Abstract: According to various embodiments, a circuit for determining the frequency of a signal is described, comprising an input configured to receive an analog input signal, an analog to digital converter configured to convert the analog input signal to a digital input signal, a digital mixer configured to generate a mixing result signal by mixing the digital input signal with a single bit binary signal having a reference frequency, a low pass filter configured to generate a filtered signal by filtering the mixing result signal, a measuring circuit configured to measure the period of the filtered signal and an output configured to output a value differing from the frequency of the single bit binary signal by the inverse of the measured period as the frequency to be determined.

Abstract: Concurrent servicing of a first cable of a cable pair while a second cable of the cable pair remains operational improves multi-processor computer system availability and serviceability. A pair of processing chips in different processing drawers may continue operation by way of the second cable while the first cable is degraded or serviced. Upon the servicing of the first cable, the serviced cable may transition to a fully operational state with no interruptions to the operations between the processing drawers by way of the second cable. Since cable faults are typically more common than processing chip or processing drawer faults, identification of cable faults and the ability to maintain operations of the processing drawers connected therewith is increasingly important.

Abstract: Devices used to pressurize, depressurize, or otherwise displace fluid are disclosed. The devices may be configured to displace fluid in order to inflate or deflate a medical device, such as a balloon. The devices further include features and mechanisms for limiting pressure generation so as to avoid damage due to overpressurization.

Abstract: Systems and methods for are provided for offloading computing tasks from constrained devices. An example apparatus includes an offload computing protocol (OCP) enabled device. The OCP enabled device includes OCP extensions to the operating system to enable the offloading of computing tasks. A proximity locator may use a radio transceiver to locate an OCP device that can accept a computing task. The OCP enabled device may include an OCP bundle comprising code and data, wherein the OCP bundle is to be sent to the OCP device.

Abstract: A package sort cell includes a robot with an end of arm tool for transporting packages from an in-feed conveyor to a selected one of a plurality of out-feed conveyors or bins, the robot receiving instruction from the package reader as to which of the plurality of conveyors or bins to hand-off the package. An end of arm tool may be in the configuration of a conveyor which may be aligned with the out-feed conveyor on a bottom up movement. The end of arm tool may also be in the configuration of a hanging carriage frame suspending a conveyor in a top down movement. A worker platform may be provided which may be movable between in-use and out-of-use positions whereby upon robot downtime, the platform may move into the in-use position for a worker to temporarily takeover the transfer functions of the robot. A plurality of sort cells may be arranged in side by side relation adjacent a like plurality of package delivery points (e.g.

Abstract: The present invention relates to a method and system that allows input mammography images to be converted between domains. More particularly, the present invention relates to converting mammography images from the image style common to one manufacturer of imaging equipment to the image style common to another manufacturer of imaging equipment. Aspects and/or embodiments seek to provide a method of converting input images from the format output by one imaging device into the format normally output by another imaging device. The imaging devices may differ in their manufacturer, model or configuration such that they produce different styles of image, even if presented with the same raw input data, due to the image processing used in the imaging device(s).

Abstract: This disclosure relates to JAK1 pathway inhibitors and the use thereof in treating cytokine-related diseases or disorders such as cytokine release syndrome (CRS), hemophagocytic lymphohistiocytosis (HLH), macrophage activation syndrome (MAS), and CAR-T-cell-related encephalopathy syndrome (CRES).

Abstract: Crystalline polymorph forms of neurotrophic agent 2,2,2-trifluoroacetic acid 1-(2,4-Dimethylphenyl)-2-[(3-methoxyphenyl)methylene]hydrazide (J147), and process for producing the crystalline polymorphic form are provided.

Abstract: The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for indicating whether additional medical tests are required after analysing an initial medical screening, in substantially real-time. Aspects and/or embodiments seek to provide a method and system for recommending additional medical tests, in substantially real-time, based on analysing an initial medical scan, with the use of deep learning.

Abstract: In one example embodiment, a method includes obtaining sets of input data and an objective, the sets of input data including values of wireless network communication parameters, generating sets of output data for the sets of input data in accordance with the objective, generating a mapping of the sets of input data to the sets of output data and training a network controller using the mapping.

Abstract: The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for suggesting whether to obtain a second review after a first user has performed a manual review/analysis of a set of medical images from an initial medical screening. Aspects and/or embodiments seek to provide a method and system for suggesting that a second radiologist reviews one or more cases/sets of medical images in response to a first radiologist's review of the case of medical images, based on the use of computer-aided analysis (for example using deep learning) on each case/set of medical images and the first radiologist's review.

Abstract: The present invention relates to deep learning for automated segmentation of a medical image. More particularly, the present invention relates to deep learning for automated segmentation of anatomical regions and lesions in mammography screening and clinical assessment. According to a first aspect, there is provided a computer-aided method of segmenting regions in medical images, the method comprising the steps of: receiving input data; analysing the input data by identifying one or more regions; determining one or more characteristics for the one or more regions in the input data; and generating output segmentation data in dependence upon the characteristics for the one or more regions.

Abstract: The present invention relates to a method and system that automatically classifies tissue type/patterns and density categories in mammograms. More particularly, the present invention relates to improving the quality of assessing density and tissue pattern distribution in mammography. According to a first aspect, there is provided a computer-aided method of analysing mammographic images, the method comprising the steps of: receiving a mammogram; segmenting one or more anatomical regions of the mammogram; identifying a tissue type and a density category classification for an anatomical region; and using the identified tissue type and density category classifications to generate classifications output for the mammogram.

Abstract: The present invention relates to a method and system that automatically determines malignancy in mammograms in parallel with a human operator. More particularly, the present invention relates to providing a reliable automated malignancy determination in parallel to a human operator to reduce the need for two human operators in a mammography analysis workflow. Aspects and/or embodiments seek to provide a method of automatically assessing mammography data in parallel with a human operator. Aspects and/or embodiments also seek to address the problems relating to providing a substantially reliable second reader to allow a single operator to analyse and diagnose mammography data.

Abstract: The present disclosure provides a multi-source data analytics system, data manager, and related methods. The multi-source data analytics are measured and used to generate an overall performance indicator. In some examples, the overall performance indicator relates to digital content items available on a digital media platform. The digital media platform obtains relevant data from multiple sources (or channels) and calculates the overall performance indicator so as to account for one or a combination of promotional bias of at least some data sources, user visits (or interactions/views), user engagement, user recirculation, or user acquisition and retention (e.g., subscriber acquisition and retention) for one or more of the multiple data sources. The overall performance indicator may be used by a data manager to locate content on the digital media platform for more effective interaction among other uses.

Abstract: This disclosure relates to JAK1 pathway inhibitors and the use thereof in treating cytokine-related diseases or disorders such as cytokine release syndrome (CRS), hemophagocytic lymphohistiocytosis (HLH), macrophage activation syndrome (MAS), and CAR-T-cell-related encephalopathy syndrome (CRES).

Abstract: The present invention relates to a method and system that allows input mammography images to be converted between domains. More particularly, the present invention relates to converting mammography images from the image style common to one manufacturer of imaging equipment to the image style common to another manufacturer of imaging equipment. Aspects and/or embodiments seek to provide a method of converting input images from the format output by one imaging device into the format normally output by another imaging device. The imaging devices may differ in their manufacturer, model or configuration such that they produce different styles of image, even if presented with the same raw input data, due to the image processing used in the imaging device(s).