Abstract: A method for determining a trust indicator is provided. The method may include interpreting, via an Internet of Things Universal Identifier (IoT UID) processing circuit, an IoT UID corresponding to a device and identifying, via a record management circuit and based at least in part on the IoT UID, a record in a database corresponding to the device. The method may further include determining, via a trust analysis circuit and based at least in part on the record, a risk indicator of the device and transmitting, via an indicator provisioning circuit, the risk indicator.

Abstract: Disclosed is a platform that manages worker users in a temporary staffing environment via an artificial machine learning model. The temporary staffing platform matches available workers to available shifts/gigs. Additional features include generating provisional or near-miss matches and informing workers how to turn those near-misses into full matches, plotting a gig-career path to develop additional skills, gamify development, and automatically generate resumes. The platform generates a set of skill tags associated with each shift/gig performed by the user. Designing of resume text files by the artificial machine learning model includes procedurally generated descriptions of experience the a user has based on the recording of each shift/gig performed by the user and the skill tags associated with each recorded shift/gig, wherein a format of the resume text file is formulated by the artificial machine learning model evaluating a mix of skill tags and employers amassed by the user.

Abstract: Genetically modified microorganisms that have the ability to convert carbon substrates into chemical products such as isobutanol are disclosed. For example, genetically modified methanotrophs that are capable of generating isobutanol at high titers from a methane source are disclosed. Methods of making these genetically modified microorganisms and methods of using them are also disclosed.

Abstract: A method for registering one or more Greenfield devices via a virtual Internet of Things Universal Identifier (IoT UID) is provided. The method includes identifying one or more Brownfield devices, generating device property data based at least in part on the one or more Brownfield devices, and transmitting, to an IoT device registrar server, a registration request that includes the device property data. The method further includes interpreting one or more IoT UIDs generated in response to the transmitting of the registration request.

Abstract: An apparatus for an Internet of Things device registry display includes a user input processing circuit structured to interpret one or more user input command values, an Internet of Things Universal Identification (IoT UID) identification circuit structured to determine one or more IoT UIDs, based at least in part on the one or more user input command values, a device lookup circuit structured to: generate a query that includes the one or more IoT UIDs, and retrieve device property data corresponding to the one or more IoT UIDs, a query provisioning circuit structured to transmit the query to an IoT device registrar server, a device property processing circuit structured to interpret the device property data generated by the IoT device registrar server in response to the query, and a display circuit structured to display the device property data with the corresponding one or more IoT UIDs.

Abstract: A system configured to associate information with a file. The system including memory, one or more processors, and one or more modules stored in memory and configured for execution by the one or more processors. The modules including a reader module configured to perform a lockless read of a B-tree stored in an operating system file and a writer module configured to perform a write process to the B-tree.

Abstract: A signpost system includes a signpost system includes a signpost having a lower-most base end and an opposite upper end opposite the base end, a bore clamp including at least a traffic-side clamp member and a shoulder-side clamp member wherein the traffic-side clamp member is adapted to substantially mount flush into the traffic-side of the bore in the barrier and wherein the shoulder-side clamp member is adapted to mount onto the shoulder-side of the bore, and an elongate selectively adjustable tensioner extending from and between the clamp members for mounting the clamp members in the traffic-side and in the shoulder-side of the bore respectively, and wherein the shoulder-side clamp member is adapted for mounting to the base end of the signpost.

Abstract: A waste classification system and method configured to manage information for waste materials is disclosed. The system and method may be configured to receive information pertaining to classification of waste materials. The system and method maintains and accesses a waste classification database based on material safety data sheets (MSDS) utilizing the location of the waste, and returns waste classification data that may include rules and regulations relevant to the location of the waste.

Abstract: An automated hazardous materials event response management system and method configured to manage handling of hazardous materials events is disclosed. The materials management system can be configured to receive event information pertaining to a hazardous materials event. The system accesses an event response database, and, based on the event information, directs actions to respond to the hazardous materials event.

Abstract: A materials management system and method configured to handle materials events is provided. The materials management system can be configured to receive event information, comprising information pertaining to a hazardous materials event, to store data pertaining to a plurality of hazardous materials, to retrieve stored data based on the event information and to generate a materials event response based on the retrieved information. According to one embodiment, the materials management system can include an automated telephonic interface for accepting caller input and facilitating system responses.

Abstract: User Defined Routines (UDRs), capable of being expressed in one or more languages, are handled by determining a language native to the UDR, for example, by looking up a system catalog. If a language manager associated with the native language has not been loaded already, the language manager is loaded into a server memory. If the UDR has not already been instantiated, the UDR is instantiated and initialized. Then an execution context for the UDR is created and the UDR is executed. Loading of the language manager is handled by a general language interface capable of initializing the language manager, loading the language manager, creating a language manager context, and executing the language manager.

Abstract: User Defined Routines (UDRs), capable of being expressed in one or more languages, are handled by determining a language native to the UDR, for example, by looking up a system catalog. If a language manager associated with the native language has not been loaded already, the language manager is loaded into a server memory. If the UDR has not already been instantiated, the UDR is instantiated and initialized. Then an execution context for the UDR is created and the UDR is executed. Loading of the language manager is handled by a general language interface capable of initializing the language manager, loading the language manager, creating a language manager context, and executing the language manager.