Abstract: A method for revision control of an electronic file including receiving a request to merge a new section of the electronic file with a current section of the electronic file. The method further includes selecting the electronic file based on the request. The electronic file includes multiple sections; each including a revision log including at least one revision log entry data object. The method further includes generating a versioned section. The method further includes generating a revision log entry data object based on the request and the versioned section of the electronic file. The method further includes adding the revision log entry data object to the revision log of the versioned section. The method includes generating an electronic revision log document by compiling at least a portion of each revision log entry data object by date. The method further includes adding the electronic revision log document to the electronic file.

Abstract: An attachable movement-notification device is provided. The device is comprised of a body with at least one fastener that allows the device to be discretely attached to any portion of an object, item, etc. The device is comprised of at least one sensor that is preferably a motion sensor that detects motion of the device (and motion of the object the device is attached to). When motion is detected, a transmitter of the body communicates with a mobile application to alert a user that the object the device is attached to has been moved.

Abstract: Tampons that provide a balance of adequate absorption with sufficient expansion properties during absorption and a relatively small initial diameter for comfortable insertion are provided.

Abstract: Tampons that provide a balance of adequate absorption with sufficient expansion properties during absorption and a relatively small initial diameter for comfortable insertion are provided.

Abstract: An apparatus for performing continuous actions includes a memory storing instructions, and a processor configured to execute the instructions to obtain a first action of an agent, based on a current state of the agent, using a cross-entropy guided policy (CGP) neural network, and control to perform the obtained first action. The CGP neural network is trained using a cross-entropy method (CEM) policy neural network for obtaining a second action of the agent based on an input state of the agent, and the CEM policy neural network is trained using a CEM and trained separately from the training of the CGP neural network.

Abstract: A firearm with safety mechanism in one embodiment includes a barrel supported by a housing, at least one cartridge-receiving chamber in communication with a bore of the barrel, and a rotatable hammer. The safety mechanism includes a biased safety component, which may be a blocking pin in one embodiment, mounted to and rotatable with the hammer. When the firearm is exposed to an abnormal impact force caused by bumping or dropping the firearm, the safety component changes position and interacts with a blocking feature on the hammer pivot pin to stop or delay the motion of the hammer in a manner which prevents discharging the firearm. The blocking feature may be a notch in one embodiment. Rotating the hammer between rearward cocked and forward firing positions alternatingly aligns or misaligns the blocking pin with the notch, respectively.

Abstract: An apparatus for estimating a trajectory of a tool may include: a memory storing instructions; and a processor configured to execute the instructions to: receive a task to be performed by the tool on a target object; receive a grayscale image and a depth image of the target object; and estimate a tool trajectory for performing the task, from the grayscale image and the depth image, via a pixels-to-plans neural network that is trained based on a labeled tool trajectory that is generated from a point cloud model of the target object.

Abstract: An apparatus for representing a three-dimensional (3D) object, the apparatus includes a memory storing instructions, and a processor configured to execute the instructions to transmit a two-dimensional (2D) image to an external device, based on the 2D image being transmitted, receive, from the external device, mapping function parameters that are obtained using a first neural network, set a mapping function of a second neural network, based on the received mapping function parameters, and based on 3D samples, obtain the 3D object corresponding to the 2D image, using the second neural network of which the mapping function is set.

Abstract: A tampon product including a tampon within an applicator assembly is disclosed. The applicator assembly includes a barrel portion joined to a gripping portion, imparted with features that improve utility and convenience for the user. In one example the gripping portion has a rearward edge defining differing first and second lengths. In another example the gripping portion has a lateral outer cross section profile that is substantially oval-shaped, ovoid-shaped, elliptical or stadium-shaped and has major and minor axes, each perpendicular to a longitudinal axis, along first and second lateral perpendicular directions, wherein following absorption of fluid the tampon will expand laterally to a first lateral dimension to a greatest extent along a first lateral direction, and to a lesser second lateral dimension along a second lateral direction 90 degrees from the first lateral direction, wherein the first lateral direction is substantially parallel to one of the major and minor axes.

Abstract: An apparatus for representing a three-dimensional (3D) object, the apparatus includes a memory storing instructions, and a processor configured to execute the instructions to transmit a two-dimensional (2D) image to an external device, based on the 2D image being transmitted, receive, from the external device, mapping function parameters that are obtained using a first neural network, set a mapping function of a second neural network, based on the received mapping function parameters, and based on 3D samples, obtain the 3D object corresponding to the 2D image, using the second neural network of which the mapping function is set.

Abstract: A residual oil drainage system for use in replacement of the oil filter of an internal combustion engine is disclosed. The drainage system may include first and second drainage conduits disposed in the oil pan of the engine. The drainage conduits may be fluidly interconnected and coupled to portions of the oil inlet and outlet flow conduits which normally convey oil to and from the oil filter. A flow control device is movable to either open or close the drainage flowpath in the system. In use with an open flowpath and engine off, residual oil captured by the first and second drainage conduits flows through the drainage system and is returned to the oil reservoir in the oil pan via gravity. In one configuration, the drainage conduits are formed internally and directly within the body of the structure of the oil pan.

Abstract: An apparatus for representing a three-dimensional (3D) object, the apparatus includes a memory storing instructions, and a processor configured to execute the instructions to transmit a two-dimensional (2D) image to an external device, based on the 2D image being transmitted, receive, from the external device, mapping function parameters that are obtained using a first neural network, set a mapping function of a second neural network, based on the received mapping function parameters, and based on 3D samples, obtain the 3D object corresponding to the 2D image, using the second neural network of which the mapping function is set.

Abstract: A firearm with safety mechanism in one embodiment includes a barrel supported by a housing, at least one cartridge-receiving chamber in communication with a bore of the barrel, and a rotatable hammer. The safety mechanism includes a biased safety component, which may be a blocking pin in one embodiment, mounted to and rotatable with the hammer. When the firearm is exposed to an abnormal impact force caused by bumping or dropping the firearm, the safety component changes position and interacts with a blocking feature on the hammer pivot pin to stop or delay the motion of the hammer in a manner which prevents discharging the firearm. The blocking feature may be a notch in one embodiment. Rotating the hammer between rearward cocked and forward firing positions alternatingly aligns or misaligns the blocking pin with the notch, respectively.

Abstract: An apparatus for representing a three-dimensional (3D) object, the apparatus includes a memory storing instructions, and a processor configured to execute the instructions to transmit a two-dimensional (2D) image to an external device, based on the 2D image being transmitted, receive, from the external device, mapping function parameters that are obtained using a first neural network, set a mapping function of a second neural network, based on the received mapping function parameters, and based on 3D samples, obtain the 3D object corresponding to the 2D image, using the second neural network of which the mapping function is set.

Abstract: An apparatus for estimating a trajectory of a tool may include: a memory storing instructions; and a processor configured to execute the instructions to: receive a task to be performed by the tool on a target object; receive a grayscale image and a depth image of the target object; and estimate a tool trajectory for performing the task, from the grayscale image and the depth image, via a pixels-to-plans neural network that is trained based on a labeled tool trajectory that is generated from a point cloud model of the target object.

Abstract: An apparatus for performing continuous actions includes a memory storing instructions, and a processor configured to execute the instructions to obtain a first action of an agent, based on a current state of the agent, using a cross-entropy guided policy (CGP) neural network, and control to perform the obtained first action. The CGP neural network is trained using a cross-entropy method (CEM) policy neural network for obtaining a second action of the agent based on an input state of the agent, and the CEM policy neural network is trained using a CEM and trained separately from the training of the CGP neural network.

Abstract: A residual oil drainage system for use in replacement of the oil filter of an internal combustion engine is disclosed. The drainage system may include first and second drainage conduits disposed in the oil pan of the engine. The drainage conduits may be fluidly interconnected and coupled to portions of the oil inlet and outlet flow conduits which normally convey oil to and from the oil filter. A flow control device is movable to either open or close the drainage flowpath in the system. In use with an open flowpath and engine off, residual oil captured by the first and second drainage conduits flows through the drainage system and is returned to the oil reservoir in the oil pan via gravity. In one configuration, the drainage conduits are formed internally and directly within the body of the structure of the oil pan.

Abstract: Packages for containing consumer goods are disclosed. The consumer goods may be disposable, durable or semi-durable. Absorbent article is one class of disposable articles that may be contained by packages. The packages comprise an opening that is covered by an overlabel. The overlabel is at least partially peeled off of the package so that articles contained within the package can be removed through the now exposed opening. In some embodiments, the package can be reclosed by covering the opening with the overlabel. A consumer may wish to dispose of a used article by placing the article back into the package via the opening and re-adhering the overlabel.

Abstract: A wing protection system for increasing avoidance of grounded aircraft utilizes a plurality of wing clamps attached to an aircraft wing. A wing clamp from the plurality of wing clamps houses an electronics assembly; the electronics assembly including a plurality of sensors, a processor, a transceiver, and a peripheral alert system. The plurality of sensors detects objects approaching the grounded aircraft, while the peripheral alert system provides a visual and audible alert to the presence of the grounded aircraft; the processor receiving signals from the plurality of sensors and dictating appropriate action of the peripheral alert system. The transceiver allows data to be shared with a compatible user device, wherein a software application run on the compatible user device provides a digital representation of the plurality of wing clamps positioned about the aircraft.

Abstract: A wing protection system for increasing avoidance of grounded aircraft utilizes a plurality of wing clamps attached to an aircraft wing. A wing clamp from the plurality of wing clamps houses an electronics assembly; the electronics assembly including a plurality of sensors, a processor, a transceiver, and a peripheral alert system. The plurality of sensors detects objects approaching the grounded aircraft, while the peripheral alert system provides a visual and audible alert to the presence of the grounded aircraft; the processor receiving signals from the plurality of sensors and dictating appropriate action of the peripheral alert system. The transceiver allows data to be shared with a compatible user device, wherein a software application run on the compatible user device provides a digital representation of the plurality of wing clamps positioned about the aircraft.