Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for bridging native tokens. Various aspects may include initializing a first blockchain by allocating a plurality of native tokens. Aspects may also include transferring, using a bridge, one or more transactions from a second blockchain to the first blockchain using locked tokens on the second blockchain as collateral. Aspects may also include minting new native tokens at the first blockchain when a value of transactions sum to the plurality of native tokens and the plurality of native tokens are backed by the locked tokens. Aspects may also include reporting, to the second blockchain, the amount of tokens used for the transaction fees in the one or more transactions. Aspects may also include burning, at the second blockchain, tokens corresponding to the amount of tokens used for paying transaction fees.

Abstract: The present disclosure relates to RNAi agents, for example, double stranded RNAi agents, able to inhibit HIF-2 alpha (EPAS1) gene expression. Also disclosed are pharmaceutical compositions that include HIF-2 alpha RNAi agents and methods of use thereof. The HIF-2 alpha RNAi agents disclosed herein may be linked or conjugated to targeting ligands (such as compounds that have affinity for integrins, including alpha-v-beta-3 and alpha-v-beta-5 integrins) and pharmacokinetic (PK) enhancers, to facilitate the delivery to cells and tissues, including to clear cell renal cell carcinoma (ccRCC) cells and tumors. Delivery of compositions comprising the HIF-2 alpha RNAi agents in vivo provides for inhibition of HIF-2 alpha gene expression. The HIF-2 alpha RNAi agents can be used in methods of treatment of various diseases and disorders, including ccRCC.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: Systems and methods are provided for automated modification of delivery parameters. Particularly, computing model that is trained to determine a probability that a delivery defect is likely to occur for a given delivery or set of deliveries. Based on the probability, various limitations associated with the deliveries may be activated or deactivated on a mobile device application used by a delivery driver to perform the deliveries. The systems and methods reduce the number of delivery defects that occur while simultaneously reducing the use of unnecessary guardrails for low-risk deliveries. The model may be queried in real-time such that guardrails for a delivery itinerary may be optimized prior to the delivery driver beginning the delivery route.

Abstract: A facility for automatically establishing measurement location controls for Doppler ultrasound studies is described. The facility receives a first ultrasound image, and user input selecting an anatomical structure appearing in it. The facility performs localization to determine the location of the selected anatomical structure in the initial image, and determines a first placement of measurement location controls relative to the structure. On the ultrasound machine, the facility invokes one or more first Doppler ultrasound modes using the first placement. The facility receives a second ultrasound image produced by the ultrasound machine using the one or more first modes; determines a flow location and direction based on the second ultrasound image; and determines a second placement relative to the flow location. The facility invokes one or more second Doppler ultrasound modes using the second placement, and receives results from the invocation of the one or more second Doppler ultrasound modes.

Abstract: A method includes receiving sensor data collected by an autonomous mobile robot as the autonomous mobile robot moves about an environment, the sensor data being indicative of sensor events and locations associated with the sensor events. The method includes identifying a subset of the sensor events based on the locations. The method includes providing, to a user computing device, data indicative of a recommended behavior control zone in the environment, the recommended behavior control zone containing a subset of the locations associated with the subset of the sensor events. The method includes defining, in response to a user selection from the user computing device, a behavior control zone such that the autonomous mobile robot initiates a behavior in response to encountering the behavior control zone, the behavior control zone being based on the recommended behavior control zone.

Abstract: A treatment delivery system includes a fluid delivery system connected to a first fluid reservoir and a second fluid reservoir. The system directs a first fluid from the first fluid reservoir to a treatment site and directs a second fluid from the second fluid reservoir to the treatment site and a control unit to control the fluid delivery system according to a treatment process comprising a flow of the first fluid and the second fluid, the treatment process including multiple phases. A first phase includes a controlled delivery of the first fluid from the first fluid reservoir to the treatment site. A second phase of the plurality of phases includes a controlled delivery of the second fluid from the second fluid reservoir to the treatment site, the control unit automatically activating a transition from at least the first phase to the second phase.

Abstract: An application executing on a mobile device generates a geo-positional query including a time stamp representing the time of the query. The application can be, for example, an augmented reality application, a pointing search application, or a mapping application that searches based on geolocation and/or physical proximity. The query can include, in addition to a location, one or more of a direction, orientation, and camera field of view of the mobile device. A system processes the query to return a time-based state of an object and/or location addressed by the mobile device at the time of the query. The system can use the time stamp to identify which objects may have been located at a certain location at a certain time and/or to identify the state of located objects at a certain time. For example, the state of an electronic billboard can identify an advertisement displayed at the time.

Abstract: An apparatus for volume reduction of material removed from a hazardous environment. The apparatus includes a shielded housing for receiving a workpiece therein, at least one cutting unit having a cutting head operable for contactless cutting, and a drive unit for rotating the at least one cutting unit around a main axis so the cutting head cuts the workpiece.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: Systems and methods are described for implementing attribute aware, relationship-based access control by receiving a query to access a relational database from a user, determining if a rule of the relational database is applicable to the query, determining one or more relationships associated with the query based at least in part on the rule, and modifying the query by adding an extra join operation to the query based at least in part on the rule and the one or more relationships. Further, when a type of the rule is row level, a where clause filter is added to the modified query to enforce a condition of the rule, and when the type of the rule is field level, a case column is added to the modified query and a select clause is added to the modified query to wrap the query. The modified query is processed to produce a result.

Abstract: Methods and apparatus are provided for providing enhanced autopilot mode awareness for a pilot of an aircraft. The apparatus comprises an autopilot control interface that allows the pilot to activate an operational mode of an autopilot system for the aircraft and to set aviation function parameters of the autopilot system. An autopilot status interface is included that displays the operational mode of the autopilot system and a current status of the aviation function parameters that are controlled by the autopilot system, and an indicator of anticipated actions by the autopilot system to control the aviation function parameters.

Abstract: A system is disclosed for providing a data obfuscation platform useful for improved data security of preprocessing analysis of the data by a third party server. The system comprises: (a) a data store for storing: (1) sets of pre-processing analysis data created by a plurality of applications of different formats and/or organized by different standards; (2) a plurality of categories for the pre-processing the data and a plurality of rules for obfuscating the pre-processing data based on the categories; and (3) a data obfuscation engine for obfuscating the pre-processing analysis data; (b) one or more servers coupled to the data store and programmed to obfuscate the data by the data obfuscation engine before data preprocessing analysis by the third party server.

Abstract: Systems and methods are described for implementing attribute aware, relationship-based access control by receiving a query to access a relational database from a user, determining if a rule of the relational database is applicable to the query, determining one or more relationships associated with the query based at least in part on the rule, and modifying the query by adding an extra join operation to the query based at least in part on the rule and the one or more relationships. Further, when a type of the rule is row level, a where clause filter is added to the modified query to enforce a condition of the rule, and when the type of the rule is field level, a case column is added to the modified query and a select clause is added to the modified query to wrap the query. The modified query is processed to produce a result.

Abstract: A computer implemented masking manager provides a method for access controls. The method includes receiving a request for an object in a database, retrieving the object from the database, applying masking rules to a field of the object to determine whether the requestor has access to the field, determining a replacement value for the field based on requestor access to the field, and returning the object to the requestor with the replacement value in the field of the object.

Abstract: An application executing on a mobile device generates a geo-positional query including a time stamp representing the time of the query. The application can be, for example, an augmented reality application, a pointing search application, or a mapping application that searches based on geolocation and/or physical proximity. The query can include, in addition to a location, one or more of a direction, orientation, and camera field of view of the mobile device. A system processes the query to return a time-based state of an object and/or location addressed by the mobile device at the time of the query. The system can use the time stamp to identify which objects may have been located at a certain location at a certain time and/or to identify the state of located objects at a certain time. For example, the state of an electronic billboard can identify an advertisement displayed at the time.

Abstract: Techniques are disclosed relating to user authentication. In some embodiments, a computing system maintains an exception handler of a software development platform. The exception handler is executable to process a particular type of exception that causes an authentication of users of applications running on the software development platform. The computing system may receive, at the exception handler, an indication of the particular type of exception thrown by a particular application. In response to receiving the indication of the particular type of exception, the exception handler issues to a web browser interacting with the application, a request that the web browser redirect to an authentication server configured to perform an authentication of a user of the particular application. The computing system receives, from the authentication server, a result of the performed authentication and returns the result to the particular application.

Abstract: An apparatus for volume reduction of material removed from a hazardous environment. The apparatus includes a shielded housing for receiving a workpiece therein, at least one cutting unit having a cutting head operable for contactless cutting, and a drive unit for rotating the at least one cutting unit around a main axis so the cutting head cuts the workpiece.