Abstract: Disclosed is an adaptor for use in preventing environment from escaping from an isolated area to an open area while providing a means to transfer data/information and services to the isolated space such within a ship/vessel. The adaptor includes a body having a first inner bore section extending centrally through the body and having threads configured for securement to an existing penetration of the closed space. The body also includes a threaded collar assembly extending centrally through the body such that first and second inner bore sections are axially aligned and allow passage of a communication cable and service pipe through the body. Additionally, inserts are disposed within the threaded collar and configured with cylindrical bores extending centrally through the insert and configured to allow the communication cable to be extended therethrough and fixedly secure the communication cable to prevent movement of the communication cable and provide strain relief.

Abstract: The present disclosure relates to methods and systems for training and utilizing a machine-learning model with a Deep Kernel Learning with Gaussian processes (DKL-GP) architecture to handle datasets with missing values. The system can receive a dataset with incomplete data, identify missing values, and process the dataset using the DKL-GP architecture. This can involve generating latent variables, utilizing inducing variables to approximate a Gaussian process, and mapping the latent variables to output predictions with associated uncertainty estimates. The system can optimize model parameters through a training process that leverages Pólya-Gamma data augmentation and Gaussian process inducing points for efficient computation. The trained model can subsequently be used to generate predictions for data records with missing data values, while obviating the need to impute potential values for the missing values, and make decisions based on the predictions.

Abstract: A steering knuckle configured to receive a bearing having a given outer diameter. The steering knuckle includes a knuckle body having an exterior surface with a given surface treatment. The body defines a knuckle bore having an interior surface and configured to receive the bearing. At least a portion of the knuckle bore interior surface is covered with a corrosion resistant material.

Abstract: The present invention provides compositions and methods for inducing antigen-specific tolerance in a subject. In one embodiment, the present invention provides a composition comprising an apoptotic body and an epitope of an antigen. Also provided herein are methods of preparing and administering the composition. The composition and methods provided herein can induce antigen-specific tolerance in a subject.

Abstract: A post and stud for a ball joint assembly includes a post with a first end, an intermediate portions and a second end. The first end is externally threaded to receive a complementary fastener and the second end is internally threaded. A threaded stud has a first end that complements the internally threaded second end of the post and the second end of the stud is threaded for a predetermined application.

Abstract: One embodiment of the disclosure is a compound represented by Formula (I) or a pharmaceutically acceptable salt thereof. The variables in Formula (I) are defined herein. Compounds of Formula (I) are useful for inhibiting mutant KIT protein and for treating conditions associated with aberrant KIT activity, in humans or non-humans.

Abstract: Systems and methods for automated path-based recommendation for risk mitigation are provided. An entity assessment server, responsive to a request for a recommendation for modifying a current risk assessment score of an entity to a target risk assessment score, accesses an input attribute vector for the entity and clusters of entities defined by historical attribute vectors. The entity assessment server assigns the input attribute vector to a particular cluster and determines a requirement on movement from a first point to a second point in a multi-dimensional space based on the statistics computed from the particular cluster. The first point corresponds to the current risk assessment score and the second point corresponds to the target risk assessment score. The entity assessment server computes an attribute-change vector so that a path defined by the attribute-change vector complies with the requirement and generates the recommendation from the attribute-change vector.

Abstract: Systems and methods for automated path-based recommendation for risk mitigation are provided. An entity assessment server, responsive to a request for a recommendation for modifying a current risk assessment score of an entity to a target risk assessment score, accesses an input attribute vector for the entity and clusters of entities defined by historical attribute vectors. The entity assessment server assigns the input attribute vector to a particular cluster and determines a requirement on movement from a first point to a second point in a multi-dimensional space based on the statistics computed from the particular cluster. The first point corresponds to the current risk assessment score and the second point corresponds to the target risk assessment score. The entity assessment server computes an attribute-change vector so that a path defined by the attribute-change vector complies with the requirement and generates the recommendation from the attribute-change vector.

Abstract: The present invention provides compositions comprising peptide-coupled biodegradable poly(lactide-co-glycolide) (PLG) particles. In particular, PLG particles are surface-functionalized to allow for coupling of peptide molecules to the surface of the particles (e.g., for use in eliciting induction of immunological tolerance).

Abstract: In some aspects, a computing system can generate and optimize a machine learning model to estimate an unobservable capacity of a target system or entity. The computing system can access training vectors which include training predictor variables, training performance indicators, and task quantities. A training performance indicator indicating performance outcome corresponding to the predictor variables and a task quantity associated with a task assigned to the target entity that leads to the training performance indicator. The machine learning model can be trained by performing adjustments of parameters of the machine learning model to minimize a loss function defined based on the training vectors. The trained machine learning model can be used to estimate the capacity of the target system or entity for handling tasks and be used in assigning tasks to the target entity according to the determined capacity.

Abstract: Various aspects involve explainable machine learning based on time-series transformation. For instance, a computing system accesses time-series data of a predictor variable associated with a target entity. The computing system generates a first set of transformed time-series data instances by applying a first family of transformations on the time-series data. Any non-negative linear combination of the first family of transformations forms an interpretable transformation of the time-series data. The computing system determines a risk indicator for the target entity indicating a level of risk associated with the target entity by inputting the first set of transformed time-series data instances into a machine learning model. The computing system transmits, to a remote computing device, a responsive message including the risk indicator. The risk indicator is usable for controlling access to one or more interactive computing environments by the target entity.

Abstract: The present invention provides compositions comprising peptide-coupled biodegradable poly(lactide-co-glycolide) (PLG) particles. In particular, PLG particles are surface-functionalized to allow for coupling of peptide molecules to the surface of the particles (e.g., for use in eliciting induction of immunological tolerance).

Abstract: Provided herein are fluorescent dyes possessing abroad range of silyl modifications, which can be used, for example, for enabling brighter dyes, red-shifting of fluorescence, and as handles, e.g., for the introduction of sensors and/or targeting groups, including no-wash fluorogenic labeling agents for nuclear DNA, SnapTag® proteins, and HaloTag® proteins. The fluorescent dyes have the following structure: or a tautomer thereof, or a salt of the foregoing, wherein values for the variables (e.g., X, Z1, Z2, R3, R6, R7, R11) are as described herein.

Abstract: Techniques are described herein for applying natural language processing (NLP) techniques to time series data to derive attributes of an object for use with a machine-learning model. In one example, a system can receive a time series associated with an object over a time window, where the time series includes a set of discrete values. The system can then generate a time series encoding based on the time series. The system can provide the time series encoding as input to a trained natural language processing (NLP) model, which can generate one or more output embeddings based on the time series encoding. Next, the system can determine at least one attribute associated with the object based on the one or more output embeddings. The system can then provide the attributes for use with a machine-learning model, which may for example be configured to predict a future characteristic of the object.

Abstract: Systems and methods for automated path-based recommendation for risk mitigation are provided. An entity assessment server, responsive to a request for a recommendation for modifying a current risk assessment score of an entity to a target risk assessment score, accesses an input attribute vector for the entity and clusters of entities defined by historical attribute vectors. The entity assessment server assigns the input attribute vector to a particular cluster and determines a requirement on movement from a first point to a second point in a multi-dimensional space based on the statistics computed from the particular cluster. The first point corresponds to the current risk assessment score and the second point corresponds to the target risk assessment score. The entity assessment server computes an attribute-change vector so that a path defined by the attribute-change vector complies with the requirement and generates the recommendation from the attribute-change vector.

Abstract: The present invention provides compositions comprising peptide-coupled biodegradable poly(lactide-co-glycolide) (PLG) particles. In particular, PLG particles are surface-functionalized to allow for coupling of peptide molecules to the surface of the particles (e.g., for use in eliciting induction of immunological tolerance).

Abstract: Systems and methods for automated path-based recommendation for risk mitigation are provided. An entity assessment server, responsive to a request for a recommendation for modifying a current risk assessment score of an entity to a target nsk assessment score, accesses an input attribute vector for the entity and clusters of entities defined by historical attribute vectors. The entity assessment server assigns the input attribute vector to a particular cluster and determines a requirement on movement from a first point to a second point in a multi-dimensional space based on the statistics computed from the particular cluster. The first point corresponds to the current risk assessment score and the second point corresponds to the target risk assessment score. The entity assessment server computes an attribute-change vector so that a path defined by the attribute-change vector complies with the requirement and generates the recommendation from the attribute-change vector.

Abstract: A mobile application for integrating a location sharing event with a messaging platform such as a text messaging or email platform allows users to be prompted about location sharing when at least a part of the message includes location or time information. In one embodiment, the mobile application takes the form of an integrated location sharing application that parses the message to discern the relevant location or time information. The application may also provide a notification of a future event and may optionally generate a location sharing event based on the notification. In another embodiment, the application permits interactive route sharing between at least two computing devices.