Abstract: Systems and methods for improving component access for cloud service users. The systems and methods allow for users to access additional cloud components through data layer operations such as routing table updates. Notably, the data layer may be modified by the cloud service users themselves and thus avoid restriction in inactivity by the cloud service provider.

Abstract: A method of computer aided component design in an assembly, includes providing a first design having multiple components, determining a joint area in the first design that is a portion of the first design in which a first component is or will be connected to a second component, locking the joint area within the first design so that the shape of the portion within the joint area of the one or more of the multiple components does not change, and changing the first design to a second design. The design change is accomplished by changing the location of at least one feature relative to the joint area or by moving the joint area relative to the at least one feature, where the at least one feature is a portion of at least one of the multiple components that is not within the joint area.

Abstract: A bumper interface assembly for a vehicle includes a bumper cross-member, a bumper mounting bracket extending from the bumper cross-member and a frame member receiving the bumper mounting bracket. A reinforcement member is coupled directly to and within the bumper mounting bracket and disposed between the bumper mounting bracket and the frame member.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that generate relational vector portals and cause a vector object traversing an entry portal to exit out of a linked exit portal by performing spatial and/or style transitions on the vector object. In particular, the disclosed systems generate an entry portal aligned with a vector path. Furthermore, the disclosed systems generate an exit portal linked to the entry portal. Moreover, the disclosed systems move a vector object to at least partially traverse the entry portal. In addition, the disclosed systems generate a transformed vector object by causing a portion of the vector object traversing the entry portal to exit out of the exit portal.

Abstract: An implantable medical device is formed at least in part with a shape-memory alloy having a chemical composition of Ni49-51Ti28-38Hf10-19Al0.1-3.5. The implantable medical device has improved radiopaque properties compared with traditional shape memory alloys. The implantable medical device may be collapsible and re-expandable for facilitating advancement through the vasculature. The implantable medical device may be formed with a braided structure and/or foldable struts for enhancing collapsibility.

Abstract: A vehicle roof has a framework with longitudinal rails that extend between a front windshield area and a rear window, hatch or door area. The rails are spaced from one another to form an opening between the rails to receive one or more removable roof panels. The removable roof panels have an inner skin and an outer skin. A honeycomb core is sandwiched between the inner and outer skins. The honeycomb core is a non-porous material with strength and lightweight characteristics such as aluminum, polypropylene or the like.

Abstract: A system receives ETL specification for processing stream data, including a transform operation represented using a database query specification. The system generates a dataflow graph of a sequence of database queries by decomposing the database query into a first database query that generates an intermediate results table, and a second database query that receives as input the intermediate results table and outputs data used for performing the transform operation. The system executes the sequence of database queries for performing the transform operation on stream data received from the source. When receiving an incremental data set, the system determines an output change set based on the received incremental data set by traversing an execution plan and processing each operator in the execution plan, and computing a change set of a particular operator from the change sets output by the one or more other operators based on the incremental data set.

Abstract: The system may receive an application for fitting to one of a plurality of database engines based on a requirement for the application. The system may filter the plurality of database engines based on the requirement to generate a first subset of database engines. The system may determine a first characteristic of a schema of the application. The system may determine a percentage of completeness of the schema based on the first characteristic. The system may select a first database engine from the first subset of database engines, based on the percentage of completeness of the schema. The system may generate for display, on a user interface a recommendation for the first database engine.

Abstract: The non-softening thermoplastic polyurethane (TPU) compositions described herein have good rebound resilience while maintaining a good combination of other properties, including hardness, low-temperature flexibility, abrasion resistance, weatherability, low density, and combinations thereof. The degree of softening is independent of the hardness of the TPUs of the disclosed technology. The combination of properties allows the TPU compositions described herein are useful materials for applications where polyamide copolymers (COPA) and/or polyether block amide (PEBA) materials have traditionally been used over TPU.

Abstract: A method of determining a front end vehicle design forming a plurality of control factors for a front structure of a vehicle, each control factor comprising a first level and a second level, selecting a first level or a second level for each control factors based on a crash velocity and an amount of energy absorbed and forming a vehicle design output corresponding to the first level or the second level based on selecting.

Abstract: A process for producing synthesis gas, the process comprising the steps of a) reforming a hydrocarbon feed in a reforming section thereby obtaining a synthesis gas comprising CH4, CO, CO2, H2 and H2O and impurities comprising ammonia; b) shifting the synthesis gas in a shift section comprising one or more shift steps in series to a shifted synthesis gas; c) separating from the shifted synthesis gas a process condensate originating from cooling and optionally washing of the shifted synthesis gas; d) passing the process condensate to a condensate steam stripper, wherein dissolved shift byproducts comprising ammonia, methanol and amines formed during shifting the synthesis gas are stripped out of the process condensate using steam resulting in a stripper steam stream, e) adding a part of the stripper steam stream from the process condensate steam strip-per to the hydrocarbon feed and/or to the synthesis gas downstream the reforming section, up-stream the last shift step, wherein the remaining part of stripper st

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating an editable text object that follows a depth perspective of a digital image from a text segment portrayed according to the depth perspective. In particular, in some cases, the disclosed systems detect a text segment portrayed in accordance with a depth perspective of a digital image displayed by a client device. Further, the disclosed systems generate, within the digital image and from the text segment, an editable text object that follows the depth perspective of the digital image. Additionally, the disclosed systems modify the editable text object in accordance with the depth perspective of the digital image in response to receiving one or more user interactions via the client device.

Abstract: A system receives ETL specification for processing stream data, including a transform operation represented using a database query specification. The system generates a dataflow graph of a sequence of database queries by decomposing the database query into a first database query that generates an intermediate results table, and a second database query that receives as input the intermediate results table and outputs data used for performing the transform operation. The system executes the sequence of database queries for performing the transform operation on stream data received from the source. When receiving an incremental data set, the system determines an output change set based on the received incremental data set by traversing an execution plan and processing each operator in the execution plan, and computing a change set of a particular operator from the change sets output by the one or more other operators based on the incremental data set.

Abstract: Embodiments are disclosed for adding node highlighting to vector graphics. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a selection of a plurality of anchor points of a vector graphic to be highlighted, generating a graph representing one or more path objects of the vector graphic, each node of the graph corresponding to an anchor point of the one or more path objects and each connection corresponding to a path segment connecting the anchor point to another anchor point, identifying a highlight trajectory including a subset of nodes from the graph, the highlight trajectory including at least a start node and an end node, generating a highlight path including at least one or more highlight nodes corresponding to a subset of nodes from the highlight trajectory, and updating the vector graphic to include the highlight path.

Abstract: Systems and methods for integrated multi-factor multi-label analysis include using one or more deep learning systems, such as neural networks, to analyze how well one or more entities are likely to benefit from a targeted action. Data associated with each of the entities is analyzed to determine a score for each of the proposed targeted actions using multiple analysis factors. The scores for each analysis factor are determined using a different multi-layer analysis network for each analysis factor. The scores for each analysis factor are then combined to determine an overall score for each of the proposed targeted actions. The entities and the proposed targeted actions with the highest scores are then identified and then used to determine which entities are to be the subject of which targeted actions.

Abstract: A system receives ETL specification for processing stream data, including a transform operation represented using a database query specification. The system generates a dataflow graph of a sequence of database queries by decomposing the database query into a first database query that generates an intermediate results table, and a second database query that receives as input the intermediate results table and outputs data used for performing the transform operation. The system executes the sequence of database queries for performing the transform operation on stream data received from the source. When receiving an incremental data set, the system determines an output change set based on the received incremental data set by traversing an execution plan and processing each operator in the execution plan, and computing a change set of a particular operator from the change sets output by the one or more other operators based on the incremental data set.

Abstract: Systems and methods for integrated multi-factor multi-label analysis include using one or more deep learning systems, such as neural networks, to analyze how well one or more entities are likely to benefit from a targeted action. Data associated with each of the entities is analyzed to determine a score for each of the proposed targeted actions using multiple analysis factors. The scores for each analysis factor are determined using a different multi-layer analysis network for each analysis factor. The scores for each analysis factor are then combined to determine an overall score for each of the proposed targeted actions. The entities and the proposed targeted actions with the highest scores are then identified and then used to determine which entities are to be the subject of which targeted actions.

Abstract: Digital image editing techniques are described as implemented by a depth-aware system of a computing device. The depth-aware system employs a depth-aware grid that defines constraints for depth-aware editing of digital images involving perspective. These techniques support automated editing in which changes to directional spacing, perspective arrangement, perspective movement, object redistribution, and so on are implemented in real time, which is not possible in conventional techniques involving object distortion. As such, these techniques improve operation of the computing device that implements these techniques as well as user efficiency in interacting with the computing device to perform digital image editing that involves perspective.

Abstract: A system receives ETL specification for processing stream data, including a transform operation represented using a database query specification. The system generates a dataflow graph of a sequence of database queries by decomposing the database query into a first database query that generates an intermediate results table, and a second database query that receives as input the intermediate results table and outputs data used for performing the transform operation. The system executes the sequence of database queries for performing the transform operation on stream data received from the source. When receiving an incremental data set, the system determines an output change set based on the received incremental data set by traversing an execution plan and processing each operator in the execution plan, and computing a change set of a particular operator from the change sets output by the one or more other operators based on the incremental data set.

Abstract: A system receives ETL specification for processing stream data, including a transform operation represented using a database query specification. The system generates a dataflow graph of a sequence of database queries by decomposing the database query into a first database query that generates an intermediate results table, and a second database query that receives as input the intermediate results table and outputs data used for performing the transform operation. The system executes the sequence of database queries for performing the transform operation on stream data received from the source. When receiving an incremental data set, the system determines an output change set based on the received incremental data set by traversing an execution plan and processing each operator in the execution plan, and computing a change set of a particular operator from the change sets output by the one or more other operators based on the incremental data set.