Abstract: A method includes determining where to place one or more devices at a site. Each device includes a first sensor configured to measure a concentration of a greenhouse gas (GHG). The method also includes measuring the concentration of the GHG with the first sensors. The method also includes quantifying a rate that the GHG is emitted based at least partially upon the measured concentration of the GHG. The method also includes determining a location of a GHG-emitting source at the site that is emitting the GHG that is measured by the first sensors. The location is determined based at least partially upon the measured concentration, the quantified rate, or both. The method also includes identifying the GHG-emitting source at the determined location by comparing the determined location with a list of a plurality of GHG-emitting sources at the site and locations thereof.

Abstract: A system and method that includes querying a database to obtain offset well data collected while drilling previously drilled wells. The system and method also include determining if at least one risk is identified with respect to a planned well based on the offset well data. The system and method additionally include generating a machine learning model based on the at least one risk that is identified based on the offset well data. The system and method further include predicting at least one drilling risk based on the machine learning model, wherein a drill plan that includes drilling parameters is adjusted based on the at least one predicted drilling risk.

Abstract: A method, computing system, and non-transitory computer-readable medium, of which the method includes receiving offset well data collected while drilling one or more offset wells, generating a machine learning model configured to predict drilling risks from drilling measurements or inferences, based on the offset well data, receiving drilling parameters for a new well, determining that the drilling parameters are within an engineering design window, generating a drilling risk profile for the new well using the machine learning model, and adjusting one or more of the drilling parameters for the new well, after determining the drilling parameters are within the engineering design window, and after determining the drilling risk profile, based on the drilling risk profile.

Abstract: An assembly-ready joint for an aircraft assembly is disclosed. The joint includes a first joint part having a spigot. The joint also has a second joint part with a housing. A floating socket is in an interior of the housing. The second joint part receives the spigot in the floating socket. The joint is arranged to receive a curable medium, such as curable resin, in the interior to contract between the housing and the floating socket.

Abstract: A system and method are provided for extracting information regarding a drill site including forming one or more documents having one or more raw comments regarding a well site. Raw data may be extracted from the one or more documents to produce extracted raw data. The extracted raw date may be pre-processed by removing ambiguity, artifacts, and/or formatting errors from the one or more raw comments to produce pre-processed data. Topics data may be extracted from the pre-processed data using a natural language processing (NLP) algorithm to produce extracted topics data. Measurement data may also be extracted from the pre-processed data using the NLP algorithm to produce extracted measurement data. The extracted topics data and the extracted measurement data may be aggregated to form a set of discrete data points, such as calibration points, per comment to produce aggregated data and one more calibration points may be identified from the aggregated data.

Abstract: A network device receives first signaling from a first parent device that assigns a first task for completion by a first child, and includes a first task allotment designated by the parent for the first child's completion of the first task. The network device receives second signaling, from a first child device, indicating that the first child has completed the first task. The network device sends third signaling to the first parent device requesting approval of the completion of the first task, and receives, responsive to the third signaling, an indicator of an approval, or a rejection, from the first parent device. The network device initiates provision of the first task allotment to the first child based on receipt of the indicator of approval from the first parent device.

Abstract: The present invention provides matched antibody pairs for the specific detection of one or more of the four dengue virus serotypes in a biological sample that may contain one or more of such dengue virus serotypes. Each matched antibody pair is capable of detecting not more than one serotype of dengue virus NS1 protein that may be present in the sample and will not cross react with other serotypes that may be present in the sample. Multiple matched pairs may be used to detect one or more dengue virus serotypes that may be present in a sample. Such matched pair antibodies, facilitate the development of confirmatory in vitro diagnostic tests such as sandwich immunoassays, that detect and distinguish the presence of one or more dengue virus serotypes in a biological sample, preferably a sample derived from human subject.

Abstract: Methods and systems for determining a property of a tubular are described. Measurement data of cross-sectional shapes of the tubular at a plurality of depth positions is provided. A three-dimensional mesh representing the tubular based on the cross-sectional shapes is generated. A stress simulation using the three-dimensional mesh to provide an integrity assessment of the tubular is performed.

Abstract: A method, computing system, and non-transitory computer-readable medium, of which the method includes receiving offset well data collected while drilling one or more offset wells, generating a machine learning model configured to predict drilling risks from drilling measurements or inferences, based on the offset well data, receiving drilling parameters for a new well, determining that the drilling parameters are within an engineering design window, generating a drilling risk profile for the new well using the machine learning model, and adjusting one or more of the drilling parameters for the new well, after determining the drilling parameters are within the engineering design window, and after determining the drilling risk profile, based on the drilling risk profile.

Abstract: A method, computing system, and non-transitory computer-readable medium, of which the method includes receiving offset well data collected while drilling one or more offset wells, generating a machine learning model configured to predict drilling risks from drilling measurements or inferences, based on the offset well data, receiving drilling parameters for a new well, determining that the drilling parameters are within an engineering design window, generating a drilling risk profile for the new well using the machine learning model, and adjusting one or more of the drilling parameters for the new well, after determining the drilling parameters are within the engineering design window, and after determining the drilling risk profile, based on the drilling risk profile.

Abstract: A cushion therapy device including a body, wherein the body has a channel formed therein. The cushion therapy device has a lower member and an upper member, each connected with the body. The cushion therapy device can have additional attachments and sensors for therapeutic relief.

Abstract: Methods and systems for determining a property of a tubular are described. Measurement data of cross-sectional shapes of the tubular at a plurality of depth positions is provided. A three-dimensional mesh representing the tubular based on the cross-sectional shapes is generated. A stress simulation using the three-dimensional mesh to provide an integrity assessment of the tubular is performed.

Abstract: The present invention provides matched antibody pairs for the specific detection of one or more of the four dengue virus serotypes in a biological sample that may contain one or more of such dengue virus serotypes. Each matched antibody pair is capable of detecting not more than one serotype of dengue virus NS1 protein that may be present in the sample and will not cross react with other serotypes that may be present in the sample. Multiple matched pairs may be used to detect one or more dengue virus serotypes that may be present in a sample. Such matched pair antibodies, facilitate the development of confirmatory in vitro diagnostic tests such as sandwich immunoassays, that detect and distinguish the presence of one or more dengue virus serotypes in a biological sample, preferably a sample derived from human subject.

Abstract: A method, computing system, and non-transitory computer-readable medium, of which the method includes receiving offset well data collected while drilling one or more offset wells, generating a machine learning model configured to predict drilling risks from drilling measurements or inferences, based on the offset well data, receiving drilling parameters for a new well, determining that the drilling parameters are within an engineering design window, generating a drilling risk profile for the new well using the machine learning model, and adjusting one or more of the drilling parameters for the new well, after determining the drilling parameters are within the engineering design window, and after determining the drilling risk profile, based on the drilling risk profile.

Abstract: An assembly-ready joint for an aircraft assembly is disclosed. The joint includes a first joint part having a spigot. The joint also has a second joint part with a housing. A floating socket is in an interior of the housing. The second joint part receives the spigot in the floating socket. The joint is arranged to receive a curable medium, such as curable resin, in the interior to contract between the housing and the floating socket.

Abstract: The present invention provides matched antibody pairs for the specific detection of one or more of the four dengue virus serotypes in a biological sample that may contain one or more of such dengue virus serotypes. Each matched antibody pair is capable of detecting not more than one serotype of dengue virus NS1 protein that may be present in the sample and will not cross react with other serotypes that may be present in the sample. Multiple matched pairs may be used to detect one or more dengue virus serotypes that may be present in a sample. Such matched pair antibodies, facilitate the development of confirmatory in vitro diagnostic tests such as sandwich immunoassays, that detect and distinguish the presence of one or more dengue virus serotypes in a biological sample, preferably a sample derived from human subject.

Abstract: A network device receives first signaling from a first parent device that assigns a first task for completion by a first child, and includes a first task allotment designated by the parent for the first child's completion of the first task. The network device receives second signaling, from a first child device, indicating that the first child has completed the first task. The network device sends third signaling to the first parent device requesting approval of the completion of the first task, and receives, responsive to the third signaling, an indicator of an approval, or a rejection, from the first parent device. The network device initiates provision of the first task allotment to the first child based on receipt of the indicator of approval from the first parent device.

Abstract: The invention relates to a self-extracting stopper which can be accommodated inside the neck of the bottle, and which does not require a corkscrew or any other tool for the extraction thereof, formed by an assembly of parts preferably made of a plastic material and which, once assembled, permit a bottle or container to be stoppered. The face of the drum (8) and the surface of revolution of the flexible cylinder (4) can also carry marks that are engraved or in shallow relief. In this way, the assembly of the self-extracting stopper is formed by six elements and a cork cover (1), a nut (2), a flexible cylinder (5), a drum (8), a screw (12) and a wing nut (15), all of which are disposed and assembled according to their axial geometry, and which permit a method and process to be provided whereby bottles and/or containers can be stoppered or opened manually or automatically, and said self-extracting stopper being reusable.

Abstract: The present invention provides a multiplexed immunoassay which leverages stockpiled antibodies to detect whether a patient has been infected with an emerging disease which does not have specific antibodies raised against it (FIG. 1). The assay is preferably designed as a paper-based assay, which allows diagnosis at point of care (POC) and readout by eye or mobile phone. Paper-based rapid diagnostic tests (RDTs) are convenient, robust, and can be read out within minutes. The immunoassay of the invention combines the strategic use of nanoparticles of assorted colors with readily available stockpiled antibodies to one or more biomarkers of disease, particularly viral diseases.

Abstract: An improved carrying case adapted to releasably retain items within the interior volume of the pocket, prevent radio waves from entering the interior volume and unauthorized access to one's phone and credit cards, and help block signal saturation to the skin and body, while maintaining the integrity of the equipment.