Abstract: A delivery device for a collapsible prosthetic heart valve includes an inner shaft, an outer shaft, and a distal sheath. The distal sheath may be disposed distal to the outer shaft and about a portion of the inner shaft to form a compartment with the inner shaft. The compartment may be sized to receive the prosthetic heart valve. The inner shaft and the distal sheath may be movable relative to one another. A spine may extend along the outer shaft, the spine biasing the outer shaft so that the outer shaft tends to bend in a pre-determined direction.

Abstract: Techniques for secure and efficient interfacing with a cloud computing service are described. In an embodiment, a cloud computing management service is programmed or configured to communicate with a cloud computing service. The cloud computing management service can be accessed by software engineers that are looking to deploy a software instance to a computing device of the cloud computing service. Thus, the cloud computing management service acts as an intermediary layer in front of the cloud computing service. In an embodiment, the cloud computing management service may store one or more frequently-used system parameters for deployment of software instances. The parameters conform to company's security protocols, compliance protocols, and/or other standards.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.

Abstract: A system including: one or more processors; a memory storing instructions that, when executed by the one or more processors are configured to cause the system to: receive a plurality of user names and a plurality of anonymized user identifiers; receive a plurality of user attributes associated with one or more users of the plurality of users; receive a first plurality of hash values that uniquely identify an association between each user attribute and one or more users; receive a first request for a listing of user names associated with a first user attribute; receive a first secret key; generate a second plurality of hash values; determine a first subset of the first plurality of hash values that match the second plurality of hash values; generate a first graphical user interface including the listing of user names; and transmit the first graphical user interface to the first user device.

Abstract: Disclosed is a method of analysing genetic data about an organism comprising receiving a plurality of input units. Each input unit comprises information about the association between genetic variants in a region of the genome and phenotypes or phenotype combinations. The method comprises carrying out iterations comprising, for each variant determining for which of the phenotypes or phenotype combinations the variant is causal based on the input units. If the variant is causal for phenotypes or phenotype combinations, a sampled effect size is determined of the variant on the phenotypes or phenotype combinations based on the input units and information about correlations between the variants in the region. For each variant, a prediction effect size is determined variant on the phenotypes or phenotype combinations based on an average across the iterations of the sampled effect sizes or of posterior effect sizes calculated using the sampled effect sizes.

Abstract: Example embodiments involve a metrics collection system for collecting software usage metrics from one or more client devices at deployments. A computer, such as a server configured to execute the metrics collection system, collects software usage metrics (e.g., as a metrics submission from a client device) of the software product at the deployment, identifies a metrics type of the software usage metrics collected, assigns the software usage metrics to a metrics category, and calculates and updates a metrics score of the metrics category, based on the software usage metrics collected.

Abstract: In some embodiments, the present disclosure relates to a system. The system includes a substrate and a fluid capture material formed on one or more surfaces of the substrate. The fluid capture material includes a sorbent material that binds one or more fluids, the one or more fluids comprising water, carbon dioxide, sulfur oxides, or a combination thereof. The fluid capture material also includes one or more binder materials, wherein the binder material is at least partially cross-linked.

Abstract: A delivery device for a collapsible prosthetic heart valve includes an inner shaft, an outer shaft, and a distal sheath. The distal sheath may be disposed distal to the outer shaft and about a portion of the inner shaft to form a compartment with the inner shaft. The compartment may be sized to receive the prosthetic heart valve. The inner shaft and the distal sheath may be movable relative to one another. A spine may extend along the outer shaft, the spine biasing the outer shaft so that the outer shaft tends to bend in a pre-determined direction.

Abstract: A system including: one or more processors; a memory storing instructions that, when executed by the one or more processors are configured to cause the system to: receive a plurality of user names and a plurality of anonymized user identifiers; receive a plurality of user attributes associated with one or more users of the plurality of users; receive a first plurality of hash values that uniquely identify an association between each user attribute and one or more users; receive a first request for a listing of user names associated with a first user attribute; receive a first secret key; generate a second plurality of hash values; determine a first subset of the first plurality of hash values that match the second plurality of hash values; generate a first graphical user interface including the listing of user names; and transmit the first graphical user interface to the first user device.

Abstract: A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.

Abstract: In an example, a method can include determining, at a first inter-partition messenger, a message type for a message generated by a first application. The first inter-partition messenger and the first application can reside on a first virtual machine. The method can include identifying, at the first inter-partition messenger, a second application that is to receive the message based on the message type and message subscription data, generating, at the first inter-partition messenger, message routing data for routing of the message from the first virtual machine to the second virtual machine, causing, at the first inter-partition messenger, the message to be routed from the first virtual machine to the second virtual machine based on the message routing data, and receiving, at the second inter-partition messenger, the message for use thereof by the second application. The second inter-partition messenger and the second application can reside on the second virtual machine.

Abstract: A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.

Abstract: A system may receive captured content identifying a first face of a user of a user device and media content identifying a second face of a person. The system may process the captured content and the media content, using a first machine learning model, to determine embeddings for the captured content and to identify landmarks in the media content. The system may combine the captured content with the media content, based on the landmarks and the embeddings, to generate combined content and to segment a combined face of the combined content, to replace the second face of the media content with the combined face, and to generate new media content that includes the combined face. The system may process the new media content, with a second machine learning model, to blend the combined face in the new media content and to generate final media content.

Abstract: A nail lamp is configured to cure light-curable nail product on a user's nails. The lamp includes an array of discrete light sources. A nail treatment space is disposed beneath the array and is sized to accommodate therein at least one nail of a user so as to expose the user's at least one nail to light from the array. The nail lamp includes a number of features to improve the uniformity of exposure of the at least one user nail to light relative to existing lamps. These features include one or more angled surfaces and light reflectors.

Abstract: A device for registering a bone for a robotic knee arthroplasty with a surgical robot can include a plate and a registration device. The plate can be engageable with the bone and can include a lateral portion, a medial portion, and a hinge. The registration device can be connected to the plate and can be configured to interface with the surgical robot for registration of the plate and the bone.

Abstract: A system may receive captured content identifying a first face of a user of a user device and media content identifying a second face of a person. The system may process the captured content and the media content, using a first machine learning model, to determine embeddings for the captured content and to identify landmarks in the media content. The system may combine the captured content with the media content, based on the landmarks and the embeddings, to generate combined content and to segment a combined face of the combined content, to replace the second face of the media content with the combined face, and to generate new media content that includes the combined face. The system may process the new media content, with a second machine learning model, to blend the combined face in the new media content and to generate final media content.

Abstract: A nail lamp is configured to cure light-curable nail product on a user's nails. The lamp includes an array of discrete light sources with different light wavelength profiles. The different wavelength profiles are configured to, in combination, cure a light-curable nail product. A space is disposed beneath the array and is sized to accommodate therein the nails of an appendage of a user so as to expose the user's nails to light from the array. The space is substantially open to the ambient environment to the front, rear, left, right, and top of the space, thereby providing an open architecture.

Abstract: A cosmetic composition for sculpting nails, a method for sculpting nails which comprises the application of the cosmetic composition, and a brush-in bottle for applying the cosmetic composition are disclosed.