Abstract: A method for annealing an absorber layer is disclosed, the method including contacting a surface of the absorber layer with an annealing material provided as a gel. The annealing material comprises cadmium chloride and a thickening agent. A viscosity of the gel of the annealing material is greater than or equal to 5 millipascal seconds.

Abstract: A method includes moving a stabilization device comprising a stabilization surface relative to a base of a surgical cart, wherein the moving comprises moving the stabilization device from a retracted position in which the stabilization surface is spaced from the ground surface to a deployed position in which the stabilization surface is in contact with the ground surface, and wherein the moving comprises overcoming a biasing force biasing the stabilization device toward the retracted position.

Abstract: A non-integrated vascular access system includes a connector having a distal port configured to be coupled to a hub of a catheter, a proximal port, a first lumen extending between the distal and proximal ports and in fluid communication with a second lumen defined by the catheter when the distal port is coupled to the hub, a side port arranged in the connector between the proximal and distal couplers, with the side port configured to be in fluid communication with the first lumen, and a fluid conduit having a proximal end coupled to the side port and a distal end, with the fluid conduit in fluid communication with the side port and configured to extend distally from the connector. The system includes a stabilization portion connected to the connector and configured to contact a patient, and a stabilization anchor platform spaced from the connector and positioned along the fluid conduit.

Abstract: An integrated catheter system includes a catheter adapter comprising a catheter, a body receiving the catheter, and a side port in fluid communication with the catheter, a first line in fluid communication with the catheter, a second line in fluid communication with the catheter, a first connector coupled to the first line, and a second connector coupled to the second line.

Abstract: An integrated catheter system includes a catheter adapter having a catheter, a body receiving the catheter, and a side port in fluid communication with the catheter, an integrated extension set including a proximal access port coupled to a proximal end portion of the integrated extension set, with the integrated extension set in fluid communication with the side port of the catheter adapter, and a stabilization platform spaced from the body of the catheter adapter and positioned along the integrated extension set.

Abstract: A catheter assembly includes a catheter adapter having a distal end, a proximal end, a lumen extending between the distal end and the proximal end, and a side port arranged between the distal end and the proximal end, with the side port in fluid communication with the lumen. The assembly further includes a catheter secured to the distal end of the catheter adapter and extending distally from the catheter adapter, a fluid conduit having a proximal end coupled to the side port and a distal end, with the fluid conduit in fluid communication with the side port, an elongated arm configured to extend distally away from the catheter adapter, and a stabilization platform spaced from the catheter adapter and positioned along the fluid conduit.

Abstract: Provided are systems and methods for matching two strings together. The process can identify differences between the two strings, store values representing the differences between the two strings in a vector and compare the vectorized string difference values to each other using machine learning. In one example, a method may include receiving a request to compare a source string and a target string, generating a vector and encoding attributes within the vector, wherein the attributes comprise editing steps for converting the source string into the target string, determining whether the source string is a match to the target string via execution of a machine learning model on the generated vector with the attributes encoded therein, and storing a determination output of the machine learning model in memory.

Abstract: Provided are systems and methods for verification and management of benefit administration. The system can determine the eligibility of users to receive basic income and other forms of benefits, grants, aid, etc. Furthermore, the system can automate and manage the distribution of such benefits while creating an immutable/auditable trail of the disbursements. Accordingly, the verification system described herein can prevent fraud and other forms of malfeasance within the benefit administration process.

Abstract: A manufacturing cell for welding a workpiece includes a robotic arm extending between a base and a terminal end, a weld head coupled to the terminal end of the robotic arm such that the weld head is permitted to travel relative to the base of the robotic arm, wherein the weld head is configured to weld the workpiece, a sensor pod coupled to the weld head and including an outer pod housing defining an internal chamber extending between a front end and a rear end of the pod housing, and wherein the front end of the pod housing defines a receptacle, a sensor positioned in the internal chamber of the pod housing, the sensor configured to provide sensor feedback associated with the workpiece, and a consumable window including a transparent material is insertable into the receptacle such that a longitudinal axis of the sensor intersects the consumable window when the consumable window is inserted into the receptacle, and a controller coupled to the sensor pod and configured to operate at least one of the robotic ar

Abstract: This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, that provide for optical techniques for manufacturing robots, such as for filtering certain reflections when scanning an object. For example, the techniques may include receiving, from a detector, sensor data based on detected light, the detected light including reflections of light projected by one or more emitters and reflected off of an object. The techniques may further include determining, based on the sensor data, a first-order reflection and a second-order reflection. The techniques may also include determining, based on the first-order reflection and a second-order reflection, a difference, the difference includes a polarity difference, an intensity difference, or a combination thereof. The techniques may include filtering the second-order reflection based on the difference Other aspects and features are also claimed and described.

Abstract: Provided are systems and methods for recommending and prioritizing jobs to pursue, as well as skills, credentials, education, and the like to obtain, targeted to both individuals and consultants, coaches, etc. who may help those individuals. The prioritizing and the recommending may be performed based on a skills graph that includes nodes representing entities, and edges annotated with shared skills information between the entities. Thus, the skills graph can be used to find entities that are similar to each other in terms of skills.

Abstract: Provided are systems and methods for building a skills certificate. In some embodiments, the host platform may be a web server, a cloud platform, a database, or the like, which hosts an application such as a mobile application, a progressive web application, or the like.

Abstract: Provided are systems and methods for identifying a counterpart entity of a transaction from a transaction string. In one example, a method may include identifying a transaction string from an account of a target entity, the transaction string comprising a record of a payment that changed a balance of the account, executing a machine learning model based on the transaction string to determine a counterpart entity of the transaction with respect to the target entity, wherein, during execution, the machine learning model receives the transaction string as input and outputs an identifier of the counterpart entity, generating a data structure comprising a first field that stores the transaction string and a second field that stores an identifier of the counterpart entity, and storing the data structure within a file.

Abstract: Provided are systems and methods for identifying unclaimed sources of funds such as employers, gig opportunities, businesses, and the like. The process can be used as part of a larger process that may also include fraud checks, deduplication of data, verification of users, analytical insight, and the like. In one example, a method may include establishing a communication channel with a third-party data source via an application programming interface (API), ingesting data records of the user from the third-party data source via the established communication channel based on an account identifier, identifying an unclaimed source of income based on a data value stored within the ingested data records, and displaying an identifier of the unclaimed source of income and an input mechanism which is configured to confirm the identified unclaimed source of income.

Abstract: Various implementations include a device for subdermal insertion of solid media. The device includes a handle having a central plane, a needle, and a guide. The needle is coupled to and extending from the handle. The needle has a needle longitudinal axis and a distal tip disposed along the needle longitudinal axis and the central plane. The guide extends from the handle. The guide has a distal end disposed along the central plane. The distal end of the guide is disposed further than the distal tip of the needle from the handle. The distal tip of the needle is visible when viewed along the central plane and perpendicular to an axis including the distal end of the guide and the distal tip of the needle.

Abstract: Provided are systems and methods for recommending job opportunities via a machine learning engine which is coupled to an enrichment pipeline. The enrichment pipeline can add skills information and other beneficial data to enrich a job profile of a user and use the enriched record to predict an optimal job opportunity or set of opportunities. In one example, the method includes receiving a description of employment data, identifying a unique identifier of a job profile based on the description of the employment data, querying a database with the unique identifier to retrieve a list of skills from the database and that are mapped to the unique identifier, transforming the list of skills from into a skills vector, determining one or more optimal job opportunities via execution of a ML model on the skills vector, and outputting information about the optimal job opportunities via a user interface.

Abstract: Provided are systems and methods for verifying an identity of a user based on a data mesh created from various sources of truth. In one example, a method may include establishing, via a host platform, a first and a authenticated communication channel between a host server of a user account and a host server of a second user account, retrieving, via the first and second authenticated communication channels, PII of the user from the first and second user accounts and combining the PII into a meshed data set, determining a difference between the PII within the meshed data set, and verify an identity of the user based on the determined difference between the PII within the meshed data set and transmitting the verification to a computer system.

Abstract: Provided are systems and methods for identifying a counterpart entity of a transaction from a transaction string. In one example, a method may include identifying a transaction string from an account of a target entity, the transaction string comprising a record of a payment that changed a balance of the account, executing a machine learning model based on the transaction string to determine a counterpart entity of the transaction with respect to the target entity, wherein, during execution, the machine learning model receives the transaction string as input and outputs an identifier of the counterpart entity, generating a data structure comprising a first field that stores the transaction string and a second field that stores an identifier of the counterpart entity, and storing the data structure within a file.

Abstract: Provided are systems and methods which can use machine learning to draw additional inferences about transaction records from transaction strings. The inferred data can be used to build a classification model configured to map transaction string to predefined categories. In one example, a method may include receiving a file comprising transaction strings corresponding to a plurality of transaction records, executing the machine learning model on the transaction strings to identify a plurality of categories associated with the transaction strings, generating a classifier model that comprises patterns of keywords from the transactions strings mapped to the plurality of identified categories, respectively, and storing the classifier model in the data store.