Abstract: A method for coating a substrate includes spraying a combination of powders. The combination of powders includes: Hf0.5Si0.5O2; Zr0.5Si0.5O2; and, optionally, at least one of HfO2 and ZrO2. A molar ratio of said Hf0.5Si0.5O2 and HfO2 combined to said Zr0.5Si0.5O2 and ZrO2 combined is from 2:1 to 4:1. A molar ratio of said Hf0.5Si0.5O2 to said HfO2 is at least 1:3.

Abstract: Systems and methods for utilizing machine learning to generate a trans-diagnostic classifier that is operative to concurrently diagnose a plurality of different mental health disorders using a single trans-diagnostic questionnaire that includes a plurality of questions (e.g., 17 questions). Machine learning techniques are used to process labeled training data to build statistical models that include trans-diagnostic item-level questions as features to create a screen to classify groups of subjects as either healthy or as possibly having a mental health disorder. A subset of questions is selected from the multiple self-administered mental health questionnaires and used to autonomously screen subjects across multiple mental health disorders without physician involvement, optionally remotely and repeatedly, in a short amount of time.

Abstract: Example knowledge management systems and methods are described. In one implementation, a knowledge transfer plan is identified for transferring knowledge from a first person to a second person, where the knowledge transfer plan is associated with a topic. A meeting is identified between the first person and the second person to transfer knowledge therebetween. The knowledge management systems and methods generate a summary of the meeting and access data from an external source that is related to the topic of the knowledge transfer plan. The summary of the meeting and the data from an external source are aggregated into the knowledge transfer plan.

Abstract: Provided are examples of electrochemically active electrode materials, electrodes using such materials, and methods of manufacturing such electrodes. Electrochemically active electrode materials may include a high surface area template containing a metal silicide and a layer of high capacity active material deposited over the template. The template may serve as a mechanical support for the active material and/or an electrical conductor between the active material and, for example, a substrate. Due to the high surface area of the template, even a thin layer of the active material can provide sufficient active material loading and corresponding battery capacity. As such, a thickness of the layer may be maintained below the fracture threshold of the active material used and preserve its structural integrity during battery cycling.

Abstract: A medium- and/or large-format (M/L), rechargeable battery pack used for powering attached equipment may include features to protect the battery pack from external fire. For example, the features may protect the battery pack due to exposure to fire from outside of the end device, e.g., a vehicle, due to a fuel spill. According to another aspect of the embodiments, the M/L rechargeable battery pack may include a high current terminal/power connector for the battery pack. The embodiment optimizes the battery pack output power connector assembly, improves and solves poor connection designs that can cause fire hazards from sparks, and provides water ingress protection.

Abstract: A non-transitory computer readable medium is described. The non-transitory computer readable medium has computer executable instructions that when executed cause a processor to: determine a diabetic retinopathy prediction based at least in part on a weighted sum of at least five patient predictors in a database storing at least one patient record having first data; and pass an alert to a user responsive to the diabetic retinopathy prediction being within a predetermined range.

Abstract: Monoclonal antibodies that bind and inhibit the activity of human GDF15 are disclosed. The antibodies can be used to treat body weight loss, including cachexia, associated with the over-expression of human GDF15.

Abstract: Methods, systems, and computer readable media are disclosed for providing a maintenance recommendation for a catalyst based on a trained machine learning model. The method includes: extract training data comprising one or more parameters from each catalyst of a plurality of catalysts: classify the training data in accordance with at least one catalyst feature at least one of the contaminations of the catalyst: determine a feature vector from the classified training data based on the one or more parameters extracted from catalyst of the plurality of catalysts, generate a performance baseline curve from the training data in accordance with the destruction removal efficiency (DRE) of a gas; and provide based on the trained machine learning model a maintenance recommendation for the catalyst.

Abstract: Degradation of the reflectivity of one or more reflective optical elements in a system for generating EUV radiation is reduced by the controlled introduction of a gas into a vacuum chamber containing the optical element. The gas may be added to the flow of another gas such as hydrogen or alternated with the introduction of hydrogen radicals.

Abstract: A semiconductor-on-insulator die can include a power amplifier configured to amplify a radio frequency input signal having a fundamental frequency. The die can further include an output matching circuit including first and second second-order harmonic rejection circuits configured to resonate at about two times the fundamental frequency and a third order harmonic rejection circuit configured to resonate at about three times the fundamental frequency.

Abstract: An IoT/M2M service layer may be provided with the capability to protect user privacy. This functionality may allow the IoT/M2M service layer to anonymize user data, particularly when user data is shared with third party consumers. A privacy policy service may enable the IoT service layer system to generate anonymization (e.g., privacy) policies based on inputs such as legal obligations, subscriber privacy preferences, and an authorization level of the data consumer. Data anonymization policies may be output from the privacy policy service and may be sent to a data anonymization service, where raw data may be anonymized based on the one or more data anonymization policies. The output from the data anonymization service function may be a privatized (e.g., anonymized) version of data that may prevent the data consumer from discovering one or more identifying characteristics of a user.

Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

Abstract: Systems, methods and power converters are disclosed to provide regulated individual DC output signals to anode structures using a PWM inverter to generate a first AC signal, a sinewave filter to provide a filtered AC signal, a multiphase isolation transformer to provide a plurality of isolated AC signals, a multi-pulse diode bridge rectifier to provide a DC rectifier output signal, an output filter to provide a filtered DC rectifier output signal, and a blocking diode to provide the filtered DC rectifier output signal.

Abstract: A humidification system can include a heater base, a humidification chamber, and a breathing circuit. A cartridge can be removably coupled to the heater base. The cartridge can include various sensors, probes, sensor wire connectors, heater wire connectors, and/or other features. The cartridge can include features configured to mate with corresponding features on the humidification chamber and the heater base. The cartridge includes a memory, such as an EEPROM, or other suitable storage device. When the cartridge is installed on the heater base, the memory is electrically connected to a processor and/or memory of the heater base. Various models of cartridges can be produced for use with different humidification chambers, breathing circuits, and/or therapies. A connector can be configured to couple an inspiratory conduit to an outlet port of the humidification chamber. The connector can provide a pneumatic connection to the outlet port and an electrical connection to the cartridge.

Abstract: Provided are FRET-based biosensor constructs, and multiplexed platforms or arrays of these biosensor constructs useful for screening candidate drug molecules for efficacy and/or specificity of drug activity. Optionally the biosensor constructs may be located on an inner membrane within a cell or engineered to be located on the cell's surface. The cells or cell lines displaying the biosensors on a cell surface may be arranged as an array of cells for high throughput evaluation of the efficacy and/or specificity of drug candidates, such as a library of candidate drug compounds.

Abstract: In accordance with various embodiments of the present disclosure, a first instance of a data intake and query system (DIQS) may receive latency data that indicates latency states of second instances of the DIQS, the latency states indicative of latencies associated with processing of event data by the plurality of second instances. The first instance may then determine overall latency state of the first instance based, at least in part, on determining number or percentage of the first instance and the second instances of the DIQS having one or more particular latency states, and determining whether the number or percentage of the first instance and the f second instances of the DIQS having the one or more particular latency states is equal to or exceeds a threshold. The first instance may then present the overall latency state of the first instance.

Abstract: Methods, systems, and apparatuses that enable a Service Layer (SL) to support analysis of internet of things (IoT) data and enable shared access to information generated by the analysis. An analytics management service may allow SL entities to configure analytics functions for many different IoT sources of data and organize the results in a customizable manner. The SL may support coordinating the analysis of IoT data from multiple independent sources and organizing the results of the analysis.

Abstract: Embodiments of the present disclosure provide a method for identifying those entities within a network that have the most influence on other entities within the network. A multi-relational network comprising links among a plurality of physicians is generated based on peer network data, wherein each link indicates a first physician that influences a second physician, and a weight of the influence. A decision by a treating physician of the plurality of physicians is decomposed, using a deep learning engine, into a magnitude of peer influence and a magnitude of control factor influence based on the multi-relational network and a plurality of control factors respectively. The magnitude of peer influence among one or more physicians in the multi-relational network is distributed among physicians in the multi-relational network based on the links each physician maintains with other physicians.

Abstract: The technologies described herein are generally directed to configuring carrier aggregation zones based on transmission information in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include identifying, by carrier aggregation equipment including a processor, carrier transmission information corresponding to a first carrier signal and a second carrier signal. The method can further include analyzing, by the carrier aggregation equipment, the carrier transmission information to determine first overlap zone information representative of a first carrier overlap zone for the first carrier signal and the second carrier signal. Further, based on the first overlap zone information, the method includes facilitating configuring transmission parameter information representative of a transmission parameter applicable to transmission of the first carrier signal, to enable carrier aggregation by network equipment within the first carrier overlap zone.

Abstract: Embodiments relate to the implementation of configurable rules that automatically monitor large volumes of data stored in a database. Certain embodiments may leverage the high processing power available to the database engine of an in memory database, in order to perform analysis of large data volumes for compliance and other purposes. Particular embodiments may utilize ABAP Database Connectivity (ADBC) to a HANA in memory database available from SAP AG, in order to implement and execute configurable rules in connection with governance, risk, and compliance (GRC) of large volumes of data stored therein. In various embodiments, an analysis engine in the application layer may rely upon the in memory database engine to execute at least some logic of the configurable rules.