Abstract: A method and apparatus for substrate processing and a cluster tool including a transfer chamber assembly and a plurality of processing assemblies. Processing chamber volumes are sealed from the transfer chamber volume using a support chuck on which a substrate is disposed. A seal ring assembly is coupled to the support chuck. The seal ring assembly includes an inner assembly, an assembly bellows circumscribing the inner assembly, and a bellows disposed between the inner and outer platform. An inner ring is disposed between inner assembly of the seal ring assembly and the bottom surface of the support chuck. An outer ring disposed between the seal ring assembly and the lower sealing surface of the process chamber wall. The support chuck is raised to form an isolation seal between the processing chamber volume and the transfer chamber volume using the bellows, the inner ring, and the outer ring.

Abstract: A substrate handling system includes a fixed deposition ring having a plurality of circumferentially spaced notches along an outer edge of the fixed deposition ring, the fixed deposition ring being electrically non-conductive; a moving deposition ring having a plurality of circumferentially spaced recesses formed on a lower surface of the moving deposition ring, the recesses configured to radially align with the notches of the fixed deposition ring, the moving deposition ring having an inner edge and an outer edge, the moving deposition ring being electrically non-conductive; and a plurality of electrically conductive grounding plates each having a base, an intermediate member, and a contact extending from the intermediate member and being spaced from the base, the intermediate members configured to be received in the recesses and extend between the inner edge and the outer edge of the moving deposition ring.

Abstract: Embodiments of a lift apparatus for use in a substrate processing chamber are provided herein. In some embodiments, a lift apparatus includes: a plurality of first lift pin assemblies configured to raise or lower a substrate having a given diameter when disposed thereon, wherein each of the first lift pin assemblies includes a first lift pin disposed on a first bellows assembly; a plurality of second lift pin assemblies arranged in a circle having a diameter greater than the given diameter and configured to raise or lower an annular chamber component, wherein each of the second lift pin assemblies includes a second lift pin disposed on a second bellows assembly; an actuator; and a lift assembly coupled to the actuator and configured to raise or lower each of the first lift pin assemblies and the second lift pin assemblies by movement of the actuator.

Abstract: A method and system or device such as a hearing aid are provided for processing audio signals. In accordance with the method, an audio signal is received and divided into a plurality of frequency sub-bands. For each of the frequency sub-band signals, the signal is further divided into overlapping temporal frames. Each of the temporal frames are windowed. Frequency warping is performed on each of the windowed frames. Overlap-and-add is performed on the frequency warped frames. The frequency warped sub-bands are combined into a full band to provide a frequency warped signal.

Abstract: A server computing device executing an electronic health records application (EHR) receives an indication from a client computing device that approval from a pharmacy benefits manager (PBM) with respect to prescribing a medication and/or treatment to a patient is requested. The EHR causes the server computing device to transmit an approval request to a computing system of the PBM, and monitors incoming messages for an approval message from the PBM. When the approval message is received, the EHR constructs a prescription for the medication and/or treatment for the patient and causes the prescription to be transmitted to a pharmacy.

Abstract: A method and system or device such as a hearing aid are provided for processing audio signals. In accordance with the method, an audio signal is received and divided into a plurality of frequency sub-bands. For each of the frequency sub-band signals, the signal is further divided into overlapping temporal frames. Each of the temporal frames are windowed. Frequency warping is performed on each of the windowed frames. Overlap-and-add is performed on the frequency warped frames. The frequency warped sub-bands are combined into a full band to provide a frequency warped signal.

Abstract: Embodiments of a lift apparatus for use in a substrate processing chamber are provided herein. In some embodiments, a lift apparatus includes: a plurality of first lift pin assemblies configured to raise or lower a substrate having a given diameter when disposed thereon, wherein each of the first lift pin assemblies includes a first lift pin disposed on a first bellows assembly; a plurality of second lift pin assemblies arranged in a circle having a diameter greater than the given diameter and configured to raise or lower an annular chamber component, wherein each of the second lift pin assemblies includes a second lift pin disposed on a second bellows assembly; an actuator; and a lift assembly coupled to the actuator and configured to raise or lower each of the first lift pin assemblies and the second lift pin assemblies by movement of the actuator.

Abstract: A learning device acquires a plurality of images from a storage. The learning device trains a feature extraction part using a plurality of images. The learning device causes the trained feature extraction part to output a feature map of each of one or more images among the plurality of images. The learning device inputs the output feature map to a coordinate estimation part for each of one or more images, and causes the coordinate estimation part to output at least one set of coordinates of a region of a portion where the object is present in the image. The learning device extracts an image of a portion indicated by the output coordinates from the image, for each of one or more images. The learning device further trains the trained feature extraction part using the extracted image.

Abstract: A server computing device executing an electronic health records (EHR) receives an indication from a client computing device that approval from a pharmacy benefits manager (PBM) with respect to prescribing a medication and/or treatment to a patient is requested. The EHR causes the server computing device to transmit an approval request to a computing system of the PBM, and monitors incoming messages for an approval message from the PBM. When the approval message is received, the ERR constructs a prescription for the medication and/or treatment for the patient and causes the prescription to be transmitted to a pharmacy.

Abstract: Embodiments of process kits for use in a process chamber are provided herein. In some embodiments, a process kit for use in a process chamber includes: a deposition ring including a first portion having an first inner ledge and a second portion having a second inner ledge, wherein in a first position, the first portion is spaced from the second portion, and wherein in a second position, the second portion is configured to engage the first portion so that the first inner ledge is aligned with the second inner ledge along a common plane to form a clamping surface.

Abstract: Embodiments of process kits for use in a process chamber are provided herein. In some embodiments, a cover ring for use in a process chamber includes: an annular body that includes an upper surface and a lower surface, an inner lip extending radially inward and downward from the annular body, and a plurality of protrusions extending downward from the inner lip and disposed at regular intervals along the inner lip, wherein lowermost surfaces of the plurality of protrusions together define a planar substrate contact surface.

Abstract: For each of a plurality of images, a learning device acquires first training data including an image, a class of each of one or more objects shown in the image, and the number of objects, from a storage. The learning device trains a feature extraction part, a class estimation part, and an object number estimation part using the first training data. For each of images of which the number is smaller than the plurality of images, the learning device acquires second training data including an image and coordinates of each of one or more objects in the image, from the storage. The learning device causes the trained feature extraction part to output a feature map of the image included in the second training data, and trains a coordinate estimation part using the feature map and the coordinates included in the second training data.

Abstract: A learning device acquires a plurality of images from a storage. The learning device trains a feature extraction part using a plurality of images. The learning device causes the trained feature extraction part to output a feature map of each of one or more images among the plurality of images. The learning device inputs the output feature map to a coordinate estimation part for each of one or more images, and causes the coordinate estimation part to output at least one set of coordinates of a region of a portion where the object is present in the image. The learning device extracts an image of a portion indicated by the output coordinates from the image, for each of one or more images. The learning device further trains the trained feature extraction part using the extracted image.

Abstract: For each of a plurality of images, a learning device acquires first training data including an image, a class of each of one or more objects shown in the image, and the number of objects, from a storage. The learning device trains a feature extraction part, a class estimation part, and an object number estimation part using the first training data. For each of images of which the number is smaller than the plurality of images, the learning device acquires second training data including an image and coordinates of each of one or more objects in the image, from the storage. The learning device causes the trained feature extraction part to output a feature map of the image included in the second training data, and trains a coordinate estimation part using the feature map and the coordinates included in the second training data.

Abstract: A signal processing device comprises: input transducer(s) configured to convert input(s) to an input signal; output transducer(s) configured to convert an output signal to output(s); a signal processing circuit configured to at least subtract a feedback estimation signal from the input signal to produce a feedback compensated signal; and an adaptive feedback estimator.

Abstract: A signal processing device comprises: input transducer(s) configured to convert input(s) to an input signal; output transducer(s) configured to convert an output signal to output(s); a signal processing circuit configured to at least subtract a feedback estimation signal from the input signal to produce a feedback compensated signal; and an adaptive feedback estimator.

Abstract: Provided is a method of preparing isosulfan blue.

Abstract: The present disclosure provides a process for the preparation of velpatasvir intermediates. The intermediates may be further converted to velpatasvir or pharmaceutically acceptable salts thereof.

Abstract: The invention relates to the development of a simple and eco-friendly process of extraction of sweet glycosides: steviosides from the leaves of Stevia rebaudiana. In particular, certain embodiments provide enhanced isolation of steviosides by enzyme assisted extraction, in combination with metal salts, followed by pressurized aqueous extraction. Thus obtained stevia extract was further processed for clarification and purification using multi-stage membrane filters (micro-filtration, ultra-filtration and nano membrane filtration) to obtain high purity steviosides from the Stevia leaves. This improved process confirms the isolation of high purity steviol glycosides i.e., Stevioside and Rebaudioside-A as the final products, with improved organoleptic properties. Thus, this superior process helps in obtaining pure steviosides from the Stevia leaf extract, without impurities and obnoxious residues, using easy operational technology without any damage to the environment.

Abstract: Provided is a method of preparing isosulfan blue.