Abstract: Methods and devices are provided for simultaneously amplifying a plurality of sample wells for a predetermined amount of amplification, detecting whether amplification has occurred in a first set of the wells, amplifying for an additional amount of amplification and detecting whether amplification has occurred in a second set of the wells. Methods are also provided for analyzing a target nucleic acid sequence using melt curves that were generated in a plurality of amplification cycles.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for data-driven robotic control. One of the methods includes maintaining robot experience data; obtaining annotation data; training, on the annotation data, a reward model; generating task-specific training data for the particular task, comprising, for each experience in a second subset of the experiences in the robot experience data: processing the observation in the experience using the trained reward model to generate a reward prediction, and associating the reward prediction with the experience; and training a policy neural network on the task-specific training data for the particular task, wherein the policy neural network is configured to receive a network input comprising an observation and to generate a policy output that defines a control policy for a robot performing the particular task.

Abstract: There is provided a current control circuit (20) for connection between a first electrical network (42) and a converter, the current control circuit (20) comprising: first and second input terminals (24,26) for connection to the first electrical network (42); first and second output terminals (28,30) for respective connection to converter terminals (46,48) of the converter; first and second switching limbs, the first switching limb interconnecting the first input and output terminals (24,28), the second switching limb interconnecting the second input and output terminals (26,30), each switching limb including a respective switching element (32,34,36,38); a director limb (76) extending between the first and second output terminals (28,30), the director limb (76) including at least one current director element (84) and at least one first resistive element (86), the director limb (76) including an intermediate terminal (82); a second resistive element (88), a first end of the second resistive element (88) ope

Abstract: Centrifugal clutch mechanisms, and transmissions and lawnmowers having centrifugal clutch mechanisms are provided. A centrifugal clutch mechanism includes a clutch bell comprising an annular wall and a circular ring extending away from the annular wall to define an internal cavity, wherein the circular ring comprises an inward facing surface defining a drive surface. The centrifugal clutch mechanism also includes a plurality of centrifugal weights disposed in the internal cavity and an inward biasing element engaged with the centrifugal weights. The inward biasing element biases the centrifugal weights towards a disengaged position in which the centrifugal weights do not interface with drive surface, and upon application of a sufficient centrifugal force, the centrifugal weights are configured to transition to an engaged position in which the centrifugal weights interface with the drive surface.

Abstract: The present disclosure provides improved nucleic acid sequencing-by-synthesis (SBS) methods, related kits and reagents, and systems for performing such methods using such kits and reagents.

Abstract: Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.

Abstract: The present disclosure provides improved nucleic acid sequencing-by-synthesis (SBS) methods, related kits and reagents, and systems for performing such methods using such kits and reagents.

Abstract: Various systems and devices are provided for an X-ray system. In one example, a mobile X-ray system, comprises a moveable arm comprising an X-ray source arranged at a first end and an X-ray detector arranged at a second end. The mobile X-ray system further comprises a cooling arrangement arranged within a housing shared with the X-ray source, wherein passages of the cooling arrangement do not extend outside the housing.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for data-driven robotic control. One of the methods includes maintaining robot experience data; obtaining annotation data; training, on the annotation data, a reward model; generating task-specific training data for the particular task, comprising, for each experience in a second subset of the experiences in the robot experience data: processing the observation in the experience using the trained reward model to generate a reward prediction, and associating the reward prediction with the experience; and training a policy neural network on the task-specific training data for the particular task, wherein the policy neural network is configured to receive a network input comprising an observation and to generate a policy output that defines a control policy for a robot performing the particular task.

Abstract: The present disclosure provides improved nucleic acid sequencing-by-synthesis (SBS) methods, related kits and reagents, and systems for performing such methods using such kits and reagents.

Abstract: The present disclosure provides improved nucleic acid sequencing-by-synthesis (SBS) methods, related kits and reagents, and systems for performing such methods using such kits and reagents.

Abstract: Various systems and devices are provided for an X-ray system. In one example, a mobile X-ray system, comprises a moveable arm comprising an X-ray source arranged at a first end and an X-ray detector arranged at a second end. The mobile X-ray system further comprises a cooling arrangement arranged within a housing shared with the X-ray source, wherein passages of the cooling arrangement do not extend outside the housing.

Abstract: Various systems are provided for an X-ray system. In one example, a mobile X-ray system, comprises a moveable arm comprising an X-ray source arranged at a first end and an X-ray detector arranged at a second end. The mobile X-ray system further comprises an integrated, fluid-circulating cooling arrangement arranged within a housing shared with the X-ray source, wherein passages of the cooling arrangement do not extend outside the housing.

Abstract: Various methods and systems are provided for a medical imaging system C-arm. In one embodiment, an imaging system comprises a C-arm including an inner circumferential wall forming a first pair of grooved flanges and the outer circumferential wall forming a second pair of grooved flanges, where each of the first pair of grooved flanges and second pair of grooved flanges comprises a composite material. A C-shaped portion of the C-arm may be configured to rotate isocentrically around a rotational axis.

Abstract: System and process for the treatment of water using a ferrate-based reduction-oxidation (redox) reactor, a clarifier, and a two-stage filtration system. Three treatment substrates can be used to treat water in the water treatment system and process, namely, a ferric compound(s), an acidic oxidant, and a flocculant-adsorbent.

Abstract: Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.

Abstract: There is provided a current control circuit (20) for connection between a first electrical network (42) and a converter, the current control circuit (20) comprising: first and second input terminals (24,26) for connection to the first electrical network (42); first and second output terminals (28,30) for respective connection to converter terminals (46,48) of the converter; first and second switching limbs, the first switching limb interconnecting the first input and output terminals (24,28), the second switching limb interconnecting the second input and output terminals (26,30), each switching limb including a respective switching element (32,34,36,38); a director limb (76) extending between the first and second output terminals (28,30), the director limb (76) including at least one current director element (84) and at least one first resistive element (86), the director limb (76) including an intermediate terminal (82); a second resistive element (88), a first end of the second resistive element (88) ope

Abstract: Various methods and systems are provided for C-arm cable management. In one embodiment, an assembly for a C-arm imaging system comprises a cable guide configured to rotate around a rotational axis arranged at an angle to a surface of a C-shaped portion of the C-arm imaging system to which the assembly mounts, with the cable guide including a rigid elongate portion extending outward from the rotational axis and configured to enclose a portion of a cable of the C-arm imaging system. In this way, the cable guide may maintain the cable of the C-arm imaging system outside of a sterile imaging area of the C-arm imaging system.

Abstract: Attachment of an interchangeable grip sleeve particularly suited for golf requires three basic securing movements. In the first movement, the grip is situated and secured into place on the shaft by fastening toe components at the lower, distal portion of the grip onto the shaft using an insertion tool. In the second movement, heel components of the grip are positioned onto the shaft, by either rotational torque or downward pressure, optionally using a tightening tool, which results in securing the upper, proximal portion of the grip onto the shaft. In the third movement, once both heel and toe embodiments of the grip have been fastened to the shaft, the internal core diameter of the grip is decreased in order to secure the grip to the shaft, such as by rotating or twisting the entire grip body, wherein an internal mechanism maintains the grip body in the torqued or twisted position, thereby preventing the grip body from rotating back.