Abstract: The invention relates to methods for memorizing words in a foreign language. A method provides for the rendition of a foreign song and the synchronous presentation of textual subtitles on a display. The subtitles are produced on the display in the form of blocks placed one underneath another, each of which comprises a fragment of the text of the song and consists of three separate lines: a line containing the text of the song in the foreign language, a line containing the text of a translation into a native language, and a line containing the phonetic transcription of the words of the foreign song in the alphabetic characters of the native language, said line being the middle line in the block. The block is split into columns, each of which includes one word or phrase of the text fragment for the line containing the text of the song in the foreign language.

Abstract: Provided herein, in some embodiments, are engineered cells and use of the same for increased hydrogen production. In particular, provided herein are genetically engineered cells comprising a polynucleotide encoding a fusion protein comprising a photosystem I (PSI) protein and a bacterial hydrogenase, as well as methods for producing such genetically engineered cells. Also provided herein are methods for increasing hydrogen (H2) production in cells.

Abstract: In a fifth-generation (5G) new radio (NR) network, a generation node B (gNB) determines parameters for a Network Controlled Small Gap (NCSG) to reduce and/or eliminate interruptions at a user equipment (UE) for use when the UE is transitioning to a new target frequency for measurements or when the UE is switching or transiting between bandwidth parts (BWPs). The NCSG may be configured to align with one or more fundamental parameters of a legacy measurement gap (MG) pattern to reduce the interruptions.

Abstract: Files uploaded to a cloud storage medium are considered. The files may include a mixture of files known to be malicious and known to be benign. The files are clustered using similarity of file features, e.g., based on distance in a feature space. File clusters may then be used to determine a threat status of an unknown file (a file whose threat status is unknown initially). A feature of the unknown file in the feature space is determined, and a distance in the feature space between the file and a file cluster is calculated. The distance between the unknown file and the file cluster is used to determine whether or not to perform a deep scan on the unknown file. If such a need is identified, and the deep scan indicates the unknown file is malicious, a cybersecurity action is triggered.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Abstract: A voice support server is used to provide voice control functionality to a third party application that does not natively support voice control functions. The voice support server implements a domain specific to the third party application that maintains a domain-specific language model (DLM) reflecting the functionality of the third party application. The DLM comprises a plurality of intent patterns corresponding to different commands and their possible variations that may be issued by the user, and maps each intent pattern to a corresponding action to be performed by the third party application. Received audio data is analyzed to determine one or more user utterances, which are transcribed and compared to the intent patterns of the DLM to identify an intent corresponding to the user utterance. The voice control module may then transmit instructions to the third party application to perform the action corresponding to the identified intent.

Abstract: A method performed by a programmed processor of an audio system, the method includes receiving a sound track that has a track length, producing a binaural audio version of a sound track, the binaural audio version having an extended track length performing a fading operation upon the binaural audio version to gradually reduce a signal level of the binaural audio version to below a signal threshold level at a time along the extended track length that corresponds to an end time of the track length of the sound track; and storing the binaural audio version having the track length of the sound track in memory for later transmission to an audio playback device for driving one or more speakers.

Abstract: Unauthorized use of user credentials in a network is detected. Data indicative of text strings being used to access resources in the network is accessed. Regex models are determined for the text strings. Troupings of the regex models are determined based on an optimization of a cumulative weighted function. A regex model having a cumulative weighted function that exceeds a predetermined threshold is identified. An alert is generated when the cumulative weighted function for the identified regex model exceeds the predetermined threshold.

Abstract: Examples described herein relate to an offload processor to receive data for transmission using a network interface or received in a packet by a network interface. In some examples, the offload processor can include a packet storage controller to determine whether to store data in a buffer of the offload processing device or a system memory after processing by the offload processing device. In some examples, determine whether to store data in a buffer of the offload processor or a system memory is based on one or more of: available buffer space, latency limit associated with the data, priority associated with the data, or available bandwidth through an interface between the buffer and the system memory. In some examples, the offload processor is to receive a descriptor and specify a storage location of data in the descriptor, wherein the storage location is within the buffer or the system memory.

Abstract: A medical system may include an elongated flexible body including a channel extending through the elongated flexible body. The elongated flexible body includes an articulable portion extending along at least a portion of a length of the elongated flexible body. The medical system may include an instrument configured to be received in the channel of the elongated flexible body, a magnetic field generator configured to generate a magnetic field within the channel, and a magnetic field sensor configured to detect the magnetic field generated by the magnetic field generator.

Abstract: Digital anti-jam apparatus includes a CPU; N spectrum analysis and band rejection (SABR) modules, each receiving a digital quadrature signal input, outputting a spectral data output, and outputting a quadrature output with interference band rejected; the CPU first places the SABR modules into a spectral analysis (SA) mode, and upon detection of interference, places the SABR modules into a band rejection (BR) mode while the interference continues; N N-to-1 multiplexers, whose quadrature outputs are connected to corresponding SABR modules, wherein the CPU controls whether to connect an input of each multiplexer either to the quadrature signal input or to the quadrature band-reject output of any other SABR module; a (N+1)-to-1 multiplexer, connected to the quadrature signal input or to the quadrature output of any SABR module; and a frequency conversion module, that receives output of the (N+1)-to-1 multiplexer and shifts a spectrum of the digital quadrature signal input.

Abstract: A system and method are suitable for product placement. The system having a user device including a touch-sensitive screen, a camera for capturing video, and a wireless telecommunication module. The mobile device configured present to the user, via the touch-sensitive screen, a live video feed of the view of the camera, receive from the user, input selections to initiate a video search based on the view of the camera, send a video search query to a server that is based on images captured by the camera, receive a response to the video search query from the server and display items appropriate to the view of the camera.

Abstract: It is described a computer implemented method for generating a personalized sound signal transfer function, the method comprising: determining first data, wherein the first data represents a first sound signal transfer function, wherein the first sound signal transfer function is associated with a user's ear and with a first sound signal direction relative to the user's ear; determining, based on the first data, second data, wherein the second data represents a second sound signal transfer function, wherein the second sound signal transfer function is associated with the user's ear and with a second sound signal direction relative to the user's ear.

Abstract: A computing device includes an appliance status table to store at least one of reliability and performance data for one or more network functions virtualization (NFV) appliances and one or more legacy network appliances. The computing device includes a load controller to configure an Internet Protocol (IP) filter rule to select a packet for which processing of the packet is to be migrated from a selected one of the one or more legacy network appliances to a selected one of the one or more NFV appliances, and to update the appliance status table with received at least one of reliability and performance data for the one or more legacy network appliances and the one or more NFV appliances. The computing device includes a packet distributor to receive the packet, to select one of the one or more NFV appliances based at least in part on the appliance status table, and to send the packet to the selected NFV appliance. Other embodiments are described herein.

Abstract: There is described a computer implemented method for generating a personalized sound signal transfer function, the method comprising: receiving, by a sound receiving means, a sound signal at or in a user's ear; determining, based on the received sound signal, first data, wherein the first data represents a first sound signal transfer function associated with the user's ear; determining, based on the first data, second data, wherein the second data represents a second sound signal transfer function associated with the user's ear.

Abstract: Disclosed herein are systems and methods for detecting anomalies in a cyber-physical system. In one aspect, an exemplary method comprises, for a list of parameters of the CPS, collecting data containing values of the parameters of the CPS, generating at least two subsets of parameters of the CPS from the collected data, selecting at least two anomaly detectors from a list of anomaly detectors and selecting at least one corresponding subset of the parameters of the CPS for each selected anomaly detector, pre-processing each subset of the parameters of the CPS and transmitting an output of the pre-processing to the corresponding anomaly detector, for each pre-processed subset, detecting anomalies in the data using the corresponding respective anomaly detector, and detecting a combined anomaly in the CPS by combining and processing results obtained from the selected at least two anomaly detectors.

Abstract: Computer-implemented method for determining a personalized head-related transfer function, the method comprising: receiving a training dataset comprising one or more training images of ears of one or more first users, a training input vector indicative of one or more first directions relative to the first user's head, and one or more values of the personalized head-related directional function related to the first users and the first directions; training an artificial neural network on the training dataset; receiving an inference dataset comprising an inference image of a second user's ear or a pair of inference images of the second user's ears, and an inference input vector indicative of a second direction relative to the second user's head; and processing the inference dataset by the artificial neural network to predict one or more personalized values of the directional function, the values related to the second user and the second direction.

Abstract: Methods of representing user edits or modifications of a treatment plan for a dental apparatus (e.g., one or a series of aligners) by managing an original clinical data set and a set of modifications of the clinical data set. Also described herein are methods of displaying, condensing, storing and reconstructing collision regions between two or more teeth.

Abstract: Disclosed herein are systems and method for spam identification. A spam filter module may receive an email at a client device and may determine a signature of the email. The spam filter module may compare the determined signature with a plurality of spam signatures stored in a database. In response to determining that no match exists between the determined signature and the plurality of spam signatures, the spam filter module may placing the email in quarantine. A spam classifier module may extract header information of the email and determine a degree of similarity between known spam emails and the email. In response to determining that the degree of similarity exceeds a threshold, the spam filter module may transfer the email from the quarantine to a spam repository.

Abstract: Methods, systems, and devices for managing software agent health are described. A software platform may output multiple requests to one or more software agents. Each request may be associated with operation of a respective software agent. The software platform may obtain statistics for each software agent in response to the multiple requests. The statistics may corresponds to a respective performance of each software agent of the one or more software agents. The software platform may output a recommendation for each software agent, of the one or more software agents, based on the statistics and one or more rules configured at the software platform.