Abstract: An electrochemical cell unit and stack includes a separator plate overlying a cell layer. The separator plate has a selectively shaped three-dimensional region that overlies at least part of an electrochemically active cell region. In that three-dimensional region the separator plate has been deformed into a first plurality of outwardly extending dimpled protrusions that define the height of a first fluid volume on a first side of the separator plate, and a second plurality of outwardly extending dimpled protrusions that define the height of a second fluid volume on a second side of the separator plate. A mid-plane region is disposed between the protrusions and the mid-plane region is so shaped as selectively to vary its height in at least one direction across the active cell region such that the interrelated respective heights of the first and second fluid volumes are correspondingly increased and decreased as a result.

Abstract: Provided are methods for treatment of neurodevelopmental disorders, such as Angelman Syndrome and autism comprising administering to an individual a composition comprising an agonist ligand of IGF-2 receptor. The agonist ligand of IGF-2 receptor may be IGF-2, or mannose-6-phosphate or a derivative thereof. Compositions comprising mannose-6-phosphate derivatives are also disclosed.

Abstract: Training data comprising a plurality of training pairs is obtained. Each training pair comprises instrumental audio data and vocal audio data separated from audio data of a musical work of a respective plurality of musical works. For one or more training pairs of the plurality of training pairs, the vocal audio data is processed with machine-learned model(s) of a machine-learned generative audio model grouping to obtain a vocal intermediate representation for the vocal audio data. The instrumental audio data is processed with a pre-trained encoding model to obtain an instrumental intermediate representation for the instrumental audio data. A loss function is evaluated that evaluates a difference between the vocal intermediate representation and the instrumental intermediate representation. Values of parameters of a machine-learned model of the machine-learned generative audio model grouping are modified based on the loss function.

Abstract: Systems and methods for searching using machine-learned model-generated outputs can provide a user with a medium for generating a theoretical dataset that can then be matched to a real world example. The systems and methods can include selecting a plurality of terms, which can be utilized to generate a prompt input that can be processed by a dataset generation model to generate a plurality of model-generated datasets. A selection can then be received that selects a particular model-generated database to utilize to query a database.

Abstract: A method of decoding a coding unit in an image frame from a bitstream by determining a size of the coding unit from the bitstream; and dividing the image frame into a plurality of equally sized processing regions, each of the equally sized processing regions being smaller than a largest available coding unit size. The method also comprises selecting a motion vector corresponding to the coding unit from a list of candidate motion vectors, selecting the motion vector comprising (i) decoding a merge index if the coding unit is greater than or equal to a size than one of the determined processing regions, or (ii) decoding a skip flag to decode that the merge index if the coding unit is not greater than or equal to the size than one of the determined processing regions; and decoding the coding unit according to the selected motion vector for the coding unit.

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generated synthetic data may be checked for similarity against the training data, and if similarity conditions are met, it may be modified (e.g., resampled), removed, and/or replaced.

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generation of synthetic data may be conditioned on values of features, preserved features, such as unique identifiers, previous-in-time features, and using the other techniques discussed herein.

Abstract: A docking station operable in a plurality of modes is disclosed. An example method includes obtaining first data via a first interface of the docking station configured to couple the docking station to a computing device and second data via a second interface of the docking station configured to communicate with a network, responsive to operating in a first mode, obtaining third data via the second interface of the docking station, responsive to operating in a second mode, and selectively outputting the first and the second data, or the third data, to a display based on whether the docking station operates in the first or the second mode. The selectively outputting includes determining that the computing device is not coupled to the docking station, and in response, processing the third data by an application installed in a secure sandbox, and outputting the processed third data to the display.

Abstract: Data processing techniques are described to obtain user data previously collected when a user is requested to complete application forms associated with multiple servers. The application forms may include some fields that may be in common and that may request the same user data. For each application form requested by the user, the data processing techniques can identify and obtain the relevant previously collected data about the user for the application form. The application form for a product can have certain fields that may be pre-filled based on the relevant and/or non-confidential previously collected user data. The data processing techniques can also provide an estimate of the time that may be needed by the user to complete at least one application form so that the user can obtain a requested product.

Abstract: In some examples, an array sensor temperature control system is provided. The system may include an array sensor for generating a two-dimensional image, the two-dimensional image including a plurality of pixels or cells indicative of a temperature of a monitored component; a controller for controlling a heating or cooling device to adjust the temperature of the monitored component; and an array sensor controller activated by a power source and being in communication with the array sensor and controller.

Abstract: Result images are retrieved based on a similarity to a query image. A set of textual inputs is processed with a machine-learned language model to obtain a language output comprising textual content, wherein the set of textual inputs comprises textual content from source documents that include the result images, and a prompt associated with the query image. The language output and the result images are provided to a user computing device. Information is received descriptive of an indication by a user that a first result image is visually dissimilar to the query image. Textual content associated with the source document that includes the first result image from the set of textual inputs is removed. The set of textual inputs is processed with the machine-learned language model to obtain a refined language output. The refined language output is provided to the user computing device.

Abstract: A result image is retrieved based on a similarity between a query image and the result image. A first unit of text is obtained, wherein the first unit of text comprises at least a portion of textual content of a source document that includes the result image. A second unit of text is determined responsive to a prompt associated with the query image, wherein the second unit of text comprises one or more of (a) at least some of the first unit of text, or (b) text derived from the first unit of text. The second unit of text and the result image are provided for display within an interface.

Abstract: The techniques herein include using an input context to determine a suggested action and/or cluster. Explanations may also be determined and returned along with the suggested action. The explanations may include (i) one or more most similar cases to the suggested case (e.g., the case associated with the suggested action) and, optionally, a conviction score for each nearby cases; (ii) action probabilities, (iii) excluding cases and distances, (iv) archetype and/or counterfactual cases for the suggested action; (v) feature residuals; (vi) regional model complexity; (vii) fractional dimensionality; (viii) prediction conviction; (ix) feature prediction contribution; and/or other measures such as the ones discussed herein, including certainty. The explanation data may be used to determine whether to perform a suggested action.

Abstract: A reciprocating pump assembly that includes a power end, first and second stay rods coupled to the power end, and a fluid end that includes a mounting flange coupled to the first and second stay rods and a packing nut assembly. The packing nut assembly includes a packing nut threadably engaged with the mounting flange and comprising a gear pattern, and a retention assembly that includes a collar, an alignment arm, a pawl, and a biasing assembly. The collar extends around the first stay rod. The alignment arm is coupled to the collar and shaped to contact the second stay rod. The pawl is pivotally coupled to the alignment arm or the collar and positioned to engage the gear pattern to allow the packing nut thread into the mounting flange and prevent the packing nut from unthreading. The biasing assembly biases the pawl into engagement with the gear pattern.

Abstract: Disclosed are surfactants, as well as methods of using thereof in oil and gas operations.

Abstract: Disclosed are co-solvents as well as methods of using thereof in oil and gas operations. Described herein are also methods of displacing an unrefined petroleum material in contact with a solid material, said method comprising: contacting the unrefined petroleum material with the compound described herein or a composition described herein, wherein the unrefined petroleum material is in contact with the solid material; and allowing the unrefined petroleum material to separate from the solid material, thereby displacing the unrefined petroleum material in contact with the solid material.

Abstract: A method of separating plastic material from battery materials can include: a) receiving battery materials in an immersion comminuting apparatus; b) by carrying out at least a first size reduction of the battery materials under immersion to create a primary-reduced metal material, primary-reduced plastic material and liberating a first amount of a black mass material; c) extracting at least a primary plastics slurry from the primary comminuting apparatus, wherein the primary plastics slurry comprises a mixture of the primary-reduced plastic material, a portion of the primary-reduced metal material and a portion of the black mass material liberated by the immersion comminuting apparatus; and d) carrying out a further, second size reduction of the plastic slurry using a non-immersion comminuting apparatus that is downstream from the immersion comminuting apparatus.

Abstract: Disclosed are compounds as well as methods of using thereof in oil and gas operations. The compounds described herein can be used in Enhanced Oil Recovery (EOR) formulations to provide aqueous stability and ultra-low interfacial tension region. Accordingly, also provided are aqueous compositions for use in EOR that comprise the compounds described herein.

Abstract: A method of decoding a coding unit from a coding tree unit of an image frame from a video bitstream. The method comprises determining a scan pattern for a transform block, the scan pattern progressing from a current collection to a next collection of the plurality of collections after completing scanning of the current collection; decoding residual coefficients from the video bitstream according to the scan pattern; determining a multiple transform selection index for the coding unit, decoding the multiple transform selection index from the video bitstream if a last significant coefficient encountered along the scan pattern is at or within a threshold cartesian location of the transform block, and determining the multiple transform selection index to indicate that multiple transform selection is not used if the last significant residual coefficient position of the transform block along the scan pattern outside the threshold location; and transforming the decoded residual coefficients.

Abstract: A method of decoding a coding unit of a coding tree from a coding tree unit of an image frame from a video bitstream, the coding unit having a primary colour channel and at least one secondary colour channel. The method comprises determining a coding unit including the primary colour channel and the at least one secondary colour channel according to decoded split flags of the coding tree unit; decoding a first index to select a kernel for the primary colour channel and a second index to select a kernel for the at least one secondary colour channel; selecting a first kernel according to the first index and a second kernel according to the second index; and decoding the coding unit by applying the first kernel to residual coefficients of the primary colour channel and the second kernel to residual coefficients of the at least one secondary colour channel.