Abstract: Apparatus and methods for controlling correlated color temperature (CCT) and lighting intensity in lighting fixtures are described. The CCT and intensity may be controlled independently over conventional AC wiring using a conventional dimmer. A lighting controller that resembles a conventional dimmer and that can be installed in place of a dimmer may be used instead of a conventional dimmer to access more control functionalities, still using conventional AC wiring. Wireless communication with the lighting fixture and/or lighting controller are possible.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to predict data in privacy preserving manners are described. In one aspect, a method includes receiving, from a client device of a user, a digital component request including one or more contextual signals that describe an environment in which a selected digital component will be presented. The contextual signals are provided as input to a trained machine learning model that is trained to output, based on input contextual signals, predicted data about the user. The trained machine learning model is trained using a set of aggregated data including, for each of a set of aggregation keys, aggregated data for a plurality of users having electronic resource views that match the aggregation key. The predicted data about the user is received as an output of the trained machine learning model.

Abstract: A variety of medical procedures utilize two or more medical device components, including medical device components where a first medical device component is advanced within a second medical component. An example would be an elongate dilator used in combination with a guide catheter. The guide catheter and the elongate dilator may be adapted to provide a rotational lock mechanism that allows the guide catheter and the elongate dilator to lock together such that rotating one of the components causes rotation of both components. In some instances, the guide catheter and the elongate dilator may cooperate to also provide a relative axial lock between the two components.

Abstract: A method comprises reading data of one or more files and identifying one or more data types corresponding to the one or more files. In the method, at least one destination database for the data is recommended based at least in part on the one or more data types. A data model to use in connection with writing the data to the at least one destination database is generated. The generation of the data model is based at least in part on the one or more data types corresponding to the one or more files. At least the generation of the data model is performed using one or more machine learning algorithms.

Abstract: A method of and system for providing accessibility for digital ink is carried out by detecting digital ink input on a user interface (UI) screen, the digital ink input being received via a writing instrument used by a user within a given time period; capturing an image of the digital ink input; examining the image of the digital ink input to detect tremors in the user; assigning a level to the tremors based on discontinuities or irregularities in the digital ink input within the given time period; determining based on the level that the digital ink input requires correction; and applying a correction to the digital ink input to correct the digital ink input.

Abstract: An armrest for a vehicle seat, comprising an armrest main portion, a pivotable attachment for coupling the armrest main portion to a seat backrest, such that the armrest is pivotable between a folded position and a rest position, an armrest extension movable between a retracted position and a deployed position in which the armrest extension extends the armrest main portion, and a foldable mechanism coupling the pivotable attachment to the armrest extension and configured to move the armrest extension from the retracted position to the deployed position when the armrest is moved from the folded position to the rest position.

Abstract: A method of virtually inspecting a quality of a product in a production environment includes receiving production information associated with the product, wherein the information is indicative of an operation performed on the product in relation to a first process of the production environment. The method further includes: determining a label for the product using a first classifier model based on the received information associated with the product; comparing the determined label against inspection data associated with an inspection of the product; and storing the production information and the inspection data associated with the product in an extension buffer, based on the comparison of the determined label and the inspection data, for retraining the first classifier model. The above method allows for storing new fault category information that is then dynamically used to retrain the model. Accordingly, this allows for retraining of classifier models without human intervention.

Abstract: Methods, apparatus, and processor-readable storage media for request processing techniques for container-based architectures are provided herein. An example method includes obtaining one or more threshold values for each of a plurality of nodes in at least one cluster of a container-based computing environment, wherein the one or more threshold values are configured for one or more corresponding resource types; obtaining resource consumption data for each of the plurality of nodes; determining, based at least in part on the one or more obtained threshold values and the obtained resource consumption data, a set of available nodes from among the plurality of nodes for processing incoming requests to the container-based computing environment; and initiating a routing of the incoming requests to one or more nodes in the set of available nodes.

Abstract: A technique enables recovery of failover data used to generate one or more High Frequency Snapshots (HFSs) at a source and replicated to a target for storage and recovery. The target is illustratively an intermediary repository embodied as a long-term storage service (LTSS) configured to organize and store the HFSs as recovery points (RPs) in an object store. The LTSS stores a HFS identifier (ID), a logical offset in an object of the object store storing data of the HFS, and a logical timestamp associated with each replicated HFS as a key of a segment descriptor in a key-value database configured to store metadata describing the failover data of the HFS stored as one or more objects in the object store. Upon recovery of the failover data, the technique enables identification of the HFS stored in the object store and creation of a HFS index metadata structure (B+ tree) to extract the identified HFS as a RP.

Abstract: A data collection apparatus (10) and a computer-implemented data collection method (50) using the same are provided. The data collection apparatus (10) includes a first linear stage (12) and a second linear stage (14). A sample carriage (16) is attached to the first linear stage (12), the first linear stage (12) being operable to move the sample carriage (16) along a first axis. A probe carriage (18) is attached to the second linear stage (14), the second linear stage (14) being operable to move the probe carriage (18) along a second axis. A third linear stage (20) is attached to the probe carriage (18). In use, the third linear stage (20) is operable to receive a detachable characterisation probe (22) and to move the characterisation probe (22) along a third axis. A camera (24) is attached to the probe carriage (18). In use, the camera (24) is configured to capture an image of one or more samples on the sample carriage (16).

Abstract: Methods and systems are disclosed to enable users to analyze failure modes of computer vision machine learning models using error featurization. In one embodiment, an image classification model is expressed in a scatter plot of prediction errors over a labeled dataset. A user interface allows practitioners to identify patterns in data that cause the model to fail and supports high precision analysis of critical failure modes of trained machine learning (ML) models. The embodiment helps ML practitioners improve their curation, labeling, and training processes. The embodiments allow ML practitioners to choose the most relevant data for subsequent improvement of an ML model. The highly targeted data curation leads to a multifold reduction in costs and time for labeling and training data.

Abstract: A user equipment (UE) in a wireless communication system is provided. The UE includes a transceiver, memory storing one or more computer programs, and one or more processors communicatively coupled to the transceiver and the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors, cause the UE to receive, from a base station, a system information block (SIB) including a first indication on whether a transmission of a second indication is allowed, identify that a UE capability is restricted for a multi-universal subscriber identity module (MUSIM), and transmit, to the base station, a radio resource control (RRC) message including the second indication indicating a UE temporary capability restriction due to the MUSIM operation.

Abstract: An example first playback device includes programming to perform functions including receiving a first request to associate with a first playback queue that is stored remotely from, and persists unassociated with, any playback device of the media playback system. The functions also include associating with the first playback queue and designating the first playback queue as an active queue of the first playback device. The functions also include receiving a second request to enter into a group with a second playback device that is associated with a second playback queue, entering into the group with the second playback device, associating with the second playback queue, and designating the second playback queue as the active queue of the first playback device. The functions also include receiving a third request to leave the group, and after receiving the third request, de-designating the second playback queue as its active queue.

Abstract: One or more engine instances are executed on each host to form an engine cluster. A plurality of control instances are executed on a first set of hosts to form a control cluster and comprise a control instance leader and one or more control instance followers. In response to a first host indicating a failure of a neighbor host, a pair-wise focused investigation is initiated to check peer-to-peer connections between the first host and the neighbor host. In response to one or more additional hosts indicating failures of neighbor hosts while the pair-wise focused investigation is being performed, a wide investigation is performed to check connections between the control cluster and the plurality of hosts. One or more hosts are added to an eviction list and an eviction protocol is performed to evict the one or more hosts from the engine cluster using the eviction list.

Abstract: Methods and systems are provided for promoting collision threat awareness for a mobile platform. The system comprises a searchlight to emit a beam of light and means for articulating the searchlight, a sensor system to sense a location, elevation, and orientation of the mobile platform and/or locations and elevations of obstacles including terrain and manmade objects, a source of data including the locations and elevations of the obstacles, and a controller configured to, by a processor: identify a first obstacle that poses a collision threat to the mobile platform based on the location, elevation, and/or orientation of the mobile platform and the location and elevation of the first obstacle, and operate the searchlight assembly to: automatically direct the beam of light toward the first obstacle, and/or automatically direct the beam of light toward an escape route that allows the mobile platform to avoid collision with the first obstacle.

Abstract: The present invention relates to treating malignancies such as tumors or cancers by orally administering lyophilized compositions comprising arsenic to a subject in such need. Malignancies include various hematological malignancies, such as acute myeloid leukemia (AML) including acute promyelocytic leukemia (APL), myelodysplastic syndrome (MDS), multiple myeloma (MM) and lymphomas and solid tumors including glioblastoma multiforme and breast cancer. This invention relates to a novel formulation comprising a lyophilized compositions comprising arsenic. The present invention also relates to a method for lyophilizing the arsenic trioxide, preparing the oral formulation comprising lyophilized compositions comprising arsenic, and a method for treating a subject with malignancies using the oral formulation.

Abstract: The present invention relates a novel process for preparing compounds of formula (I) or salts or N-oxides thereof, wherein, Ra, Rb, R1, R2, R3, R4 and n are as defined in the description. The process for preparing a compound of formula (I) comprises step of: reacting a compound of formula (IV) with substituted anthranilic acid of formula (III) and suitable amine of formula (RaRbNH) or with substituted anthranilic amide of formula (IIIa), optionally isolating compound of formula (II). Further, the present invention also describes the preparation of compound of formula (IV) which is obtained from compound of formula (VIII).

Abstract: Provided herein are methods for next generation sequencing a target using universal adapter technologies and identifying and reducing error by distinguishing the signals from sequencing the target based on the location on the flow cell of the signals from sequencing the sample identifying region(s) of the adapters.

Abstract: Embodiments described herein relate to magnetic and electromagnetic systems and a method for controlling the density profile of plasma generated in a process volume of a PECVD chamber to affect deposition profile of a film on a substrate and/or facilitate chamber cleaning after processing. In one embodiment, a system is disclosed that includes a rotational magnetic housing disposed about an exterior sidewall of a chamber. The rotational magnetic housing includes a plurality of magnets coupled to a sleeve that are configured to travel in a circular path when the rotational magnetic housing is rotated around the chamber, and a plurality of shunt doors movably disposed between the chamber and the sleeve, wherein each of the shunt doors are configured to move relative to the magnets.

Abstract: A computer-implemented method is provided. Historical data associated with operation of a plurality of computing entities is received. Inventory information is tracked based on the historical data, including discovering when new computing entities are added to the plurality of computing entities. Transaction information is tracked based on the historical data. Transaction information comprises information associated with transactions of the plurality of computing entities and with a volume of transactions. Cost information associated with the transactions of each computing entity, is tracked. Utilization information, comprising information relating to utilization of an infrastructure of each respective computing entity, is also tracked. A database is built comprising at least one of inventory, transaction, and cost information. An output is generated providing a report of information on one or more computing entities in the plurality of computing entities.