Abstract: Embodiments of the disclosure relate to digital lithography systems and components thereof. Digital lithography systems may include a rotation assembly for an exposure unit, including a kinematic socket configured to support the exposure unit, the kinematic socket having a socket seat and a sphere received in the socket seat, wherein the socket seat is configured to support a load of the exposure unit during translational movement and the sphere is a pivot point for tip and tilt movement; and a motor configured to rotate the one or more exposure unit via the kinematic socket. The rotation assembly may provide a point of contact for the exposure unit together with two additional points of contact that stabilize movement of the exposure unit. Also disclosed are methods of preparation and use of such systems and components.

Abstract: Techniques Nuc-seq, Div-Seq, and Dronc-Seq are allow for unbiased analysis of any complex tissue. Nuc-Seq, a scalable single nucleus RNA-Seq method, can sensitively identify closely related cell types, including within the adult hippocampus. Div-seq combines Nuc-Seq with EdU-mediated labeling of proliferating cells, allowing tracking of transcriptional dynamics of newborn neurons in an adult neurogenic region in the hippocampus. Dronc-Seq uses a microfluidic device to co-encapsulate individual nuclei in reverse emulsion aqueous droplets in an oil medium together with one uniquely barcoded mRNA-capture bead.

Abstract: The described techniques provide for an automated process of hardware design using main applications (e.g., use cases) and a modeling heuristic of a compiler. Hardware may be optimized and designed based on the knowledge of the compiler for the hardware and firmware information. For instance, a user may define constraints (e.g., area constraints, power constraints, performance constraints, accuracy degradation constraints, etc.) and the changes of compilation heuristics and hardware parameters may be optimized to efficiently achieve the user defined constraints. Accordingly, hardware configuration parameters may be optimized based on the neural network's compilation process (e.g., actual compiler constraints) and optimization of power, performance, and area (PPA) constraints (e.g., user defined constraints). Specific neural processor (SNP) hardware may thus be designed based on the optimized hardware configuration parameters (e.g.

Abstract: The present invention relates to a layer comprising at least a matrix material (110) and one or more light emitting moieties (120).

Abstract: A method of statically allocating memory for a computer program includes splitting a computational graph associated with a plurality of static memory allocation constraints into a plurality of subgraphs; determining a memory allocation for each combination of subgraphs of the plurality of subgraphs using an SAT solver and a plurality of Boolean conditions that formalize the plurality of static memory allocation constraints; subdividing a subgraph of the plurality of subgraphs into a plurality of tiles, when the memory allocation for that subgraph cannot satisfy a hardware memory size constraint of the plurality of static memory allocation constraints; performing a performance analysis on all possible subgraphs and plurality of tiles; selecting a combination of subgraphs whose plurality of tiles has a best overall performance; and determining a memory allocation for the plurality of tiles for the selected combination of subgraphs using the SAT solver.

Abstract: Systems and techniques of the present disclosure enable a compiler to optimize such tradeoffs, and further enable optimization for a specific user cost function (e.g., optimization of a complex multi-dimensional and non-linear problem). Moreover, the techniques described herein can optimize in polynomial time. Accordingly, inference tasks may be optimized (e.g., based on specific applications) in terms of power consumption, idle time, the efficiency of computation, system resources, etc. For instance, by leveraging the systems and techniques described in the present disclosure, hardware designers can balance the tradeoff between runtime, power consumption, and resource usage, which are critical factors in the efficient processing of specialized tasks.

Abstract: A treatment assembly can have an inner layer having an inner surface and an outer surface and defining a plurality of openings extending therethrough. The treatment assembly can further comprise a plurality of plates, each plate being at least partially received within a respective opening of the plurality of openings of the inner layer. The treatment assembly can further comprise treatment circuitry comprising a cable having a plurality of electrical leads and a plurality of lead ends, each electrical lead being electrically connected to a respective lead end of the plurality of lead ends. A cover layer can be attached to the outer surface of the inner layer and overlie the plurality of lead ends of the cable. The plurality of lead ends can be in contact with respective plates of the plurality of plates to define a plurality of electrodes.

Abstract: Transcriptomes of individual neurons provide rich information about cell types and dynamic states. However, it is difficult to capture rare dynamic processes, such as adult neurogenesis, because isolation from dense adult tissue is challenging, and markers for each phase are limited. Here, Applicants developed Nuc-seq, Div-Seq, and Dronc-Seq. Div-seq combines Nuc-Seq, a scalable single nucleus RNA-Seq method, with EdU-mediated labeling of proliferating cells. Nuc-Seq can sensitively identify closely related cell types within the adult hippocampus. Div-Seq can track transcriptional dynamics of newborn neurons in an adult neurogenic region in the hippocampus. Dronc-Seq uses a microfluidic device to co-encapsulate individual nuclei in reverse emulsion aqueous droplets in an oil medium together with one uniquely barcoded mRNA-capture bead. Finally, Applicants found rare adult newborn GABAergic neurons in the spinal cord, a non-canonical neurogenic region.

Abstract: Synthesis of phosphonium based polymers is disclosed. Chemical Mechanical Planarization (CMP) slurries comprise abrasives; activator; oxidizing agent; additive comprising phosphonium based polymers; and water. The use of the synthesized phosphonium based polymers in the CMP slurries reduces dishing and erosion in highly selective tungsten slurries.

Abstract: A cage assembly can have at least one enclosure. Each enclosure can have a floor defining a floor area having a major dimension and a cover having a bottom surface. A spacing between the bottom surface of the cover and the floor can define a cage height. At least one sidewall can extend between the floor and the cover. A ratio of the cage height to the major dimension of the floor area of each enclosure of the at least one enclosure can be at least 0.70.

Abstract: An armchair comprising a seat chassis supported on a support chassis by a pair of support columns, a chair back structure pivotally attached to a rear end of the seat chassis and to the support chassis, and a leg support structure pivotally attached to a front end of the seat chassis and connected to a beam, wherein the beam is attached the chair back structure. A first actuating device is mounted to the chair back, where a protracting end of the first actuating device is connected to the seat chassis. The armchair further comprises a second actuating device mounted to the support chassis, a footrest connected to a protracting end of the second actuating device, a third actuating device attached to the seat chassis, and a seating structure connected to a protracting end of the third actuating device and mounted above the seat chassis, wherein the seating structure includes an operative position projecting upwards and forwards by the third actuating device at a tilting angle from the seat chassis.

Abstract: Embodiments of the present disclosure relate to projection stabilization systems and maskless lithography systems having projection stabilization systems. The projection stabilization system compensates for propagating vibrations that move image projection systems (IRS's). The IRS's are in a processing positon prior to operation of the maskless lithography process. One or more stiffeners are coupled to the IPS. The one or more stiffeners apply pressure to flexures coupled to each stiffener. The flexures are coupled to the IPS to provide stabilization to the IPS during the operations of the maskless lithography process. For example, the one or more of stiffeners protect the IPS from vibrations that propagate through the system during operation.

Abstract: A swivel assembly can have a longitudinal axis. The swivel assembly can have an upper portion and a lower portion that is rotationally coupled to the upper portion. The lower portion can have a connector configured to securely engage a cable. The lower portion can be configured to remain in electrical communication with the upper portion as the lower portion rotates with respect to the upper portion. A motor can be disposed between the upper portion and the lower portion and configured to selectively rotate the lower portion. A sensor can be configured to detect torsion in the cable. A controller can be in communication with the sensor and the motor. Upon receiving a signal from the sensor indicating a threshold torsion in the cable, the controller can be configured to cause the motor to rotate in a direction corresponding to a direction of the torsion in the cable.

Abstract: The present invention relates to a method for synthesizing a semiconducting nanosized material.

Abstract: Systems and methods for regulating permission access in tablature are disclosed. A system may include at least one processor configured to maintain a table having a plurality of rows and columns, receive a first customized access permission that regulates access to information in a particular column, and receive a second customized access permission that regulates access to information in a particular row. The processor may regulate an ability to access information in a particular cell of the table when the particular cell is in at least one of the particular column or the particular row, and output a signal to display the table with the particular cell regulated.

Abstract: An armchair comprising a seat chassis supported on a support chassis by a pair of support columns, a chair back structure pivotally attached to a rear end of the seat chassis and to the support chassis, and a leg support structure pivotally attached to a front end of the seat chassis and connected to a beam, wherein the beam is attached the chair back structure. A first actuating device is mounted to the chair back, where a protracting end of the first actuating device is connected to the seat chassis. The armchair further comprises a second actuating device mounted to the support chassis, a footrest connected to a protracting end of the second actuating device, a third actuating device attached to the seat chassis, and a seating structure connected to a protracting end of the third actuating device and mounted above the seat chassis, wherein the seating structure includes an operative position projecting upwards and forwards by the third actuating device at a tilting angle from the seat chassis.

Abstract: There is provided a computer implemented method of training a machine learning model, comprising: computing at least one in-colony feature indicative of an internal state of a sample honeybee colony positioned for pollination of at least one crop in a geographical area, from output of at least one internal sensor monitoring the honeybee colony, computing at least one out-colony feature indicative of an external environment of the sample honeybee colony, from output of at least one external sensor monitoring the environment of the honeybee colony, creating a multi-record training dataset, wherein a record comprises: a combination of at least one in-colony feature and at least one out-colony feature, and a ground truth label indicating pollination effectiveness of the sample honeybee colony, and training a machine learning model on the multi-record training dataset.

Abstract: A cage assembly can have at least one enclosure. Each enclosure can have a floor defining a floor area having a major dimension and a cover having a bottom surface. A spacing between the bottom surface of the cover and the floor can define a cage height. At least one sidewall can extend between the floor and the cover. A ratio of the cage height to the major dimension of the floor area of each enclosure of the at least one enclosure can be at least 0.70.

Abstract: A treatment assembly can have an inner layer having an inner surface and an outer surface and defining a plurality of openings extending therethrough. The treatment assembly can further comprise a plurality of plates, each plate being at least partially received within a respective opening of the plurality of openings of the inner layer. The treatment assembly can further comprise treatment circuitry comprising a cable having a plurality of electrical leads and a plurality of lead ends, each electrical lead being electrically connected to a respective lead end of the plurality of lead ends. A cover layer can be attached to the outer surface of the inner layer and overlie the plurality of lead ends of the cable. The plurality of lead ends can be in contact with respective plates of the plurality of plates to define a plurality of electrodes.