Abstract: A modular patient monitor provides a multipurpose, scalable solution for various patient monitoring applications. In an embodiment, a modular patient monitor utilizes multiple wavelength optical sensor and/or acoustic sensor technologies to provide blood constituent monitoring and acoustic respiration monitoring (ARM) at its core, including pulse oximetry parameters and additional blood parameter measurements such as carboxyhemoglobin (HbCO) and methemoglobin (HbMet). Expansion modules provide blood pressure BP, blood glucose, ECG, CO2, depth of sedation and cerebral oximetry to name a few. Aspects of the present disclosure also include a transport dock for providing enhanced portability and functionally to handheld monitors. In an embodiment, the transport dock provides one or more docking interfaces for placing monitoring components in communication with other monitoring components. In an embodiment, the transport dock attaches to the modular patient monitor.

Abstract: Method and apparatus for transmitting credentials to a transaction processing system, the credentials arranged in sets and a set including a unique identifier and verification data elements. Credentials are activated and are then available for use in at least one subsequent transaction. In the transaction, in response to receiving authorization from a user, the unique identifier and verification data elements from a set are transmitted to the transaction processing system for the user. The credentials are activated using an activation mode selected from at least a first activation mode and a second activation mode. In the first activation mode, additional user input for the verification data elements associated with the unique identifier is received from the user. In the second activation mode, the user is authenticated, and verification data elements are received via a data communications network are received from a trusted data processing system remote from the user.

Abstract: A modular patient monitor provides a multipurpose, scalable solution for various patient monitoring applications. In an embodiment, a modular patient monitor utilizes multiple wavelength optical sensor and/or acoustic sensor technologies to provide blood constituent monitoring and acoustic respiration monitoring (ARM) at its core, including pulse oximetry parameters and additional blood parameter measurements such as carboxyhemoglobin (HbCO) and methemoglobin (HbMet). Expansion modules provide blood pressure BP, blood glucose, ECG, CO2, depth of sedation and cerebral oximetry to name a few. Aspects of the present disclosure also include a transport dock for providing enhanced portability and functionally to handheld monitors. In an embodiment, the transport dock provides one or more docking interfaces for placing monitoring components in communication with other monitoring components. In an embodiment, the transport dock attaches to the modular patient monitor.

Abstract: A method of treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), otherwise known as COVID-19, infection by administering nicotinic receptor antagonists and/or PPAR-? agonists is presented. A combination of mecamylamine, or an isomer thereof, and pioglitazone synergistically reduces replication of SARS-CoV-2 in virus-infected cells and also synergistically reduces inflammatory cytokines such as IL-6, IL-?, and TNF?, which have been associated with SARS-CoV-2 infection.

Abstract: Systems, methods, and software are disclosed herein that improve the instruction of prosody in the context of software applications and services. In various implementations, a service analyzes an audio recording of a user reading text aloud to determine the prosody of the reading. The service provides data to an application indicative the prosody, as well as a reference prosody for the text. The application may then display of a visualization of a comparison of the user prosody for the text to the reference prosody for the text for consumption by users, e.g., a teacher or the reader.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributing machine learning workloads, e.g., computations for training a neural network or computing an inference using a neural network, across multiple hardware accelerators.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributing machine learning workloads, e.g., computations for training a neural network or computing an inference using a neural network, across multiple hardware accelerators.

Abstract: A method of identifying reading passages for reading progress can include receiving a set of error-indicated phonemes, wherein the set of error-indicated phonemes correspond to pronunciation errors identified in a recorded audio file from an individual reading an assigned passage aloud; determining corresponding error-indicated phonetic rules for each error-indicated phoneme of the set of error-indicated phonemes using a mapping of phonemes to phonetic rules; identifying at least one content passage from a set of content passages that satisfies a condition with respect to the error-indicated phonetic rules; and providing the at least one content passage for a new assignment for the individual to read aloud.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributing machine learning workloads, e.g., computations for training a neural network or computing an inference using a neural network, across multiple hardware accelerators.

Abstract: Systems, apparatuses, interfaces, and applications and method implementing them configured to setup a parent and child information, select specific child funding instruments and select specific celebration days so that relatives and friends may contribute funds to the selected child funding instruments on one or more of the selected celebration days.

Abstract: A data collection system for semiconductor manufacturing includes: T substrate processing tools, where each of the T substrate processing tools includes: N processing chambers, where each of the N processing chambers includes a processing chamber controller configured to receive a plurality of different types of data during operating of the corresponding one of the N processing chambers, where the plurality of different types of data have different formats, where the processing chamber controller is further configured to format the plurality of different types of data into formatted data, and where T and N are integers; and a data diagnostic services computer configured to: receive and store the formatted data as categories in a common file having a table-like data structure including rows with contextual data; and in response to a request, generate an output file including a subset of the data from the common file.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving, by a computational graph system, a request to process a computational graph; obtaining data representing a subgraph of the computational graph, the computational graph comprising a plurality of nodes and directed edges, wherein each node represents a respective operation, wherein each directed edge connects a respective first node to a respective second node, the subgraph assigned to a first device by a placer in the computational graph system; determining that the first device comprises a hardware accelerator having a plurality of streams; in response to determining, generating instructions that when executed by the first device cause the first device to: assign the operation represented by each node in the subgraph to a respective stream; and perform the operations represented by the nodes in the subgraph in accordance with the assignment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving, by a computational graph system, a request to process a computational graph; obtaining data representing a subgraph of the computational graph, the computational graph comprising a plurality of nodes and directed edges, wherein each node represents a respective operation, wherein each directed edge connects a respective first node to a respective second node, the subgraph assigned to a first device by a placer in the computational graph system; determining that the first device comprises a hardware accelerator having a plurality of streams; in response to determining, generating instructions that when executed by the first device cause the first device to: assign the operation represented by each node in the subgraph to a respective stream; and perform the operations represented by the nodes in the subgraph in accordance with the assignment.

Abstract: A modular patient monitor provides a multipurpose, scalable solution for various patient monitoring applications. In an embodiment, a modular patient monitor utilizes multiple wavelength optical sensor and/or acoustic sensor technologies to provide blood constituent monitoring and acoustic respiration monitoring (ARM) at its core, including pulse oximetry parameters and additional blood parameter measurements such as carboxyhemoglobin (HbCO) and methemoglobin (HbMet). Expansion modules provide blood pressure BP, blood glucose, ECG, CO2, depth of sedation and cerebral oximetry to name a few. Aspects of the present disclosure also include a transport dock for providing enhanced portability and functionally to handheld monitors. In an embodiment, the transport dock provides one or more docking interfaces for placing monitoring components in communication with other monitoring components. In an embodiment, the transport dock attaches to the modular patient monitor.

Abstract: A modular patient monitor provides a multipurpose, scalable solution for various patient monitoring applications. In an embodiment, a modular patient monitor utilizes multiple wavelength optical sensor and/or acoustic sensor technologies to provide blood constituent monitoring and acoustic respiration monitoring (ARM) at its core, including pulse oximetry parameters and additional blood parameter measurements such as carboxyhemoglobin (HbCO) and methemoglobin (HbMet). Expansion modules provide blood pressure BP, blood glucose, ECG, CO2, depth of sedation and cerebral oximetry to name a few. Aspects of the present disclosure also include a transport dock for providing enhanced portability and functionally to handheld monitors. In an embodiment, the transport dock provides one or more docking interfaces for placing monitoring components in communication with other monitoring components. In an embodiment, the transport dock attaches to the modular patient monitor.

Abstract: An automatic speech sensitivity adjustment feature is provided. The described sensitivity feature can enable an automatic system adjustment of a sensitivity level based on the number and type of determined speech errors. The sensitivity level determines how sensitive the sensitivity feature will be when indicating speech errors. The sensitivity feature can receive audio input comprising one or more spoken words and determine speech errors for the audio input using at least a sensitivity level. The sensitivity feature can determine whether an amount and type of the speech errors requires an adjustment to the sensitivity level. The sensitivity feature can adjust the sensitivity level to a second sensitivity level based on the amount and type of the speech errors, where the second sensitivity level is a different level than the sensitivity level. The sensitivity feature can re-determine the speech errors for the audio input using at least the second sensitivity level.

Abstract: A computer-implemented method that may be carried out by a reader device or other computing device includes identifying boundaries of words and sentences of displayed content and receiving a language selection of a language for translating a selected unit of text in the displayed content; translating the unit of text to the selected language; retrieving from a picture dictionary, a pictogram associated with a tag applied to the word or at least one word from the sentence of the selected unit of text; generating pronunciation files for both an original language of the unit of text and the selected language; and displaying, in context with the displayed content, the unit of text in the original language and the selected language, the pictogram, and icons for requesting to play the pronunciation files. The selected unit of text can be a word or a sentence.

Abstract: A non-invasive electronic patient monitor tracks one or more physiological parameters of a patient, such as intravascular volume index (IVI), extravascular volume index (EVI), total hemoglobin (SpHb), impedance, and/or weight. The patient monitor determines if one or more of the physiological parameters are within a predetermined range. The patient monitor activates an alarm if one or more of the physiological parameters are outside the predetermined range and indicates a patient can be experiencing edema and/or heart failure, or sepsis.

Abstract: A non-invasive electronic patient monitor tracks one or more physiological parameters of a patient, such as intravascular volume index (IVI), extravascular volume index (EVI), total hemoglobin (SpHb), impedance, and/or weight. The patient monitor determines if one or more of the physiological parameters are within a predetermined range. The patient monitor activates an alarm if one or more of the physiological parameters are outside the predetermined range and indicates a patient can be experiencing edema and/or heart failure, or sepsis.

Abstract: A mobile device accesses an image generated with an image sensor of the mobile device. The mobile device detects text content in the image (using Optical Character Recognition). The mobile device accesses a reading preference of a user of the mobile device and formats the text content according to the reading preference. The mobile device then generates and displays the formatted text content in a display of the mobile device.