Abstract: Systems, devices, and methods are disclosed for wireless communication of analyte data. In this regard, in embodiments, a mobile includes a transceiver configured to transmit and receive wireless signals. The mobile device includes circuitry operatively coupled to the transceiver. The mobile device also includes a non-transitory computer-readable medium operatively coupled to the circuitry and storing instructions that, when executed, cause the mobile device to perform a number of operations. One such operation is to obtain a derivative of a first signal received via a first link. Another such operation is to obtain a derivative of a second signal received via a second link; and. Yet another such operation is to generate a selection for connection to an analyte sensor system, based on a comparison of the derivative of the first signal and the derivative of the second signal.

Abstract: Methods of treating a head and neck cancer are disclosed.

Abstract: Embodiments disclosed herein generally relate to connected machine learning models with joint training for lesion detection. Particularly, aspects of the present disclosure are directed to accessing a three-dimensional magnetic resonance imaging (MRI) image, wherein the three-dimensional MRI image depicts a region of a brain of a subject, wherein the region of the brain includes at least a first type of lesions and a second type of lesions; inputting the three-dimensional MRI image into a machine-learning model comprising a first convolutional neural network and a second convolutional neural network; generating a first segmentation mask for the first type of lesions using the first convolutional neural network that takes as input the three-dimensional MRI image; generating a second segmentation mask for the second type of lesions using the second convolutional neural network that takes as input the three-dimensional MRI image; and outputting the first segmentation mask and the second segmentation mask.

Abstract: An improved computing tool performs an improved computing tool function to identify sensitive data risks in cloud-based deployments. A knowledge graph is built based on data schema information for a cloud-based computing environment, a set of parsed infrastructure logs, and a set of captured application queries. A set of sensitive flows in the knowledge graph are identified representing paths from a sensitive data element to an endpoint in the knowledge graph. The set of sensitive flows are scored based on a scoring algorithm and an alert is issued to an administrator in response to a score of a sensitive flow within the set of sensitive flows exceeding a threshold.

Abstract: Methods and compositions for treating cancer such as melanomas are disclosed.

Abstract: Techniques for modifying a garment based on gestures are presented herein. An access module can access a first set of sensor data from a first sensor, and a second set of sensor data from a second sensor. A garment simulation module can generate a three-dimensional (3D) garment model of a garment available for sale draped on an avatar based on the first set of sensor data and the second set of sensor data. A display module can cause a presentation, on a display of a device, of the 3D garment model draped on the avatar. Additionally, the garment simulation module can determine a modification gesture associated with the 3D garment model draped on the avatar based on the first set of sensor data and the second set of sensor data. Furthermore, the garment simulation module can modify the 3D garment model based on the determined modification gesture.

Abstract: Methods for classifying and for evaluating the prognosis of a subject having breast cancer are provided. The methods include prediction of breast cancer subtype using a supervised algorithm trained to stratify subjects on the basis of breast cancer intrinsic subtype. The prediction model is based on the gene expression profile of the intrinsic genes listed in Table 1. This prediction model can be used to accurately predict the intrinsic subtype of a subject diagnosed with or suspected of having breast cancer. Further provided are compositions and methods for predicting outcome or response to therapy of a subject diagnosed with or suspected of having breast cancer. These methods are useful for guiding or determining treatment options for a subject afflicted with breast cancer.

Abstract: A system comprises a first processing block configured to receive, from a first local resource, a formatted transaction in a format that is not recognizable by a remote endpoint; determine a first transaction category, from among a plurality of transaction categories, of the formatted transaction based on content of the formatted transaction; perform one or operations on the formatted transaction based on the first transaction category to form a reformatted transaction in a format that is recognizable by the remote endpoint; and place the reformatted transaction in a queue for transmission to the remote endpoint.

Abstract: Techniques disclosed herein are directed to detect the presence of false, incorrect, or spoofed Global Navigation Satellite Systems (GNSS) signals. Embodiments may comprise receiving, at a mobile device, a global navigation satellite system (GNSS) signal via a GNSS antenna of the mobile device; determining first movement data based on the GNSS signal; determining second movement data based on data from one or more motion sensors of the mobile device, wherein the first movement data and the second movement data each comprise respective movement-related information regarding the mobile device during a time period; and providing an indication that GNSS error is occurring based on a determination that a difference between first movement data and the second movement data exceeds a threshold.

Abstract: Mechanisms are provided in a cloud-based computing environment for identifying sensitive data risks in cloud-based deployments. The mechanisms build a knowledge graph based on data schema information for a cloud-based computing environment, a set of parsed infrastructure logs, and a set of captured application queries. The mechanisms identify a set of sensitive flows in the knowledge graph representing paths from a sensitive data element to an endpoint in the knowledge graph. The mechanisms score the set of sensitive flows based on a scoring algorithm and issue an alert to an administrator in response to a score of a sensitive flow within the set of sensitive flows exceeding a threshold.

Abstract: Novel RET fusion molecules and uses are disclosed.

Abstract: Embodiments disclosed herein generally relate to multi-arm machine learning models for lesion detection. Particularly, aspects of the present disclosure are directed to accessing a three-dimensional magnetic resonance imaging (MRI) images. Each of the three-dimensional MRI images depict a same volume of a brain of a subject. The volume of the brain includes at least part of one or more lesions. Each three-dimensional MRI image of the three-dimensional MRI images is processed using one or more corresponding encoder arms of a machine-learning model to generate an encoding of the three-dimensional MRI image. The encodings of the three-dimensional MRI images are concatenated to generate a concatenated representation. The concatenated representation is processed using a decoder arm of the machine-learning model to generate a prediction that identifies one or more portions of the volume of the brain predicted to depict at least part of a lesion.

Abstract: The disclosure herein describes management of transaction blocking schemes via a user interface. A transaction blocking scheme is receiving via the user interface from a user, including transaction blocking rules. The transaction blocking rules are applied to transaction data associated with the user. Transaction blocking scheme performance data is generated based on the application of the transaction blocking rules to the transaction data, including a quantity of transactions of the transaction data that are blocked by the transaction blocking rules. A visualization of the transaction blocking scheme performance data is displayed via the user interface and the user is prompted to provide a response based on the displayed visualization. Based on the response to the prompt, the transaction blocking scheme is activated for application to incoming transactions, whereby the transaction blocking rules are applied to incoming transactions to determine whether to block the incoming transactions.

Abstract: Techniques for modifying a garment based on gestures are presented herein. An access module can access a first set of sensor data from a first sensor, and a second set of sensor data from a second sensor. A garment simulation module can generate a three-dimensional (3D) garment model of a garment available for sale draped on an avatar based on the first set of sensor data and the second set of sensor data. A display module can cause a presentation, on a display of a device, of the 3D garment model draped on the avatar. Additionally, the garment simulation module can determine a modification gesture associated with the 3D garment model draped on the avatar based on the first set of sensor data and the second set of sensor data. Furthermore, the garment simulation module can modify the 3D garment model based on the determined modification gesture.

Abstract: A method of analyzing a tumor sample comprising: (a) acquiring a library comprising a plurality of tumor members from a tumor sample; (b) contacting the library with a bait set to provide selected members; (c) acquiring a read for a subgenomic interval from a tumor member from said library; (d) aligning said read; and (e) assigning a nucleotide value (e.g., calling a mutation) from said read for the preselected nucleotide position, thereby analyzing said tumor sample.

Abstract: A system and method for operating a rotatable knob module with adjustable tactile feedback. The rotatable knob module includes a knob configured to continuously rotate about a center axis and an electronic processor. The electronic processor is configured to determine a current trailer angle, define a virtual center position of the knob based on the current trailer angle, and adjust a rotational torque of the knob when the knob is rotated from a first rotational position to a second rotational position based on a relative virtual rotational distance of the second rotational position from the virtual center position.

Abstract: A computer implemented method manages connections. A number of processor units monitor connection requests to access a set of backend resources. The number of processor units identify request groups for the connection requests based on authentication data in the connection requests. The number of processor units analyze the connection requests to identify a usage trend for connections by the request groups. The number of processor units predict the usage trend of the connections for a period of time to form a predicted usage trend for connections in the period of time. The number of processor units manage a connection pool based on the predicted usage trend for the connections in the period of time.

Abstract: Described embodiments provide systems and methods for an attachment mechanism for attaching a strap around a body extremity. The attachment mechanism includes a hook, a first channel, and a second channel. The hook includes a first longitudinal axis and coupled to the strap at a first region of the hook. The first channel allowing the attachment mechanism to receive the strap. The second channel extending from the first channel and having an opening allowing the attachment mechanism to secure the strap, the opening extending along a second longitudinal axis, the second longitudinal axis forming an angle of less than ninety degrees with the first longitudinal axis. The strap is coupled to a harness. The strap includes a first portion, an attachment portion attached to the first portion, a main portion attached to the attachment portion; and an elastic portion attached to the main portion.

Abstract: Systems, devices, and methods are disclosed for wireless communication of analyte data. In this regard, in embodiments, a mobile includes a transceiver configured to transmit and receive wireless signals. The mobile device includes circuitry operatively coupled to the transceiver. The mobile device also includes a non-transitory computer-readable medium operatively coupled to the circuitry and storing instructions that, when executed, cause the mobile device to perform a number of operations. One such operation is to obtain a derivative of a first signal received via a first link. Another such operation is to obtain a derivative of a second signal received via a second link; and. Yet another such operation is to generate a selection for connection to an analyte sensor system, based on a comparison of the derivative of the first signal and the derivative of the second signal.