Abstract: Systems and methods identify respiration signals in a patient, which can be important for monitoring respiratory health. A respiration signal can be extracted based on data within a physiological waveform, such as a blood pressure waveform, a blood flow waveform, an electrocardiogram, or a plethysmogram. The physiological waveform can be filtered to identify and extract the respiration signal, which can be utilized to construct a capnogram waveform. A respiration rate can be calculated from the respiration signal or from the constructed capnogram waveform.

Abstract: Systems, methods, and computer program products are provided for detecting a synthetic identity. The method includes receiving an identity verification request relating to an individual. The identity verification request includes one or more individual identifiers of the individual. The method also includes comparing at least one of the one or more individual identifiers to one or more known synthetic indicators. The one or more known synthetic indicators including at least one of a synthetic identifier type or a synthetic identifier value that correspond to one or more known synthetic identities. The method further includes determining a synthetic identity determination based on the comparison of the at least one of the one or more individual identifiers to the one or more known synthetic indicators. The synthetic identity determination indicates whether an identity verification request is a potential synthetic identity.

Abstract: Systems, methods, and computer program products are provided for detecting a synthetic identity. The method includes receiving an identity verification request relating to an individual. The identity verification request includes one or more individual identifiers of the individual. The method also includes comparing at least one of the one or more individual identifiers to one or more known synthetic indicators. The one or more known synthetic indicators including at least one of a synthetic identifier type or a synthetic identifier value that correspond to one or more known synthetic identities. The method further includes determining a synthetic identity determination based on the comparison of the at least one of the one or more individual identifiers to the one or more known synthetic indicators. The synthetic identity determination indicates whether an identity verification request is a potential synthetic identity.

Abstract: A system for predicting an anomalous request comprises a processor associated with a server. The processor is configured to generate a first set of data objects associated with a first user profile. The processor is configured to compare the first set of the data objects to approved data and audit data to generate a second set of data objects with a set of anomalous data indicators for the first user profile. The processor is further configured to process the second set of the data objects through an anomaly learning model to determine a predictive degree of approval associated with the user profile. The processor is further configured to determine to how to process the user profile based on the predictive degree of approval. The processor is further configured to assign a profile indicator to the user profile.

Abstract: A vehicle comprises a propulsion assembly that includes a rotor system configured to swivel about a pivot axis and a flight control system in communication with the propulsion assembly. In one embodiment, the pivot axis is fixedly oriented at an angle relative to a lateral axis of the vehicle in a plane defined by a longitudinal axis of the vehicle. The flight control system is configured to activate a particular operational mode of the propulsion assembly, in which the rotor system is configured to swivel about the pivot axis to move a rotor axis of the rotor system from a first gimbal angle to a second gimbal angle. In various embodiments, the gimbal angle is configured to change a center of gravity, or direction of thrust vectors, or attitude of the vehicle. The operational mode may comprise a one engine inoperative (OEI) mode in an example embodiment.

Abstract: Compound formulations include gadusol or gadusporine that can be used as topicals, such as sunscreens or filters that protect human and animal skin against harmful light like UVA, and UVB, cosmetics, and skin care products. In some examples, gadusol or gadusporine are ?0.5% w/w, 0.5-2.0% w/w of the compound formulation. Other compound formulations include gadusol or gadusporine at >2.0% w/w of the compound formulation.

Abstract: A system for predicting an anomalous request comprises a processor associated with a server. The processor is configured to generate a first set of data objects associated with a first user profile. The processor is configured to compare the first set of the data objects to approved data and audit data to generate a second set of data objects with a set of anomalous data indicators for the first user profile. The processor is further configured to process the second set of the data objects through an anomaly learning model to determine a predictive degree of approval associated with the user profile. The processor is further configured to determine to how to process the user profile based on the predictive degree of approval. The processor is further configured to assign a profile indicator to the user profile.

Abstract: A UT scanner interface may include a main body that includes an inner chamber including a UT scanner facing toward an opening on a bottom side, a couplant injection port, and a fluid evacuation port. During operations, a couplant is injected into the inner chamber via the couplant injection port while couplant and any contaminants may be removed from the inner chamber via the fluid evacuation port.

Abstract: A system for predicting an anomalous request comprises a processor associated with a server. The processor is configured to parse a user profile from a plurality of user profiles to generate a first set of data objects associated with the first user profile. The processor is configured to compare the first set of the data objects to approved data and audit data to generate a second set of data objects with a set of anomalous data indicators for the first user profile. The processor is further configured to process the second set of the data objects through an anomaly learning model to determine a predictive degree of approval associated with the user profile. The processor is further configured to determine to approve, flag or disapprove the user profile based on the predictive degree of approval. The processor is further configured to assign a profile indicator to the user profile.

Abstract: A male part and a female part can reversibly couple aircraft to one another using an attachment mechanism. The male part includes a wall forming a shaft and is operable to attach to a first aircraft. The female part includes a wall forming a cavity and is operable to attach to a second aircraft. The attachment mechanism can regulate a mechanical engagement between the shaft on the male part and the cavity on the female part while the first aircraft and the second aircraft are airborne or on land. The attachment mechanism is operable to switch between an engaged position and a disengaged position. In the engaged position, the attachment mechanism initiates the mechanical engagement to rigidly attach the first and the second aircraft to one another. In the disengaged position, the attachment mechanism discontinues the mechanical engagement to detach the first and the second aircraft from one another.

Abstract: Embodiments of sunscreen formulations are disclosed herein. In one example, a sunscreen formulation includes a) a physical/inorganic sunscreen active ingredient at from about 5% to about 25% on a weight/weight (w/w) basis, wherein the physical/inorganic sunscreen active ingredient generates a first sun protection factor (“SPF”) value to a sunscreen formulation; b) gadusol; and c) a plurality of ingredients configured to deliver ingredients a) and b) in the sunscreen formulation, wherein the gadusol is present in the sunscreen formulation in an amount sufficient to generate a SPF booster effect in the sunscreen formulation to provide an enhanced SPF value for the sunscreen formulation that is at least 1.5 times the first SPF value generated by the physical/inorganic sunscreen active ingredient when the physical/inorganic sunscreen active ingredient is present at a same amount in a formulation that does not contain gadusol.

Abstract: A computer system comprises a memory, a network interface, and at least one processor is provided. The memory stores a plurality of user profile records and a plurality of skill profile records. The at least one processor is configured to receive a request to recommend a skill to improve mental health of a user; retrieve, from the plurality of user profile records, a user profile record associated with the user and the skill, the user profile record including a first weight; retrieve, from the plurality of skill profile records, a skill profile record associated with the skill, the skill profile record including a second weight; determine a third weight based on the first weight and the second weight; generate a response to the request, the response including an identifier of the skill and the third weight; and transmit the response to a virtual assistant.

Abstract: A system for predicting an anomalous request comprises a processor associated with a server. The processor is configured to parse a user profile from a plurality of user profiles to generate a first set of data objects associated with the first user profile. The processor is configured to compare the first set of the data objects to approved data, audit data, disapproved data to generate a second set of data objects with a set of anomalous data indicators for the first user profile. The processor is further configured to process the second set of the data objects through an anomaly learning model to determine a predictive degree of approval associated with the user profile. The processor is further configured to determine to approve, flag or disapprove the user profile based on the predictive degree of approval. The processor is further configured to assign a profile indicator to the user profile.

Abstract: Systems and methods for identifying individuals with a user-requested expertise are provided. For example, the system can include a processor configured to receive a user input and extract one or more keywords from the input. The processor can generate search requests based upon the one or more keywords, each search request identifying at least one application programming interface (API) call configured to invoke at least one API function as exposed by a software application. The processor can transmit the search requests to the software applications and receive search responses. The processor can determine a plurality of software application users and a set of associated evidence, each set of associated evidence including user interactions with each of the software applications. The processor can aggregate the evidence into an aggregated data set and configure the aggregated data set as an input to a machine learning classifier for ranking the sets of evidence.

Abstract: Systems, methods, and computer program products are provided for detecting a synthetic identity. The method includes receiving an identity verification request relating to an individual. The identity verification request includes one or more individual identifiers of the individual. The method also includes comparing at least one of the one or more individual identifiers to one or more known synthetic indicators. The one or more known synthetic indicators including at least one of a synthetic identifier type or a synthetic identifier value that correspond to one or more known synthetic identities. The method further includes determining a synthetic identity determination based on the comparison of the at least one of the one or more individual identifiers to the one or more known synthetic indicators. The synthetic identity determination indicates whether an identity verification request is a potential synthetic identity.

Abstract: Embodiments of sunscreen formulations are disclosed herein. In one example, a sunscreen formulation includes a) a physical/inorganic sunscreen active ingredient at from about 5% to about 25% on a weight/weight (w/w) basis, wherein the active ingredient generates a first sun protection factor (“SPF”) value to a sunscreen formulation; b) gadusol; and c) a plurality of ingredients configured to deliver ingredients a) and b) in the sunscreen formulation, wherein the gadusol is present in the sunscreen formulation in an amount sufficient to generate a SPF booster effect in the sunscreen formulation.

Abstract: A vehicle comprises a propulsion assembly that includes a rotor system configured to swivel about a pivot axis and a flight control system in communication with the propulsion assembly. In one embodiment, the pivot axis is fixedly oriented at an angle relative to a lateral axis of the vehicle in a plane defined by a longitudinal axis of the vehicle. The flight control system is configured to activate a particular operational mode of the propulsion assembly, in which the rotor system is configured to swivel about the pivot axis to move a rotor axis of the rotor system from a first gimbal angle to a second gimbal angle. In various embodiments, the gimbal angle is configured to change a center of gravity, or direction of thrust vectors, or attitude of the vehicle. The operational mode may comprise a one engine inoperative (OEI) mode in an example embodiment.

Abstract: The present invention relates to airfoils having surface treatments to reduce trailing edge noise. The surface treatment is designed to reduce trailing edge noise by modifying the boundary layer turbulence as it approaches the trailing edge. The surface treatment accomplishes its function by breaking up spanwise-oriented turbulence approaching the trailing edge, thereby reducing the spanwise correlation lengthscales; deflecting the boundary layer turbulence away from the edge; and/or creating spanwise vortices or instability waves to reduce the turbulence-edge interaction.

Abstract: A computer system comprises a memory, a network interface, and at least one processor is provided. The memory stores a plurality of user profile records and a plurality of skill profile records. The at least one processor is configured to receive a request to recommend a skill to improve mental health of a user; retrieve, from the plurality of user profile records, a user profile record associated with the user and the skill, the user profile record including a first weight; retrieve, from the plurality of skill profile records, a skill profile record associated with the skill, the skill profile record including a second weight; determine a third weight based on the first weight and the second weight; generate a response to the request, the response including an identifier of the skill and the third weight; and transmit the response to a virtual assistant.

Abstract: Systems and methods for identifying individuals with a user-requested expertise are provided. For example, the system can include a processor configured to receive a user input and extract one or more keywords from the input. The processor can generate search requests based upon the one or more keywords, each search request identifying at least one application programming interface (API) call configured to invoke at least one API function as exposed by a software application. The processor can transmit the search requests to the software applications and receive search responses. The processor can determine a plurality of software application users and a set of associated evidence, each set of associated evidence including user interactions with each of the software applications. The processor can aggregate the evidence into an aggregated data set and configure the aggregated data set as an input to a machine learning classifier for ranking the sets of evidence.