Abstract: A source of a login attempt to a user account can be classified using machine learning. For example, a computing system can input user activity observations associated with one or more login attempts to one or more user accounts into a trained machine learning model. One or more distinguishing factors for the one or more login attempts can be received from the trained machine learning model. The computing system can determine a source of a current login attempt by applying a clustering algorithm to current values of the one or more distinguishing factors. The current values may be derived from current user activity observations associated with the current login attempt. The computing system can determine an authentication level for the current login attempt to the user account based on the source of the current login attempt.

Abstract: Disclosed herein are methods, apparatuses, and devices for treating skin, such as skin tightening or for treating diseases, disorders, and conditions that would benefit from tissue area or volume reduction, skin restoration, skin tightening, skin lifting, or skin repositioning. Such methods and devices include an ablative apparatus, a removal apparatus, and/or a positioning apparatus.

Abstract: The present invention features methods of manipulating subdermal fat in a treatment area. Such methods include inserting a needle (e.g., a micro-coring needle) through the dermis to the subdermal fat layer in order to excise a portion of tissue from the treatment area. These insertions result in a portion of the dermis and a portion of the subdermal fat to enter into the needle. Removal of the needle results in excision of the portion of dermis and subdermal fat that entered into the needle.

Abstract: Account permissions and data accessibility can be modified based on level of confidence for a login attempt to the account. User activity observations corresponding to one or more login attempts to access a user account can be stored. A confidence score associated with a successful login attempt of the user account can be determined. The confidence score is based on the user activity observations. A level of access to an application with functions and data for the user account can be determined. The level of access is based on the confidence score. The level of access is associated with the functions and the data that are executable and accessible subsequent to the successful login attempt.

Abstract: Luminaires are described herein employing waveguides and associated architectures for dynamic alteration of illuminance distribution patterns. The waveguide includes a light extraction component. The waveguide transmits light from a light source to the light extraction component by total internal reflection (TIR). The light extraction component includes one or more reversibly moveable surfaces for altering illuminance distribution patterns of the luminaire in response to one or more forces applied to the light extraction component by a force application assembly of the luminaire.

Abstract: A vocational vehicle includes a chassis, a cab supported by the chassis, a body supported by the chassis and defining a compartment, a lift assembly coupled to the body so that the lift assembly is configured to move between a lowered position and a raised position along a path, a sensor defining a field of view that at least partially includes the path of the lift assembly, and a vehicle control system in communication with the lift assembly and the sensor. The vehicle control system includes a controller having a processor and at least one memory. The controller is configured to detect that the lift assembly is activated to move and disable the sensor.

Abstract: A method can include intercepting, by an interceptor positioned between a transfer system and a transfer settlement system, a transaction prior to the transaction being provided to the transfer settlement system. The method can include confirming that data from the transaction matches information in an immutable ledger to which parameters of the transaction have been provided by a notary system that confirms the parameters of the transaction and applies a signature using a private key to the transaction in response to confirming the parameters. The method can include, in response to confirming that the data matches the information, providing the transaction for settlement by the transfer settlement system.

Abstract: A method can include intercepting, by an interceptor positioned between a transfer system and a transfer settlement system, a transaction prior to the transaction being provided to the transfer settlement system. The method can include confirming that data from the transaction matches information in an immutable ledger to which parameters of the transaction have been provided by a notary system that confirms the parameters of the transaction and applies a signature using a private key to the transaction in response to confirming the parameters. The method can include, in response to confirming that the data matches the information, providing the transaction for settlement by the transfer settlement system.

Abstract: A source of a login attempt to a user account can be classified using machine learning. For example, a computing system can input user activity observations associated with one or more login attempts to one or more user accounts into a trained machine learning model. One or more distinguishing factors for the one or more login attempts can be received from the trained machine learning model. The computing system can determine a source of a current login attempt by applying a clustering algorithm to current values of the one or more distinguishing factors. The current values may be derived from current user activity observations associated with the current login attempt. The computing system can determine an authentication level for the current login attempt to the user account based on the source of the current login attempt.

Abstract: Disclosed herein are methods, apparatuses, and devices for treating skin, such as skin tightening or for treating diseases, disorders, and conditions that would benefit from tissue area or volume reduction, skin restoration, skin tightening, skin lifting, or skin repositioning. Such methods and devices include an ablative apparatus, a removal apparatus, and/or a positioning apparatus.

Abstract: A source of a login attempt to a user account can be classified using machine learning. For example, a computing system can input user activity observations associated with one or more login attempts to one or more user accounts into a trained machine learning model. One or more distinguishing factors for the one or more login attempts can be received from the trained machine learning model. The computing system can determine a source of a current login attempt by applying a clustering algorithm to current values of the one or more distinguishing factors. The current values may be derived from current user activity observations associated with the current login attempt. The computing system can determine an authentication level for the current login attempt to the user account based on the source of the current login attempt.

Abstract: Database systems and methods are provided for visual design and customization of processes for web applications. One method involves obtaining, from a process flow builder graphical user interface (GUI) display at a client device, a sequence of configured components within a region of the process flow builder GUI display, automatically generating process flow code corresponding to the sequence of configured components within the region of the process flow builder GUI display, modifying one or more references within the process flow code from a first namespace associated with a first package corresponding to a virtual application supported by an application platform to a generic namespace, resulting in modified process flow code, and storing the modified process flow code to a location within a second package independent of the application platform.

Abstract: Luminaires are described herein employing waveguides and associated architectures for dynamic alteration of illuminance distribution patterns. The waveguide includes a light extraction component. The waveguide transmits light from a light source to the light extraction component by total internal reflection (TIR). The light extraction component includes one or more reversibly moveable surfaces for altering illuminance distribution patterns of the luminaire in response to one or more forces applied to the light extraction component by a force application assembly of the luminaire.

Abstract: A method can include intercepting, by an interceptor positioned between a transfer system and a transfer settlement system, a transaction prior to the transaction being provided to the transfer settlement system. The method can include confirming that data from the transaction matches information in an immutable ledger to which parameters of the transaction have been provided by a notary system that confirms the parameters of the transaction and applies a signature using a private key to the transaction in response to confirming the parameters. The method can include, in response to confirming that the data matches the information, providing the transaction for settlement by the transfer settlement system.

Abstract: A transaction system can include a computing device with a communication port, a processor device, and a non-transitory computer-readable storage memory. The communication port can communicate data with other computing devices. The non-transitory computer-readable storage memory includes code that is executable by the processor device to perform operations. The operations include receiving parameters of a transfer, verifying the transfer using a multi-factor authentication process, in response to verifying the transfer, using a private key to countersign the transfer and return, via the communications port, a signed transfer package for execution of the transfer, and providing, via the communications port, the parameters of the transfer and countersign data to an immutable ledger.

Abstract: Database systems and methods are provided for visual design and customization of processes for web applications. A method involves identifying a plurality of configured actions added to an aggregate action component region on a graphical user interface (GUI) display, automatically generating configured code for each of the configured actions in accordance with a respective user configuration of the respective configured action, identifying a user configuration associated with the aggregate action component, automatically generating aggregate action component code configurable to cause a browser application to initiate the configured code for each of the configured actions in parallel in accordance with the user configuration, and automatically generating process flow code including a reference to the aggregate action component code in accordance with a sequence defined for a web page.

Abstract: Account permissions and data accessibility can be modified based on level of confidence for a login attempt to the account. User activity observations corresponding to one or more login attempts to access a user account can be stored. A confidence score associated with a successful login attempt of the user account can be determined. The confidence score is based on the user activity observations. A level of access to an application with functions and data for the user account can be determined. The level of access is based on the confidence score. The level of access is associated with the functions and the data that are executable and accessible subsequent to the successful login attempt.

Abstract: A source of a login attempt to a user account can be classified using machine learning. For example, a computing system can input user activity observations associated with one or more login attempts to one or more user accounts into a trained machine learning model. One or more distinguishing factors for the one or more login attempts can be received from the trained machine learning model. The computing system can determine a source of a current login attempt by applying a clustering algorithm to current values of the one or more distinguishing factors. The current values may be derived from current user activity observations associated with the current login attempt. The computing system can determine an authentication level for the current login attempt to the user account based on the source of the current login attempt.

Abstract: Luminaires are described herein employing waveguides and associated architectures for dynamic alteration of illuminance distribution patterns. The waveguide includes a light extraction component. The waveguide transmits light from a light source to the light extraction component by total internal reflection (TIR). The light extraction component includes one or more reversibly moveable surfaces for altering illuminance distribution patterns of the luminaire in response to one or more forces applied to the light extraction component by a force application assembly of the luminaire.

Abstract: Account permissions and data accessibility can be modified based on level of confidence for a login attempt to the account. User activity observations corresponding to one or more login attempts to access a user account can be stored. A confidence score associated with a successful login attempt of the user account can be determined. The confidence score is based on the user activity observations. A level of access to an application with functions and data for the user account can be determined. The level of access is based on the confidence score. The level of access is associated with the functions and the data that are executable and accessible subsequent to the successful login attempt.