Abstract: In one embodiment, a method includes receiving a user request to automatically debug a natural-language understanding (NLU) model, accessing a plurality of predicted semantic representations generated by the NLU model, wherein the plurality of predicted semantic representations are associated with a plurality of dialog sessions, respectively, wherein each dialog session is between a user and an assistant xbot associated with the NLU model, generating a plurality of expected semantic representations associated with the plurality of dialog sessions based on an auto-correction model, wherein the auto-correction model is learned from dialog training samples generated based on active learning, identifying incorrect semantic representations of the predicted semantic representations based on a comparison between the predicted semantic representations and the expected semantic representations, and automatically correcting the incorrect semantic representations by replacing them with respective expected semantic repre

Abstract: Systems, methods, apparatuses, and computer program products for recognizing human emotion in images or video. A method for recognizing perceived human emotion may include receiving a raw input. The raw input may be processed to generate input data corresponding to at least one context. Features from the raw input data may be extracted to obtain a plurality of feature vectors and inputs. The plurality of feature vectors and the inputs may be transmitted to a respective neural network. At least some of the plurality of feature vectors may be fused to obtain a feature encoding. Additional feature encodings may be computed from the plurality of feature vectors via the respective neural network. A multi-label emotion classification of a primary agent may be performed in the raw input based on the feature encoding and the additional feature encodings.

Abstract: Systems and methods of Exact Data Matching (EDM) for identifying related tokens in data content using structured signature data implemented in a cloud-based system receiving data sets and customer configuration from a customer, wherein the data sets include customer specific sensitive data from a structured data source with each token represented by a hash value and the customer configuration includes one or more primary keys for a plurality of records in the data sets; distributing the data sets and the customer configuration to a plurality of nodes in the cloud-based system; performing monitoring of content between a client of the customer and an external network; detecting a presence of a plurality of tokens associated with a record in the customer specific sensitive data based on the monitoring; and performing a policy-based action in the cloud-based system based on the detecting.

Abstract: A system generates a training dataset based on historical consumption information and historical comprehension information of historical users, and uses the training dataset to train a machine-learned model to predict a measure of comprehension for a user consuming educational content. The system applies the machine-learned model to behaviors of a target user to determine a target measure of comprehension for target educational content, identifies one or more characteristics of the target educational content, applies a content identification model to identify supplemental educational content, and generates an educational content interface to present the supplemental educational content to the target user. In some examples, the system trains the machine-learned model to predict a collective measure of comprehension for a set of users consuming educational content, identifies a set of supplemental educational content, and generates a teacher interface to present the set of supplemental educational content.

Abstract: Embodiments of a microelectronic assembly comprise an interposer comprising a dielectric material and a pad of conductive material having at least one of a ceramic liner and fin structures; at least two integrated circuit (IC) dies coupled to the interposer; and a bridge die in the interposer conductively coupled to the at least two IC dies. The bridge die has a first face and an opposing second face, the first face of the bridge die is proximate to the at least two IC dies, and the second face of the bridge die is in contact with the pad.

Abstract: A system generates a training dataset based on historical consumption information and historical comprehension information of historical users, and uses the training dataset to train a machine-learned model to predict a measure of comprehension for a user consuming educational content. The system applies the machine-learned model to behaviors of a target user to determine a target measure of comprehension for target educational content, identifies one or more characteristics of the target educational content, applies a content identification model to identify supplemental educational content, and generates an educational content interface to present the supplemental educational content to the target user. In some examples, the system trains the machine-learned model to predict a collective measure of comprehension for a set of users consuming educational content, identifies a set of supplemental educational content, and generates a teacher interface to present the set of supplemental educational content.

Abstract: A method and system is provided for utilizing a causal dependence graph of events in a large enterprise-related system to determine a most frequently utilized corrective action for a set of actions that the enterprise requires. Typically, with large sets of data related to actions that an enterprise system performs, it is non-trivial to correlate a set of actions (or workflows) with a set of corrective actions.

Abstract: A next operation in a workflow corresponding to a subject matter is automatically generated. A subject matter data record is received, including one or more historical operations previously executed in the workflow and a workflow template including one or more dynamic workflow nodes. At least one next operation is programmatically generated from the one or more dynamic workflow nodes based on the one or more historical operations previously executed in the workflow, wherein the at least one next operation is parameterized based on content in the subject matter data record. The at least one programmatically generated next operation is output into the workflow for execution.

Abstract: The present disclosure relates, in part, to pharmaceutical compositions comprising one or more polynucleotides suitable for enhancing, increasing, augmenting, and/or supplementing the levels of Collagen alpha-1 (VII) chain polypeptide and/or Lysyl hydroxylase 3 polypeptide and/or Keratin type I cytoskeletal 17 polypeptide in a subject. The present disclosure also relates, in part, to pharmaceutical compositions and methods of use for providing prophylactic, palliative, or therapeutic relief of a wound, disorder, or disease of the skin in a subject, including a subject having, or at risk of developing, one or more symptoms of epidermolysis bullosa.

Abstract: A fastener comprising: a) a body having: i) a first cylindrical portion with a first diameter, ii) a second cylindrical portion with a second diameter, iii) a shoulder part of the first cylindrical portion, iv) an exterior threaded portion, and v) a cylindrical hole extending along an axis of the body; b) a mandrel having: i) a shank, and ii) a mandrel head at an end of the shank; and c) a head having an opening defined by an interior threaded portion; wherein the mandrel shank at least partially occupies the cylindrical hole of the body; wherein the mandrel head is located outside of the body and opposite of the exterior threaded portion of the body; and wherein the exterior threaded portion of the body and the interior threaded portion of the head are engaged to removably secure the body to the head.

Abstract: The present disclosure relates to the use of GnRH receptor antagonists for the treatment of endometriosis, uterine fibroids, polycystic ovary syndrome (PCOS), or adenomyosis. In particular, the present disclosure describes methods for treating such gynecological disorders, where the methods involve administration of elagolix and may further involve co-administration of a CYP2B6 substrate (e.g., bupropion) or a CYP2C19 substrate (e.g., omeprazole) or a CYP3A4 substrate (e.g., ethinyl estradiol and/or levonorgestrel).

Abstract: Systems and methods for determining an efficiency score for an automation platform are provided. According to one embodiment, a first weight for each playbook of multiple playbooks of an automation framework and a second weight for each type of error of multiple types of errors that may cause execution of one of the multiple playbooks to fail are maintained. The first weight represents a relative importance of the playbook and the second weight represents an effort required to address the error. An efficiency score is calculated for execution of one or more playbooks of the multiple playbooks during a particular time period based on the first weight for each of the one or more playbooks and the second weight for each type of error observed during the particular time period. An indication of a health of the automation framework is then displayed based on the efficiency score.

Abstract: Systems and methods are provided for customizing a profile page. A first user profile and a second user profile are accessed by a computing device. First and second pluralities of content items associated with the first and second user are identified. Based on the first and second user profiles, first and second subsets of content items of the first and second plurality of content items are selected. For each content item of the first subset of content items, an image associated with the content item is identified. For each content item of the second subset of content items, an image associated with the content item is identified. Based on the identified images, first and second image collages are generated for the first and second user profiles. The first and second image collages and first and second indicators corresponding to the first and second user profiles are generated for display.

Abstract: The present invention relates to mild, natural and sustainable powder cleansing composition which dissolves quickly in water providing excellent process ease to the consumer, to form a ready to use, homogenous personal care cleansing formulations. The personal care cleansing compositions of the present invention comprising blend of N-acyl glutamates and O-acyl isethionates, one or more co-surfactants, suspending agent and organic acid and when shaken with water at room temperature by the consumer, quickly dissolves over a period of less than 15 seconds to form ready to use cleansing compositions.

Abstract: The present disclosure is directed to a system and associated methods for assessing, evaluating a target business, and leveraging insights from the assessment and evaluation to provide strategy recommendations to optimize the performance of the target business. In some embodiments, the system may identify a benchmark competitor and determine a performance score for the benchmark competitor. In some embodiments, the system may determine a domain score of an identified benchmark competitor. In some embodiments, the system determines an updated performance score based on provided capability process data. In some embodiments, the system recommends solutions and/or key performance indicators (KPI) to solve a provided problem. In some embodiments, the system provides a platform to enable stakeholders, (e.g., users) in the target business to perform a design thinking process.

Abstract: Satellite virtual private clouds (VPCs) are described. A primary VPC is executed having one or more core services hosted therein that are required by one or more satellite VPCs. A satellite VPC is executed that is logically independent of the primary VPC networked environment. A peered connection between the primary VPC and the satellite VPC is established. The peered connection permits the satellite VPC networked environment to access the at least one core service hosted in the primary VPC. A customer account may be associated with a suitable permission to perform isolated development in the satellite VPC networked environment without impacting any service hosted by the primary VPC networked environment.

Abstract: In an embodiment, a semiconductor device is disclosed that includes at least one processing device and firmware including a dynamic demodulation engine. The dynamic demodulation engine, when executed by the at least one processing device, is configured to obtain a digital signal waveform, dynamically select a bit detection method based at least in part on a characteristic of the digital signal waveform, perform demodulation of the digital signal waveform using the selected bit detection method and generate decoded packets based at least in part on the demodulation.

Abstract: Systems and methods for demodulating a signal is described. A device can receive a modulated signal that encodes data. The device can sample a voltage of the modulated signal to generate a plurality of samples in digital domain. The device can determine in-phase data and quadrature data of the plurality of samples. The device can determine amplitude data and phase data based on the in-phase data and the quadrature data. The device can decode the amplitude data and phase data into digital symbols that represent the data encoded in the modulated signal.

Abstract: Hybrid mode multicast routing may be provided. A switching device may receive a first join. Next, in response to receiving the first join, states for a first protocol mode (e.g., (S, G)) that is source aware and state for a second protocol mode (e.g., (*, G)) that is not source aware may be programed. Then a second join may be sent based on the states associated with the second protocol mode (e.g., (*, G)).

Abstract: For each device in a collaborative environment, qualities of system characteristics are determined. Based on the respective qualities of each device, a subset of devices is identified, including at least one device having a highest first quality and at least one device having a highest second quality, each corresponding to a different system characteristic. One or more devices from the subset of devices are then selected, based on the first quality and the second quality of each device of the subset of devices, to perform a function associated with the respective system characteristic.