Abstract: The present disclosure provides methods for treating a subject having a HER2 non-amplified (HER2-negative) cancer or low HER2 expressing (HER2-low) cancer, comprising detecting expression of a BCAR4 gene fusion in a biological sample from the subject. If expression of the BCAR4 gene fusion is detected, a HER2-targeted cancer treatment is administered to the subject; if expression of the BCAR4 gene fusion is not detected, a cancer treatment that is not HER2-targeted is administered to the subject. Methods of predicting response to a HER2-targeted cancer treatment and detecting BCAR4 or BCAR4 gene fusion activation are also provided.

Abstract: A method of operating an engine includes operating the engine in first and second engine operating map regions by performing passive jet ignition combustion with a first stoichiometric fuel mixture and a first volume of residual gas. The engine is operated in a third engine operating map region by performing turbulent jet controlled compression ignition (TJCCI) with an ultra lean fuel mixture and a first volume of cooled exhaust gas recirculation, a fourth engine operating map region by performing passive jet ignition combustion with a third stoichiometric fuel mixture and a second volume of cooled exhaust gas recirculation, and a fifth engine operating map region, characterized by shutting off the engine. The engine is operated in a mode transition region between the second, third, and fourth engine operating map regions by performing passive jet ignition combustion with a second stoichiometric fuel mixture and a second volume of residual gas.

Abstract: Methods and systems are described for maintaining hygienic conditions in automatic teller machines by detecting whether or not a user is not in compliance with a hygienic standard. If a user is not in compliance, then the automatic teller machine may execute a hygienic action to cleanse the automatic teller machine. For example, the hygienic action may comprise automatically cleansing the automatic teller machine, disabling the automatic teller machine from service, transmitting a sanitation service request to an automatic teller machine provide, and/or initiating an alternative control scheme (e.g., voice controls, gesture-based controls, etc.) for the automatic teller machine.

Abstract: Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set).

Abstract: Disclosed herein are systems (e.g., moving bed redox systems) and methods for supplying thermal energy to an endothermic chemical process.

Abstract: The present disclosure generally provides compounds that antagonize certain T2R taste receptors, including related uses, methods, and compositions for the reduction of bitter taste and/or the enhancement of sweet taste. In certain aspects, the disclosure provides flavored articles or flavored compositions comprising such compounds, as well as uses of such compounds to reduce the bitter taste and/or enhance the sweet taste of such flavored articles or flavored compositions.

Abstract: An autonomous vehicle includes one or more sensors for detecting an object in an environment surrounding the autonomous vehicle and a vehicle computing system comprising one or more processors receiving canonical route data associated with at least one canonical route, and controlling travel of the autonomous vehicle based on sensor data from the one or more sensors and the canonical route data associated with the at least one canonical route. The at least one canonical route comprises at least one roadway connected with another roadway in a plurality of roadways in a geographic location that satisfies at least one route optimization function derived based on trip data associated with one or more traversals of the plurality of roadways in a geographic location by one or more autonomous vehicles.

Abstract: Methods, systems, and apparatus, for automatically changing a network system. A method includes receiving a set of first intents that describe a state of a first switch fabric; receiving a set of second intents that describe a state of a second switch fabric; computing a set of network operations to perform on the first switch fabric to achieve the second switch fabric, the set of operations also defining an order in which the operations are to be executed, and the set of operations determined based on the set of first intents, the set of second intents, and migration logic that defines a ruleset for selecting the operations based on the set of first intents and the second intents; and executing the set of network operations according to the order, to apply changes to elements within the first switch fabric to achieve the state of the second switch fabric.

Abstract: Compounds and methods for preventing and/or treating one or more symptoms of sickle cell diseases (SCD) by administering at least one of the compounds are provided. The compounds are chemically modified to increase bioavailability and activity, e.g., so that the compounds prevent adhesion and sickling of red blood cells (RBCs).

Abstract: In some examples, for process-to-process communication, such as in function linking, a virtual channel can be provisioned to provide virtual machine to virtual machine communications. In response to a transmit request from a source virtual machine, the virtual channel can cause a data copy from a source buffer associated with the source virtual machine without decryption or encryption. The virtual channel provisions a key identifier for the copied data. The destination virtual machine can receive an indication data is available and can cause the data to be decrypted using a key accessed using the key identifier and source address of the copied data. In addition, the data can be encrypted using a second, different key for storage in a destination buffer associated with the destination virtual machine. In some examples, the key identifier and source address is managed by the virtual channel and is not visible to virtual machine or hypervisor.

Abstract: This disclosure describes, in part, systems for enabling facilities to implement techniques to determine when users are in possession of items when located within and/or exiting the facilities. For instance, a system may use one or more sensors to determine locations of a user that navigated through a facility. Additionally, the system may use one or more sensors to determine locations of an item while the item was located within the facility. The system may then determine a probability that the user was in possession of the item when in the facility and/or when exiting the facility based at least in part on the locations of the user and the locations of the item. If the system determines that the user was in possession of the item when exiting the facility, the system may charge a payment instrument of the user for a price of the item.

Abstract: Embodiments detect identity attacks by comparing usage of compromised passphrases or other weak credentials in failed sign-in attempts to access restriction conditions. A restriction threshold amount of weak credential failed sign-ins (WCFSI) or a WCFSI increase indicates an identity attack, such as a password spray attack. Going beyond the mere number of failed sign-ins by also considering credential strength allows embodiments to detect attacks sooner than other approaches. An embodiment may also initiate or impose defenses by locking accounts, blocking IP addresses, or requiring additional authentication before access to an account is allowed. Weak credentials may include short passwords, simple passwords, compromised passwords, or wrong usernames, for instance. Password strength testing may be used for attack detection in addition to preventive use on passwords proposed by authorized users. Familiar and unfamiliar traffic source locations may be tracked, as sets or individually.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: There is described a method of shading a group of pixels in a fragment shader in a raster graphics pipeline. At least one first pilot pixel of the group of pixels is shaded under a first precision. At least one second pilot pixel of the group of pixels is shaded under a second precision. An error value representing a difference between the first and second pilot pixels is calculated. At least one other pixel of the group of pixels is shaded under the first precision if the error value is greater than an error threshold. The at least one other pixel is shaded under the second precision if the error value is smaller than the error threshold.

Abstract: Reconfigurable dataflow architecture is an emerging design for deep learning training accelerator. This architecture maps model operators to an accelerator in a spatial way, enabling pipeline parallelization for high throughput. An essential ingredient to exploit this throughput advantage is compiler Performance Optimization (PO) which searches for optimal model mappings. The convention in industry-leading dataflow compilation uses hand-tuned rules to guide PO, requiring immense engineering cost to develop. This paper challenges this convention and asks if data-driven learned performance optimization can reduce the engineering cost while improving training throughput over hand-tuned rules. We present a workflow which guides PO using simple machine learning models trained from throughput observations of randomly generated mappings.

Abstract: This disclosure relates to GLP-1 agonists of Formula (I), including pharmaceutically acceptable salts and solvates thereof, and pharmaceutical compositions including the same.

Abstract: This disclosure relates to GLP-1 agonists of Formula (I): including pharmaceutically acceptable salts and solvates thereof, and pharmaceutical compositions including the same.

Abstract: A method of determining fraud includes: receiving a transaction request associated with a first payment transaction between a merchant and a user from a merchant system; generating a first risk score based on the transaction request and a first set pot of transaction data received prior to the transaction request; processing a transaction request approval based on the first risk score not satisfying a first threshold; receiving a risk score request associated with the first payment transaction, where the risk score request is received after the transaction request has been approved; generating a second risk score based on a second set of transaction data received after the first risk score is determined; and automatically classifying the first payment transaction as potentially fraudulent in response to determining that the second risk score satisfies a second threshold.

Abstract: Various embodiments of a fall-detection system for detecting personal fall while preserving the privacy of a detected person are disclosed. This disclosed fall-detection system can begin by receiving a sequence of video images comprising a person being monitored. The disclosed fall-detection system then processes each video image in the sequence of video images by: detecting the person in the video image; and extracting a skeletal figure of the detected person by identifying a set of human keypoints from the detected person. Next, the disclosed fall-detection system processes the sequence of skeletal figures corresponding to the sequence of video images by labeling each skeletal figure in the sequence of skeletal figures with an action among a set of predetermined actions. The disclosed fall-detection system subsequently generates a fall/non-fall decision for the detected person based on the set of action labels corresponding to the sequence of video images.

Abstract: Embodiments of systems, apparatuses and methods provide enhanced function as a service (FaaS) to users, e.g., computer developers and cloud service providers (CSPs). A computing system configured to provide such enhanced FaaS service include one or more controls architectural subsystems, software and orchestration subsystems, network and storage subsystems, and security subsystems. The computing system executes functions in response to events triggered by the users in an execution environment provided by the architectural subsystems, which represent an abstraction of execution management and shield the users from the burden of managing the execution. The software and orchestration subsystems allocate computing resources for the function execution by intelligently spinning up and down containers for function code with decreased instantiation latency and increased execution scalability while maintaining secured execution.