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: Systems and methods for post transaction seasonal item recommendations are disclosed. In some embodiments, a current seasonal time window associated with a seasonal event and some seasonal product types is determined. Based on historical transaction data of the seasonal product types, a first seasonal index score is computed for each item, and a second seasonal index score is computed for each product type including one or more items. A seasonal rank score is generated for each item based on the first seasonal index score and the second seasonal index score, such that the items in the historical transaction data are ranked based on their respective seasonal rank scores. Based on the ranked items and a transaction order from a user, a list of recommended items is generated and displayed to the user.

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.

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: 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: 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: Systems and methods for a relationship-based search in a computing environment are provided. An example method includes providing a graph database. The graph database includes nodes representing workloads of the computing environment and edges representing relationships between the nodes. The method also includes enriching the graph database by associating the nodes with metadata associated with the nodes and the relationships. The method also includes receiving a user query including data associated with at least one of the metadata and the relationships. The method also includes determining, based on the user query, a subset of the nodes in the graph database and a subset of relationships between the nodes in the subset of the nodes. The method also includes displaying, via a graphical user interface, a graphical representation of the subset of the nodes and relationships between the nodes in the subset of the nodes.

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: The disclosure provides materials in the form of flavivirus variants that each encode a Non-Structural Protein-1 (NS1) variant, wherein the coding region is a chimera of at least two different NS1 coding regions, or wherein the coding region has at least one mutation in a codon of a canonical Asn-Xxx-Ser/Thr N-linked glycosylation site, wherein Asn is asparagine, Xxx is any amino acid, and Ser/Thr is either serine or threonine, or wherein the coding region is both a chimera and has at least one mutation in a codon of a canonical N-liked glycosylation site, wherein Asn is asparagine, Xxx is any amino acid, and Ser/Thr is either serine or threonine. The disclosure also provides methods of using such flavivirus variants to inhibit the transmission of infectious flavivirus.

Abstract: Systems and methods for a relationship-based search in a computing environment are provided. An example method includes providing a graph database. The graph database includes nodes representing workloads of the computing environment and edges representing relationships between the nodes. The method also includes enriching the graph database by associating the nodes with metadata associated with the nodes and the relationships. The method also includes receiving a user query including data associated with at least one of the metadata and the relationships. The method also includes determining, based on the user query, a subset of the nodes in the graph database and a subset of relationships between the nodes in the subset of the nodes. The method also includes displaying, via a graphical user interface, a graphical representation of the subset of the nodes and relationships between the nodes in the subset of the nodes.

Abstract: An integrated circuit (IC) design is accessed from a database in memory. The IC design comprises a route connecting a source to a sink. A set of buffering candidates for buffering are generated for the net. A timing improvement associated with a buffering candidate in the set of buffering candidates is determined using a first timing model. The buffering candidate is pruned from the set of buffering candidates based on the timing improvement and a cost associated with the buffering candidate. The pruned set of buffering candidates is evaluated using a second timing model, and a buffering solution for the net is selected from the pruned set of buffering candidates based on a result of the evaluating. The IC design is updated to include the buffering solution selected for the net.

Abstract: An integrated circuit (IC) design is accessed from a database in memory. The IC design comprises a routing topology for a net comprising interconnections between a set of pins. The IC design further comprises a set of candidate locations for inserting buffers. A set of cells from a cell library in memory is accessed. A candidate location from the set of candidate locations is assessed to determine whether at least one cell in the set of cells fits at the location. Based on determining that at least one cell in the set of cells fits at the candidate location, the location is marked as bufferable. A largest cell width that fits at the candidate location is determined based on the set of cells and a buffering solution is generated for the net using the largest cell width as a constraint on buffer insertion performed at the candidate location.