Finlayson, Scott Henry

An organic light emitting display apparatus is disclosed, including a substrate having a plurality of subpixels; a pixel defining layer on the substrate and defining a light emitting opening; a partition wall on the pixel defining layer and defining a partition wall opening corresponding to the light emitting opening; and a light emitting element corresponding to the partition wall opening. The partition wall opening includes a center opening, a first partition wall opening extending in a first direction from the center opening, a second partition wall opening extending in a second direction overlapping the first direction, and a third partition wall opening extending in a third direction overlapping both the first and second directions. The plurality of subpixels is respectively disposed in the first, second, and third partition wall openings, enabling separation and arrangement of subpixels within a shared structure for efficient light emission without using a fine metal mask.

Systems, methods, and devices for bony fusion are disclosed. A threaded cannulated implant may be inserted into a target space, such as in the sacroiliac joint. The implant may have a distal section, a proximal section, and a central section between the distal section and the proximal section. The distal section may comprise cutting threads and flutes for self-drilling the implant into bone. The proximal section may be configured to couple to an insertion instrument for the implant. The central section may have a lattice structure through which bone graft may flow to promote bone ingrowth. A solid core region may be located inwards from the lattice structure. The central section may also have openings through the core region to connect the lattice structure to the cannula.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include receiving, from a user device, a ride request to transport a user to a destination from an origin location through an autonomous vehicle system service. Based on the origin location associated with the request, an autonomous vehicle system may be selected from a fleet of autonomous vehicles to execute the ride request. The fleet may be managed by the autonomous vehicle system service. The ride request may then be provided to the autonomous vehicle system, and information about the autonomous vehicle system may also be provided to the user device.

The present disclosure provides a physiological monitoring system that can include a hardware processor. The hardware processor can access first optical data corresponding to a water-dependent radiation wavelength attenuated through a medium and detected at a detector. The hardware processor can access second optical data corresponding to a water-independent radiation wavelength attenuated through the medium and detected at the detector. The hardware processor can determine a hydration index of the medium based on the first and second optical data.

Systems, methods, devices, and computer-readable media for lanyard detection applications. A lanyard attachment assembly may include a moveable element configured to be displaced in response to attachment of a lanyard device such that one or more sensors detect the attachment. In response to one or more operator inputs, an alert may be generated if determined that a lanyard device is not attached.

Techniques for allocating a load capacity to on-site smart sensors coupled to distributed energy resources (DERs) are described herein. For example, a primary smart sensor may receive, from a utility supplier (e.g., which may include a substation), a maximum load constraint associated with a network of smart utility sensors in an autonomous routing area. The maximum load constraint may be a maximum load and/or maximum capacity that the network of smart utility sensors may collectively operate with by a transformer carrying the load. In some examples, the primary smart sensor may receive utility data from the smart sensors and may determine a total transformer load associated with the transformer that is providing power to the network of smart utility sensors based at least in part on the utility data.

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