Abstract: An asymmetric UV exposure method, and a metal mesh sensor manufactured using the same are described. The method includes applying a UV-curable coating #1 on one side of an optically transparent substrate; applying a UV-curable coating #2 on the other side of the optically transparent substrate; and exposing both sides of the optically transparent substrate to UV light simultaneously. The UV-curable coating #1 and the UV-curable coating #2 have UV absorption peaks at different wavelengths. The method not only allows a greater choice of optically transparent substrates for manufacturing metal mesh touch sensors, but also enables better flexibility and improved optical properties.

Abstract: Methods of sequencing molecules based on luminescence lifetimes and/or intensities are provided. In some aspects, methods of sequencing nucleic acids involve determining the luminescence lifetimes, and optionally luminescence intensities, of a series of luminescently labeled nucleotides incorporated during a nucleic acid sequencing reaction.

Abstract: Compositions useful for the detection of single molecules in a sample are provided. In some aspects, the disclosure provides a nucleotide connected to a nucleic acid comprising a FRET label comprising at least three luminescent molecules. In some embodiments, the nucleic acids described herein comprise one or more structural features that provide enhanced fluorescence intensity. In some aspects, methods of sequencing using the labeled nucleotides of the disclosure are provided.

Abstract: Various aspects involve a monotonic recurrent neural network (MRNN) trained for risk assessment or other purposes. For instance, the MRNN is trained to compute a risk indicator from a predictor variable. Training the MRNN includes adjusting weights of nodes of the MRNN subject to a set of monotonicity constraints, wherein the set of monotonicity constraints causes output risk indicators computed by the RNN to be a monotonic function of input predictor variables. The trained monotonic RNN can be used to generate an output risk indicator for a target entity.

Abstract: Techniques are described for automating the design of dental restoration appliances using neural networks. An example computing device receives transform information associated with a current dental anatomy of a dental restoration patient, provides the transform information associated with the current dental anatomy of the dental restoration patient as input to a neural network trained with transform information indicating placement of a dental appliance component with respect to one or more teeth of corresponding dental anatomies, the dental appliance being used for dental restoration treatment for the one or more teeth, and executes the neural network using the input to produce placement information for the dental appliance component with respect to the current dental anatomy of the dental restoration patient.

Abstract: The present disclosure is generally directed to a solid source precursor delivery system. More specifically, the present disclosure is directed to a solid source precursor vessel that can be utilized to vaporize a supply of solid precursor stored within the vessel. The disclosed source vessel utilizes a plurality of individual cavities or pockets within the interior of the vessel. Each individual pocket may be loaded with precursor. In an arrangement, the pockets may be loaded with pre-formed blocks of compressed precursor material that typically have a higher density than was previously achieved when packing solid precursor within a source vessel. The increased density of the solid precursor material increases a capacity of the source vessel resulting in longer intervals between replacement and/or refilling the source vessel.

Abstract: A voltage regulator circuit included in a computer system may include multiple phase circuits coupled to a regulated power supply line via corresponding one of multiple inductors. The phase circuits may modify a voltage level of the regulated power supply line using respective control signals generated by a digital control circuit that processes multiple data bits. An analog-to-digital converter circuit may compare the voltage level of the regulated power supply node to multiple reference voltage levels and sample the resultant comparisons to generate the multiple data bits.

Abstract: Disclosed herein are peptides with antimicrobial, antiviral, antifungal or antitumor activity when administered to a subject. Also disclosed herein are methods that can be used for treating or preventing a condition or disease in a human subject in need thereof comprising intravenously administering a pharmaceutical composition to said human subject over an extended period of time.

Abstract: A method performed by an electronic device in a room. The method performs an enrollment process in which a spatial profile of a location of an artificial sound source is created and performs an identification process that determines whether a sound event within the room is produced by the artificial sound source by 1) capturing the sound event using a microphone array and 2) determining a likelihood that the sound event occurred at the location of the artificial sound source.

Abstract: Provided are methods and compositions, including assays, probes and primers for identifying Brassica plants that are resistant to clubroot disease. Also provided are breeding methods for introducing a clubroot resistance phenotype into Brassica plants and/or their progeny.

Abstract: A multi-phase regulator circuit includes one or more switching converter circuits. Each switching converter circuit includes a transformer including a primary winding and a multi-segment secondary winding, a primary side switch circuit configured to connect the primary winding to an input of the multi-phase regulator circuit, and multiple secondary side circuits including multiple coupled-inductor circuits. Each coupled-inductor circuit includes a first winding magnetically coupled to a second winding. Each segment of the transformer multi-segment secondary winding is operatively coupled to the first winding of a coupled-inductor circuit and each of the first windings is connected to an output of the multi-phase regulator circuit.

Abstract: The present disclosure describes a system with a power management device, a wakeup circuit, a battery management device, and a connector. During a powered down mode of operation, the battery management device can provide, via the connector, a bias voltage to the wakeup circuit. In response to a wakeup switch being activated, the battery management device can provide a power supply (e.g., from a battery) to the power management device. Benefits of the wakeup circuit include (1) a reduction of battery consumption—and thus improving battery lifetime—when the electronic system is in a powered down mode of operation because the wakeup circuit has lower number of active components compared to other designs and (2) a non-complex wakeup circuit design because one or more existing connector interconnects between the power management device and the battery management device can be re-used during electronic system's powered down mode of operation.

Abstract: Compositions useful for the detection of single molecules in a sample are provided. In some aspects, the disclosure provides a nucleic acid connected to a nucleotide and two or more luminescent labels. In some embodiments, the nucleic acids described herein comprise one or more structural features that provide enhanced fluorescence intensity. In some aspects, methods of sequencing using the labeled nucleotides of the disclosure are provided.

Abstract: Implementations of the subject technology provide systems and methods for providing audio source separation for audio input, such as for audio devices having limited power and/or computing resources. The subject technology may allow an audio device to leverage processing and/or power resources of a companion device that is communicatively coupled to the audio device. The companion device may identify a noise condition of the audio device, select a source separation model based on the noise condition, and provide the source separation model to the audio device. In this way, the audio device can provide audio source separation functionality using a relatively small footprint source separation model that is specific to the noise condition in which the audio device is operated.

Abstract: A method performed by an electronic device in a room. The method performs an enrollment process in which a spatial profile of a location of an artificial sound source is created and performs an identification process that determines whether a sound event within the room is produced by the artificial sound source by 1) capturing the sound event using a microphone array and 2) determining a likelihood that the sound event occurred at the location of the artificial sound source.

Abstract: Methods, apparatus, systems, and articles of manufacture to detect the location of sound sources external to computing devices are disclosed. An apparatus, to determine a direction of a source of a sound relative to a computing device, includes a cross-correlation analyzer to generate a vector of values corresponding to a cross-correlation of first and second audio signals corresponding to the sound. The first audio signal is received from a first microphone of the computing device. The second audio signal is received from a second microphone of the computing device. The apparatus also includes a location analyzer to use a machine learning model and a set of the values of the vector to determine the direction of the source of the sound.

Abstract: A method includes receiving video data that includes a series of frames of image data. Here, the video data is representative of an actor performing an activity. The method also includes processing the video data to generate a spatial input stream including a series of spatial images representative of spatial features of the actor performing the activity, a temporal input stream representative of motion of the actor performing the activity, and a pose input stream including a series of images representative of a pose of the actor performing the activity. Using at least one neural network, the method also includes processing the temporal input stream, the spatial input stream, and the pose input stream. The method also includes classifying, by the at least one neural network, the activity based on the temporal input stream, the spatial input stream, and the pose input stream.

Abstract: The subject disclosure provides systems and methods for generating and storing learned embeddings of audio inputs to an electronic device. The electronic device may generate and store encoded versions of audio inputs and learned embeddings of the audio inputs. When a new audio input is obtained, the electronic device can generate an encoded version of the new audio input, compare the encoded version of the new audio input to the stored encoded versions of prior audio inputs, and if the encoded version of the new audio input matches one of the stored encoded versions of the prior audio inputs, the electronic device can provide a stored learned embedding that corresponds to the one of the stored encoded versions of the prior audio inputs to a detection model at the electronic device. The cached embeddings can be provided to locally trained models for detecting individual sounds using electronic devices.

Abstract: Implementations of the subject technology provide systems and methods for providing audio source separation for audio input, such as for audio devices having limited power and/or computing resources. The subject technology may allow an audio device to leverage processing and/or power resources of a companion device that is communicatively coupled to the audio device. The companion device may identify a noise condition of the audio device, select a source separation model based on the noise condition, and provide the source separation model to the audio device. In this way, the audio device can provide audio source separation functionality using a relatively small footprint source separation model that is specific to the noise condition in which the audio device is operated.

Abstract: A method includes receiving video data that includes a series of frames of image data. Here, the video data is representative of an actor performing an activity. The method also includes processing the video data to generate a spatial input stream including a series of spatial images representative of spatial features of the actor performing the activity, a temporal input stream representative of motion of the actor performing the activity, and a pose input stream including a series of images representative of a pose of the actor performing the activity. Using at least one neural network, the method also includes processing the temporal input stream, the spatial input stream, and the pose input stream. The method also includes classifying, by the at least one neural network, the activity based on the temporal input stream, the spatial input stream, and the pose input stream.