Abstract: A fail-safe release mechanism for use with patient positioning support apparati having a base structure and a patient support structure, to prevent collapse of the patient support during disconnection of the patient support structure from the base structure.

Abstract: A fail-safe release mechanism for use with patient positioning support apparati having a base structure and a patient support structure, to prevent collapse of the patient support structure during disconnection of the patient support structure from the base structure at outboard ends thereof.

Abstract: A method is provided for adjusting a viewing direction for an articulatable medical device. The method comprises: receiving a command indicating adjusting a viewing direction of the articulatable medical device; determining a sensing region from an imaging sensor based at least in part on the viewing direction, the imaging sensor is located at a distal end of the articulatable medical device; generating an image based on signals from the sensing region; and processing the image to correct at least one of a projection distortion, contrast and color of the image.

Abstract: A fail-safe release mechanism for use with patient positioning support apparati having a base structure and a patient support structure, to prevent collapse of the patient support structure during disconnection of the patient support structure from the base structure at outboard ends thereof.

Abstract: The invention provides a comprehensive system, method and computer program product for data structure clustering based on variation in data attribute performance. In general, the invention is configured to link a sub-set of data structures out of a global set of data structures based on identifying stimulus type attributes that are structured to produce a functional performance parameter of the associated data structure, particularly in the field of hospital data analysis. Typically, the invention is configured to receive a request for construction of a peer data cluster for a first functional performance parameter of the first entity data structure. The invention may then determine at least one second entity data structure of a plurality of entity data structures that is a peer entity data structure, and linking the first entity data structure and the second entity data structure to form the peer data cluster.

Abstract: A surgery table includes a patient support structure coupled to a connection assembly and a base structure coupled to the connection assembly. The connection assembly includes an arm and a locking member that engages the arm. The arm includes spaced apart first and second apertures. The locking member includes spaced apart first and second bores. A first key member and a second key member are included.

Abstract: An implant magazine for use with a driver includes a plurality of implants, an implant carrier defining a plurality of apertures, each implant of the plurality of implants being disposed within an aperture of the plurality of apertures, wherein an implant is disengaged from the implant carrier upon application of a predetermined force applied to the implant, and a base defining a cavity in which the implant carrier and the plurality of implants are disposed. A cartridge for use with a driver includes the implant magazine, a housing in which the implant magazine is disposed, and a blade having a longitudinal axis and being at least partially and rotatably disposed within the housing. A kit includes a driver, a motor, and the cartridge configured for cooperation with the driver to be operated by the motor. A method of using the driver includes inserting an implant into a medium.

Abstract: The invention provides a comprehensive system, method and computer program product for data structure clustering based on variation in data attribute performance. In general, the invention is configured to link a sub-set of data structures out of a global set of data structures based on identifying stimulus type attributes that are structured to produce a functional performance parameter of the associated data structure, particularly in the field of hospital data analysis. Typically, the invention is configured to receive a request for construction of a peer data cluster for a first functional performance parameter of the first entity data structure. The invention may then determine at least one second entity data structure of a plurality of entity data structures that is a peer entity data structure, and linking the first entity data structure and the second entity data structure to form the peer data cluster.

Abstract: The invention provides a comprehensive system, method and computer program product for data structure clustering based on variation in data attribute performance. In general, the invention is configured to link a sub-set of data structures out of a global set of data structures based on identifying stimulus type attributes that are structured to produce a functional performance parameter of the associated data structure, particularly in the field of hospital data analysis. Typically, the invention is configured to receive a request for construction of a peer data cluster for a first functional performance parameter of the first entity data structure. The invention may then determine at least one second entity data structure of a plurality of entity data structures that is a peer entity data structure, and linking the first entity data structure and the second entity data structure to form the peer data cluster.

Abstract: A fail-safe release mechanism for use with patient positioning support apparati having a base structure and a patient support structure, to prevent collapse of the patient support during disconnection of the patient support structure from the base structure.

Abstract: The invention provides a comprehensive system, method and computer program product for data structure clustering based on variation in data attribute performance. In general, the invention is configured to link a sub-set of data structures out of a global set of data structures based on identifying stimulus type attributes that are structured to produce a functional performance parameter of the associated data structure, particularly in the field of hospital data analysis. Typically, the invention is configured to receive a request for construction of a peer data cluster for a first functional performance parameter of the first entity data structure. The invention may then determine at least one second entity data structure of a plurality of entity data structures that is a peer entity data structure, and linking the first entity data structure and the second entity data structure to form the peer data cluster.

Abstract: An implant magazine for use with a driver includes a plurality of implants, an implant carrier defining a plurality of apertures, each implant of the plurality of implants being disposed within an aperture of the plurality of apertures, wherein an implant is disengaged from the implant carrier upon application of a predetermined force applied to the implant, and a base defining a cavity in which the implant carrier and the plurality of implants are disposed. A cartridge for use with a driver includes the implant magazine, a housing in which the implant magazine is disposed, and a blade having a longitudinal axis and being at least partially and rotatably disposed within the housing. A kit includes a driver, a motor, and the cartridge configured for cooperation with the driver to be operated by the motor. A method of using the driver includes inserting an implant into a medium.

Abstract: The disclosure relates to a method for analyzing earth samples of a geological formation, comprising: performing a Fourier Transform InfraRed (FTIR) spectrometry measurement on an earth sample collected in the formation by: Irradiating the sample with infrared energy Measuring a spectrum representative of the infrared energy absorbed by the earth sample, analyzing the measured spectrum and obtaining from the analyzed measured spectrum a reconstructed spectrum corresponding to a combination of a plurality of standard spectra representative of elements contained in the earth sample, based on the measured spectrum and on the reconstructed spectrum, detecting a tar layer in the geological formation.

Abstract: Oil-based mud cuttings are cleaned of drilling fluid and mud additives. After sorting and rinsing the cuttings with diesel, the cuttings are put in a syringe, which is repeatedly filled and emptied of diesel. The cuttings are then washed in the syringe with pentane. The cuttings are then crushed and exposed to a solvent a second time. Instead of placing the cuttings in the syringe, alternatively, the cuttings remain on a sieve and the syringe is used to spray the cuttings with diesel, followed by pentane.

Abstract: Oil-based mud cuttings are cleaned of drilling fluid and mud additives. After sorting and rinsing the cuttings with diesel, the cuttings are put in a syringe, which is repeatedly filled and emptied of diesel. The cuttings are then washed in the syringe with pentane. The cuttings are then crushed and exposed to a solvent a second time. Instead of placing the cuttings in the syringe, alternatively, the cuttings remain on a sieve and the syringe is used to spray the cuttings with diesel, followed by pentane.

Abstract: A fail-safe release mechanism for use with patient positioning support apparati having a base structure and a patient support structure, to prevent collapse of the patient support during disconnection of the patient support structure from the base structure.

Abstract: A fail-safe release mechanism for use with patient positioning support apparati having a base structure and a patient support structure, to prevent collapse of the patient support during disconnection of the patient support structure from the base structure.

Abstract: A method for determining mineralogy of a formation includes determining a model of arenites in the formation by performing a first type of linear regression on a plurality of elemental dry weights of the formation based upon a sum of elemental dry weights of calcium and magnesium being at least a given value, or performing a second type of linear regression on the elemental dry weights based upon the sum of the elemental dry weights of elemental calcium and magnesium being less than the given value. A model of arkoses in the formation is determined by performing a third type of linear regression on the elemental dry weights. A partitioning function is then determined. The mineralogy of the formation is then determined by applying the partitioning function to the model of arenites and the model of arkoses, and adding the model of arenites and the model of arkoses together.

Abstract: The disclosure relates to a method for analyzing earth samples of a geological formation, comprising: performing a Fourier Transform InfraRed (FTIR) spectrometry measurement on an earth sample collected in the formation by: Irradiating the sample with infrared energy Measuring a spectrum representative of the infrared energy absorbed by the earth sample, analyzing the measured spectrum and obtaining from the analyzed measured spectrum a reconstructed spectrum corresponding to a combination of a plurality of standard spectra representative of elements contained in the earth sample, based on the measured spectrum and on the reconstructed spectrum, detecting a tar layer in the geological formation.

Abstract: A method for determining mineralogy of a formation includes determining a model of arenites in the formation by performing a first type of linear regression on a plurality of elemental dry weights of the formation based upon a sum of elemental dry weights of calcium and magnesium being at least a given value, or performing a second type of linear regression on the elemental dry weights based upon the sum of the elemental dry weights of elemental calcium and magnesium being less than the given value. A model of arkoses in the formation is determined by performing a third type of linear regression on the elemental dry weights. A partitioning function is then determined. The mineralogy of the formation is then determined by applying the partitioning function to the model of arenites and the model of arkoses, and adding the model of arenites and the model of arkoses together.