Abstract: Implementations set forth herein relate to generating training data, such that each instance of training data includes a corresponding instance of vision data and drivability label(s) for the instance of vision data. A drivability label can be determined using first vision data from a first vision component that is connected to the robot. The drivability label(s) can be generated by processing the first vision data using geometric and/or heuristic methods. Second vision data can be generated using a second vision component of the robot, such as a camera that is connected to the robot. The drivability labels can be correlated to the second vision data and thereafter used to train one or more machine learning models. The trained models can be shared with a robot(s) in furtherance of enabling the robot(s) to determine drivability of areas captured in vision data, which is being collected in real-time using one or more vision components.

Abstract: An absorbent article includes a first waist region, a second waist region and a crotch region disposed between the first and second waist regions; and a chassis comprising a topsheet, a backsheet and an absorbent core disposed between the topsheet and the backsheet. The absorbent article also includes an ear disposed in one of the waist regions. The ear includes a laminate having a first nonwoven and a second nonwoven and an elastomeric material sandwiched between said first and second nonwovens in an elasticized region. The laminate also includes a first bonding region comprising a first plurality of ultrasonic bonds having a first bond density, and a second bonding region comprising a second plurality of ultrasonic bonds having a second bond density. The first bond density is greater than the second bond density.

Abstract: The invention relates to the field of radiation oncology. The method according to the invention comprises the use of botulinum toxin and an anticholinergic to prevent glands from radiation damage and side-effects caused by to radioligands. The method according to the invention further comprises the use of botulinum toxin to prevent glands from radiation damage, wherein radiation damage is caused by radioligands. By using the method according to the invention, the present invention can provide effective protection of the glands in order to avoid radiation damage.

Abstract: Implementations set forth herein relate to generating training data, such that each instance of training data includes a corresponding instance of vision data and drivability label(s) for the instance of vision data. A drivability label can be determined using first vision data from a first vision component that is connected to the robot. The drivability label(s) can be generated by processing the first vision data using geometric and/or heuristic methods. Second vision data can be generated using a second vision component of the robot, such as a camera that is connected to the robot. The drivability labels can be correlated to the second vision data and thereafter used to train one or more machine learning models. The trained models can be shared with a robot(s) in furtherance of enabling the robot(s) to determine drivability of areas captured in vision data, which is being collected in real-time using one or more vision components.

Abstract: Various exemplary embodiments of an encapsulated shaped charge (100) may include a charge case (110), a charge lid (120) covering an open end of the charge case. and an external clip assembly connected to each of the charge case and the charge lid. The charge case may house explosive material (111) and a shaped charge liner (112). The external clip assembly may include one or more clips (140) respectively connected to each of a retainer ring (130) positioned on the charge lid, and the charge case. The retainer ring may be formed from a material that will melt or burn when exposed to fire. According to the exemplary embodiments. melting or burning the retainer ring can release the one or more clips from the retainer ring and/or charge lid.

Abstract: The method includes fixing the tissue sample with a first fixation solution immersing the tissue sample in a delipidation solution including a chaotropic agent configured to induce a swelling of the sample; staining the tissue sample; dehydrating the tissue sample in an organic dehydration solution, the dehydration solution configured to induce a shrinking of the sample; and immersing the fixed tissue sample in an organic clearing solution.

Abstract: Disclosed embodiments may describe a jacket. The jacket includes a back wall, top wall, bottom wall, and first and second sidewalls extending from the back wall and between the top and bottom walls. An internal cavity of the jacket is defined by the back wall, the top wall, the bottom wall, and the sidewalls. A slotted shaped charge housed in the internal cavity is retained by a retention latch that extends from an internal surface of at least one of the top wall, the bottom wall, the first and second sidewalls. The jacket may be positioned in a shaped charge receptacle formed in a shaped charge carrier. An orientation slot or tab may be formed into a peripheral edge portion of the receptacle, and a key may be configured for being received within the orientation slot.

Abstract: Implementations set forth herein relate to generating training data, such that each instance of training data includes a corresponding instance of vision data and drivability label(s) for the instance of vision data. A drivability label can be determined using first vision data from a first vision component that is connected to the robot. The drivability label(s) can be generated by processing the first vision data using geometric and/or heuristic methods. Second vision data can be generated using a second vision component of the robot, such as a camera that is connected to the robot. The drivability labels can be correlated to the second vision data and thereafter used to train one or more machine learning models. The trained models can be shared with a robot(s) in furtherance of enabling the robot(s) to determine drivability of areas captured in vision data, which is being collected in real-time using one or more vision components.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for monitoring a health status of a computing system. The method includes one or more processors deploying a respective monitoring prediction agent in each of a plurality of worker nodes of a computing system. The method further includes determining, for each of the plurality of worker nodes by the respective monitoring prediction agent, a single binary health status value by comparing a time-dependent function of performance metric data values of the respective worker node to upper and lower threshold values. The method further includes receiving the binary health status values together with respective identity information from each of the plurality of worker nodes. The method further includes generating a dataset indicative of a health status of the computing system by feeding the received respective identity information to hash functions of a Counting Bloom Filter.

Abstract: Implementations set forth herein relate to generating training data, such that each instance of training data includes a corresponding instance of vision data and drivability label(s) for the instance of vision data. A drivability label can be determined using first vision data from a first vision component that is connected to the robot. The drivability label(s) can be generated by processing the first vision data using geometric and/or heuristic methods. Second vision data can be generated using a second vision component of the robot, such as a camera that is connected to the robot. The drivability labels can be correlated to the second vision data and thereafter used to train one or more machine learning models. The trained models can be shared with a robot(s) in furtherance of enabling the robot(s) to determine drivability of areas captured in vision data, which is being collected in real-time using one or more vision components.

Abstract: A plug connector assembly includes first and second connector housings, a rotary lever, and a slide. The rotary lever has side faces each having a guide path into which in each case a guide pin on the second connector housing is inserted and is displaced along the guide path by rotation of the rotary lever whereby the connector housings move toward one another and electrical contact elements thereof connect. The slide is movable on the second plug connector housing. A driver element of the rotary lever cooperates in a form-fit manner with a driver element of the slide when the rotary lever rotates causing the slide to linearly move. A locking element of the slide is displaced relative to a locking element of the first connector housing when the slide linearly moves whereby a form-fit locking action between the locking elements may be established or cancelled.

Abstract: An absorbent article includes a first waist region, a second waist region, and a crotch region disposed between the first and second waist regions. The article further includes a chassis comprising a topsheet, a backsheet, and an absorbent core disposed between the topsheet and backsheet; and an ear. The ear includes a laminate having a first nonwoven and second nonwoven and an elastomeric material sandwiched between said first and second nonwovens. The laminate comprises a plurality of ultrasonic bonds. The ear also has a first inelastic region and an elastic region. The ear is joined to the chassis in the first inelastic region, and a fastening system is joined to the ear in the elastic region.

Abstract: The methods herein relate to assembling an elastic laminate with a first elastic material and a second elastic material bonded between first and second substrates. During assembly, an elastic laminate may be formed by positioning the first and second substrates in contact with stretched central regions of the first and second elastic materials. The elastic laminates may include two or more bonding regions that may be defined by the various layers or components of the elastic laminate that are laminated or stacked relative to each other. In some configurations, a first plurality of ultrasonic bonds are applied to the elastic laminate to define a first bond density in the first bonding region, and a second plurality of ultrasonic bonds are applied to the elastic laminate to define a second bond density in the second bonding region, wherein the second bond density is not equal to the first bond density.

Abstract: An absorbent article includes a first waist region, a second waist region and a crotch region disposed between the first and second waist regions; and a chassis comprising a topsheet, a backsheet and an absorbent core disposed between the topsheet and the backsheet. The absorbent article also includes an ear disposed in one of the waist regions. The ear includes a laminate having a first nonwoven and a second nonwoven and an elastomeric material sandwiched between said first and second nonwovens in an elasticized region. The laminate also includes a first bonding region comprising a first plurality of ultrasonic bonds having a first bond density, and a second bonding region comprising a second plurality of ultrasonic bonds having a second bond density. The first bond density is greater than the second bond density.

Abstract: A shaped charge closure member for encapsulating a slotted shaped charge is described. The closure member includes a body having a closed upper portion, and a lower portion opposite the upper portion. The closure member has first and second side walls, a front wall, and a back wall. Each wall tapers from the lower portion to the upper portion. A skirt having a substantially rectangular cross-section extends vertically away from each of the walls, at the lower portion of the body. The skirt engages with an open portion of a slotted shaped charge case, thereby forming an encapsulated slotted shaped charge. The encapsulated slotted shaped charge may be used in an exposed perforating gun system.

Abstract: A dual clutch transmission may include a first input shaft, a second input shaft, a first output shaft and a second output shaft; a first gear constrained to the first input shaft; a second gear and a third gear constrained to the second input shaft; a fourth gear provided to constrain the rotation to the second input shaft; a fifth gear which is engaged with the third gear; a sixth gear which is gear-engaged with the fourth gear; a seventh gear which is engaged with the first gear; an eighth gear which is gear-engaged with the second gear; and a ninth gear which is gear-engaged with the fourth gear.

Abstract: An absorbent article includes a first waist region, a second waist region and a crotch region disposed between the first and second waist regions; and a chassis comprising a topsheet, a backsheet and an absorbent core disposed between the topsheet and the backsheet. The absorbent article also includes an ear disposed in one of the waist regions. The ear includes a laminate having a first nonwoven and a second nonwoven and an elastomeric material sandwiched between said first and second nonwovens in an elasticized region. The laminate also includes a first bonding region comprising a first plurality of ultrasonic bonds having a first bond density, and a second bonding region comprising a second plurality of ultrasonic bonds having a second bond density. The first bond density is greater than the second bond density.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for monitoring a health status of a computing system. The method includes one or more processors deploying a respective monitoring prediction agent in each of a plurality of worker nodes of a computing system. The method further includes determining, for each of the plurality of worker nodes by the respective monitoring prediction agent, a single binary health status value by comparing a time-dependent function of performance metric data values of the respective worker node to upper and lower threshold values. The method further includes receiving the binary health status values together with respective identity information from each of the plurality of worker nodes. The method further includes generating a dataset indicative of a health status of the computing system by feeding the received respective identity information to hash functions of a Counting Bloom Filter.

Abstract: An action planning system (100) and method for autonomous vehicles are provided. The system (100) comprises one or more processors (108) and one or more non-transitory computer-readable storage medium (110) having stored thereon a computer program used by the one or more processors (108), wherein the computer program causes the one or more processors (108) to estimate future environment of an autonomous vehicle (114), generate a possible trajectory for the autonomous vehicle (114), predict motion and reactions of each dynamic obstacle in the future environment of the autonomous vehicle (114) based on current local traffic context, and generate a prediction iteratively over timesteps.

Abstract: The methods herein relate to assembling an elastic laminate with a first elastic material and a second elastic material bonded between first and second substrates. During assembly, an elastic laminate may be formed by positioning the first and second substrates in contact with stretched central regions of the first and second elastic materials. The elastic laminates may include two or more bonding regions that may be defined by the various layers or components of the elastic laminate that are laminated or stacked relative to each other. In some configurations, a first plurality of ultrasonic bonds are applied to the elastic laminate to define a first bond density in the first bonding region, and a second plurality of ultrasonic bonds are applied to the elastic laminate to define a second bond density in the second bonding region, wherein the second bond density is not equal to the first bond density.