Abstract: The present disclosure describes an ultrasonic flowmeter including: a measuring tube with a measuring tube wall and at least one pair of housings extending to an outer side of the measuring tube wall; a pair of ultrasonic transducers, each with a transducing element for generating and/or sensing ultrasonic pulses and a transducer body, wherein each of the housings is arranged to house one of the transducers, and wherein the housings have an inner first diameter; wherein transducer body includes a circumferential surface, and wherein the transducer body includes an end face, wherein the end face has a second diameter, and wherein the transducer includes at least one first protrusion protruding from the circumferential surface into a gap between the transducer body and the housing.

Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.

Abstract: A method and system provide a backup push-to-talk (PTT) function for a transmitter in a stuck microphone condition. The method determines whether a stuck microphone condition exists in the transmitter, and if the stuck microphone condition exists, the method alerts a user that the stuck microphone condition exists. The method then enables a backup PTT interface for the transmitter such that a backup PTT button is available to the user to activate the backup PTT function. The method alerts the user when the backup PTT function is activated, and sends a message to a receiver after the backup PTT button is engaged by the user.

Abstract: Computer-implemented methods for speech synthesis are provided. A speech synthesizer may be trained to generate synthesized audio data that corresponds to words uttered by a source speaker according to speech characteristics of a target speaker. The speech synthesizer may be trained by time-stamped phoneme sequences, pitch contour data and speaker identification data. The speech synthesizer may include a voice modeling neural network and a conditioning neural network.

Abstract: A method for worklist prioritization for Clinical Documentation Improvement (CDI) in medical coding comprises receiving one or more cases from an admin computing device associated with a hospital administration, wherein each of the one or more cases is assigned a predetermined weightage to a corresponding plurality of parameters involved in each case; generating a confidence score of each of the one or more cases; adding the predetermined weightages of each of the one or more cases based on the confidence score; providing the one or more cases in a sequence based on a sum of predetermined weightages of each of the one or more cases from highest to lowest; and marking & scheduling the one or more cases in the generated sequence for a CDI Specialist (CDS) for review and take up of the one or more case based on the priority level for query generation.

Abstract: Various embodiments provide STOPS™ polymers that are S-antigen transport inhibiting oligonucleotide polymers, processes for making them and methods of using them to treat diseases and conditions. In some embodiments the STOPS™ modified oligonucleotides include an at least partially phosphorothioated sequence of alternating A and C units having modifications as described herein. The sequence independent antiviral activity against hepatitis B of embodiments of STOPS™ modified oligonucleotides, as determined by HBsAg Secretion Assay, is greater than that of a reference compound.

Abstract: Techniques for enhancing actionable opportunities through machine learning are disclosed. In some embodiments, a system includes an event listener for detecting an opportunity to perform an action using one or more computing resources. When a new opportunity is detected, the system generates a set of search criteria, which is used to search a set of external web resources for current events. The system may then generate, using a machine learning model as a function of one or more features extracted from current events satisfying the search criteria, a score representing a likelihood of success that the action leads to an optimal result. The system may tune the machine learning model based on feedback received that is indicative of how the current events affected the likelihood of success for the action.

Abstract: A general-purpose graphics processor comprising a first set of compute units, a second set of compute units, and a memory coupled with the first set of compute units and the second set of compute units is described. The memory is configured to merge a first read request to an address block of the memory with a second read request to the address block of the memory to reduce a number of memory accesses to a memory bank associated with the address block. The graphics processor can also include a memory arbiter that can multicast merged reads to the compute units associated with the merged reads.

Abstract: In aspects of location correlation in a region, a mobile device implements a location module that determines a current location of the mobile device in a region within communication range of a radio system based on location data received in radio signals from the radio system. The location module determines region coordinates at the current location of the mobile device in the region. The location module can then associate the region coordinates at the current location of the mobile device in the region with pixel grid coordinates determined from a digital image view as captured by a camera system in the region, and generate a location mapping of the region based on the current location and subsequent locations of the mobile device in the region. The location mapping correlates the locations of the mobile device in the region based on the pixel grid coordinates at the respective locations.

Abstract: The present disclosure is directed to dynamically determining the breadth of user intent reflected in a given search query. For example, historical user behaviors are used to construct a mapping that links particular search queries (or their constituent keyword strings) to items that users interact with during a predetermined window of time after submitting the query. The number of categories or browse nodes associated with these items (or a most popular subset thereof) is used to determine whether the search intent is broad or narrow. For broad searches, the present disclosure causes output of a specialized user interface that facilitates browsing of items in the browse nodes or categories, in place of the typical search results user interface.

Abstract: In aspects of location correlation in a region, a mobile device implements a location module that determines a current location of the mobile device in a region within communication range of a radio system based on location data received in radio signals from the radio system. The location module determines region coordinates at the current location of the mobile device in the region. The location module can then associate the region coordinates at the current location of the mobile device in the region with pixel grid coordinates determined from a digital image view as captured by a camera system in the region, and generate a location mapping of the region based on the current location and subsequent locations of the mobile device in the region. The location mapping correlates the locations of the mobile device in the region based on the pixel grid coordinates at the respective locations.

Abstract: The disclosure includes antisense oligonucleotides, including gapmer antisense oligonucleotides, along with methods of making and use, e.g., against HBV.

Abstract: A method of defect validation for a device manufacturing process, the method including: obtaining a first image of a pattern processed into an area on a substrate using the device manufacturing process under a first condition; obtaining a metrology image from the area; aligning the metrology image and the first image; and determining from the first image and the metrology image whether the area contains a defect, based on one or more classification criteria.

Abstract: The present invention relates to an improved process for the preparation of 3-(4-methyl-1H-imidazol-1-yl)-5-(trifluoromethyl) aniline of Formula (I).

Abstract: For anomaly detection based on topogram predication from surface data, a sensor captures the outside surface of a patient. A generative adversarial network (GAN) generates a topogram representing an interior anatomy based on the outside surface of the patient. An X-ray image of the patient is acquired and compared to the generated topogram. By quantifying the difference between the real X-ray image and the predicted one, anatomical anomalies may be detected.

Abstract: Systems and processes for providing response suggestions are provided. In one example process, a textual representation of a message is received. Based on the textual representation of the message, one or more response categories and a predetermined number of suggested inputs corresponding to each of the one of more response categories are obtained. Based on the predetermined number of suggested inputs corresponding to each of the one of more response categories, one or more suggested inputs for each of the one or more response categories are determined. The one or more suggested inputs are provided as response suggestions to the message.

Abstract: A computing device includes a control system that communicates with multiple sensors that capture data regarding a user. The control system communicates with each of the sensors to obtain information regarding the capabilities of each sensor, and uses this capability information to determine how to configure each of the sensors. The control system also selects one of the multiple sensors to be the master sensor, and the rest of the multiple sensors are slave sensors, and notifies the multiple sensors of whether they are a slave sensor or a master sensor. The master sensor collects sensor data for the multiple sensors, capturing data itself as well as receiving data captured by the slave sensors from the slave sensors. The master sensor sends an indication of the collected data (e.g., the collected data itself or data resulting from processing the collected data) to the control system for analysis and/or processing.

Abstract: Systems and methods for continuous monitoring of the behavior of animals, such as small rodents, are provided. Monitoring can include video, audio, and other sensor modalities. In one embodiment, the system can include cameras, arena design, environmental sensors, and ultrasonic sensors. The system uniquely provides a continuous long-term monitoring system suitable for mouse behavioral study. Further provided is a neural network based tracker configured for use with video data acquired by the monitoring system. 3 different neural network architectures have been tested to determine their performance on genetically diverse mice under varying environmental conditions. It has been observed that that an encoder-decoder segmentation neural network achieves high accuracy and speed with minimal training data.

Abstract: Modified oligonucleotides comprising modifications at the 2? and/or 3? positions(s) along with methods of making and use, e.g., against HBV are disclosed.

Abstract: For training for and performance of patient modeling from surface data in a medical system, a progressive multi-task model is used. Different tasks for scanning are provided, such as landmark estimation and patient pose estimation. One or more features learned for one task are used as fixed or constant features in the other task. This progressive approach based on shared features increases efficiency while avoiding reductions in accuracy for any given task.