second user device.

Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.