Abstract: A pop up cover for a crib is provided for providing a safe, comfortable and isolated environment for a child in a crib. The pop-up cover may be made of breathable fabric panels having an integrated frame, for example a flexible frame, which can be folded (collapsed) on itself, for example when folded in specific ways if appropriate force is applied and which keeps the fabric in a taught, open position when unfolded (preventing the panels form falling inwards onto each other). The pop up cover can be lightweight and compact, quick and easy to set up, dark inside and breathable.

Abstract: A wellhead bracing system for a subsea well includes a base plate assembly and a wellhead brace assembly. The base plate assembly comprises a top surface, a bottom surface, a base plate aperture, and a plurality of anchor holes. The wellhead brace assembly comprises a vertical plate assembly having a cylindrical shape, a horizontal plate assembly to which the vertical plate assembly is attached, and a vertical support assembly attached to an outer surface of the vertical plate assembly and attached to the top surface of the horizontal plate assembly. Horizontal plate holes of the horizontal plate assembly are configured to attach to studs on the top surface of the base plate to secure the wellhead brace assembly to the base plate assembly. The wellhead bracing system slides onto a wellhead of the subsea well and braces an exterior of the wellhead.

Abstract: A night vision system, a microchannel plate (MCP), and a planetary deposition system and methodology are provided for selectively depositing an electrode contact metal on one side of MCP channel openings. One or more MCPs can be releasably secured to a face of a platter that rotates about its central platter axis. The rotating platter can be tilted on a rotating ring fixture surrounding an evaporative source of contact metal. Therefore, the rotating platter further rotates so that it orbits around the evaporative source of contact metal. A mask with a variable size mask opening is arranged between the rotating platter and the evaporative source. While the mask orbits around the evaporative source with the rotating platter, the mask does not rotate along its own axis as does the rotating platter.

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 having a topsheet, a backsheet, and an absorbent core positioned between the topsheet and the backsheet. The article also includes a side panel having an ultrasonically bonded, gathered laminate. The laminate has an elastomeric layer and a substrate and is joined to the chassis at a chassis attachment bond and positioned in one of the first or second waist regions. The ultrasonically bonded, gathered laminate also includes an ear structural feature comprising a surface modification to the substrate and comprising at least one of the following: embossing, apertures, perforations, slits, melted material or coatings, compressed material, secondary bonds that are disposed apart from a chassis attachment bond, plastic deformation, and folds.

Abstract: A night vision system, a microchannel plate (MCP), and a planetary deposition system and methodology are provided for selectively depositing an electrode contact metal on one side of MCP channel openings. One or more MCPs can be releasably secured to a face of a platter that rotates about its central platter axis. The rotating platter can be tilted on a rotating ring fixture surrounding an evaporative source of contact metal. Therefore, the rotating platter further rotates so that it orbits around the evaporative source of contact metal. A mask with a variable size mask opening is arranged between the rotating platter and the evaporative source. While the mask orbits around the evaporative source with the rotating platter, the mask does not rotate along its own axis as does the rotating platter.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: A suction cup can include a body and a skirt connected to a periphery of the body. The body can include an engagement surface with an aperture. A friction material can be positioned on the engagement surface for engagement with a container. A channel can extend along the engagement surface between the aperture and a periphery of the body.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: A learner engagement engine provides a unique way to track and measure a learner's engagement across a plurality of different learning resources. In preferred embodiments, the learning engagement engine measures learner's engagement activities at the most detailed level (such as at a paragraph level, instead of a chapter or book level). This allows the learner engagement engine to easily aggregate learner activities, even when a course structure or context are changed during the course.

Abstract: This disclosure provides multimeric binding molecules that bind to SARS-CoV-2. This disclosure also provides compositions comprising the multimeric binding molecules, polynucleotides that encode the multimeric binding molecules, and host cells that can produce the binding molecules. Further this disclosure provides methods of using the multimeric binding molecules, including methods for treating and preventing coronavirus disease 2019 (COVID-19).

Abstract: A mobile vehicle mounted dry filtration system to support a grinder system used for removal of markings, creating rumble strips, or the like. Blowers create a vacuum for drawing debris and dust from the grinder system into a debris bin. Large debris is removed from the vacuum draw and remains in the bin for later disposal. Small particles and dust are drawn into parallel positioned filter cyclones that have a cyclonic separation followed by flexible and inexpensive bag filters. The flexible filters are cleaned using vibrating diaphragms mounted on the top of the filter cyclones subject to a reverse air flow by the blowers using slide valves. A polishing tank containing water receives the exhaust from the filter cyclones for removal of airborne particles and sound suppression.

Abstract: A system including a computer server implementing a learning resource configured to monitor a user interaction with the learning resource, and encode, based on the user interactions, a user event. The system includes a computer server implementing an event processor. The event processor is configured to receive, from the computer server, the user event, parse the user event to determine the identifications of the user generating the user event, the assessment item, and the learning resource, and the indication of whether the user event is associated with a correct answer or an incorrect answer, and store, in an analytics storage database, a data record including the identification of the user generating the user event, the assessment item, the learning resource, and the indication of whether the user event is associated with a correct answer or an incorrect answer.

Abstract: A computer controlled laser based profiling system for accurate equipment positioning. In one embodiment the profiler is used in combination with a vehicle automated guidance system for guiding a vehicle and equipment secured to a vehicle for removing of road markings. The computer controlled profiler detects the position of one or more grinding, grooving, rumbling heads in the X, Y and Z position. A controller and one or more actuators are manipulated in response to ground markings visible in the field of the laser.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: A grinder truck with a computer controlled profiler in combination with a vehicle automated guidance system for guiding a vehicle and equipment secured to a vehicle for removing of road markings. The computer controlled profiler detects the position of one or more grinding, grooving, rumbling heads in the X, Y and Z position. A controller and one or more actuators are manipulated in response to ground markings visible in a camera field. A remote controller allows an operator to control grinder heads individually, and allows for precise adjustment based upon an operator's visual inspection.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: A system for enterprise performance management includes an enterprise performance management server, including a processor, a non-transitory memory, an input/output, an account aggregation manager, an account planning manager, an activity id correlation table, and activity id connectivity table with an account calculation procedure, a planning account overview table; an enterprise performance management device; an inventory procurement system; and a plurality of enterprise resource planning/accounting systems with general ledgers, such that the system creates an aggregated chart of activity accounts, each activity account comprising an activity id and associated aggregated planned cost, aggregated actual cost, and aggregated forecasted quantity, which aggregates general ledger accounts. The aggregated forecasted quantity can be used for centralized purchasing via the inventory procurement system.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.