Abstract: Provided are methods and systems for controlling data such as content and/or application data transmitted to one or more user devices. One method can comprise receiving a request for first content and generating, in response to the request for the first content, a first transport stream comprising the first content and application data relating to a first application. At least a portion of the first transport stream is transmitted to a recipient device. An interruption in the transmission of the first transport stream is detected and a determination is made that only a first portion of the application data has been transmitted to the recipient device. A second transport stream including second content and a second portion of the application data is generated and transmitted.

Abstract: The present invention relates to a system for electrical energy storage. More specifically, the system comprises an energy storage retrofitted to an existing photovoltaic system. The present invention further relates to a method for control such a system for electrical energy storage.

Abstract: Provided are electrodes that include an electrode dry mixture and a dry electrolyte material intermixed with the electrode dry mixture; and a binder intermixed with the electrode dry mixture and the dry electrolyte material, said binder comprising fibrils; the electrode dry mixture, dry electrolyte material, and said binder in the form of a dry electrode film. The electrolyte material may include a glass ceramic and, optionally, an air-stabilizing dopant. The glass ceramic may include Li3PS4. The electrodes may include a composite cathode of the dry electrode film and optionally further include a solid-state electrolyte layer. Also provided are methods for forming the electrodes, optionally where the methods may be applicable for a solvent-free process to form electrodes and electrochemical cells and batteries including the electrodes.

Abstract: Provided herein are EphA2 antibodies. These EphA2 antibodies bind preferentially to tumor tissue than normal tissue and bind to EphA2. Such antibodies are used in methods of inducing an immune response and methods of inhibiting tumor cell growth. Additionally provided are methods of producing such antibodies.

Abstract: The invention provides a method for producing embedded diffractive contact lenses involving use of a mold set in two-curing steps. The mold set consists of three mold halves, one of which is used twice, the first time for molding a diffractive insert and the second time for an embedded contact lens with the molded diffractive insert embedded therein. The twice-used mold half has been treated with a corona plasma or a vacuum UV in a central circular area having a diameter equal to or smaller than the diameter of the insert to ensure that the molded insert consistently adheres to the twice-used mold half, even though the other mating insert mold half for molding the diffractive insert has a great tendency to bind strongly the molded insert due to the diffractive structure on its molding surface.

Abstract: A method for providing personalized responses to textual prompts using a large scale, privacy preserving, large language model (LLM) includes receiving a textual prompt from a user specifying a task for an LLM to perform, and obtaining a set of user features associated with the user. The method also includes determining, using the set of user features associated with the user, a user prompt embedding for the user, and processing, using the LLM, the textual prompt conditioned on the user prompt embedding for the user to generate a personalized response to the textual prompt. The method further includes providing the personalized response to the textual prompt for output from a user device associated with the user.

Abstract: Systems, methods, and computer program products that obtain a plurality of features associated with a plurality of samples and a plurality of labels for the plurality of samples; generate a plurality of first predictions for the plurality of samples with a first machine learning model; generate a plurality of second predictions for the plurality of samples with a second machine learning model; generate, based on the plurality of first predictions, the plurality of second predictions, the plurality of labels, and a plurality of groups of samples of the plurality of samples; determine, based on the plurality of groups of samples, a first success rate associated with the first machine learning model and a second success rate associated with the second machine learning model; and identify, based on the first success rate and the second success rate, a weak point in the machine learning first model or the second model.

Abstract: This disclosure describes methods, non-transitory computer-readable media, and systems that can (i) identify reads that align with at least some portion of alternative contiguous sequences representing structural variant haplotypes within a structural variant reference genome and (ii) generate a structural-variant-alignment tag within an alignment file for such read alignments to guide identifying candidate structural-variant locations. In addition to employing structural-variant-alignment tags, the disclosed systems identify read fragments that align or overlap with portions of alternate contiguous sequences representing an insertion (or other structural variant) and further masks such insertion-overlapping read fragments as part of an alignment file.

Abstract: Methods for improving engraftment of donor cells in a subject thereof are provided. Such methods can comprise providing donor cells that have been modified to express a first isoform of a target protein (e.g., interleukin-2 receptor subunit gamma (IL2RG)) that is functionally indistinguishable but immunologically distinguishable from a second isoform of the target protein, administering the donor cells to the subject, and then selectively inhibiting host cells in the subject based on their expression of the second isoform of the target protein, thereby improving engraftment of donor cells in the subject. Also provided are combinations for administration to a subject in need thereof, wherein the combination comprises (1) a population of donor cells modified to express a first isoform of a target protein (e.g., IL2RG) and (2) an antagonist (e.g.

Abstract: In various examples, multilabel hierarchical classification of objects for autonomous systems and applications is described herein. Systems and methods are disclosed that use one or more neural networks to classify objects, such as traffic signs, using multilabel classification and/or hierarchical classification. For instance, a multilabel subnetwork of the neural network(s) may classify an object based at least on one or more attributes associated with the object. As such, the output from the multilabel subnetwork may include at least a classification associated with the object and an attribute classification(s) associated with the object. A hierarchical subnetwork of the neural network(s) may also classify the object using one or more class labels, where a class label indicates another classification and/or a class group associated with the object.

Abstract: An example of a system for delivering neurostimulation may include a programming control circuit and a stimulation control circuit. The programming control circuit may be configured to generate stimulation parameters controlling delivery of the neurostimulation according to a stimulation configuration. The stimulation control circuit may be configured to specify the stimulation configuration, and may include volume definition circuitry and stimulation configuration circuitry. The volume definition circuitry may be configured to determine one or more test volumes, determine a clinical effect resulting from the one or more test volumes each being activated by the neurostimulation, and determine a target volume using the determined clinical effect. The stimulation configuration circuitry may be configured to generate the specified stimulation configuration for activating the target volume.

Abstract: Methods, apparatus, and systems are described for improved edge network access for a UE. According to some aspects, a UE may receive a first Data Network Name (DNN) from an application and determine, based on a Data Network Name (DNN) Replacement Rule, the first DNN is associated with a second Data Network Name (DNN), where the first DNN and the second DNN are different. The UE may determine, based on the DNN Replacement Rule, to associate traffic from the application with a Protocol Data Unit (PDU) Session, where the PDU Session may be used to send data from the application to a network and the PDU Session is associated with the second DNN.

Abstract: A method includes receiving, by a processing device, position error data from one or more motors of a process chamber. The method further includes performing preprocessing of the position error data. The method further includes transforming the position error data to a frequency domain. The method further includes determining, based on the frequency domain position error data, that a vibration fault has occurred in connection with the process chamber. The method further includes performing a corrective action in view of the vibration fault.

Abstract: Methods, systems, and computer program products are provided for embedding learning to provide uniformity and orthogonality of embeddings. A method may include receiving a dataset that includes a plurality of data points including a first plurality of data points having a first classification and a second plurality of data points having a second classification, generating a first normalized class mean vector of the first plurality of data instances having the first classification, generating a second normalized class mean vector of the second plurality of data instances having the second classification, performing a class rectification operation on the first plurality of data instances having the first classification and the second plurality of data instances having a second classification, and generating embeddings of the dataset based on original embedding space projections of the dataset.

Abstract: Described is a multi-regional, multi-omics approach to uncovering the mechanisms of immune escape in carcinoma. Immunotherapy with ant-PD1 and anti-CTLA4 elicits a heterogeneous immunological response across different regions of the tumor. Several genetic alterations associated with high intra-tumoral heterogeneity (ITH) shape tumor microenvironment (TME).

Abstract: Provided herein are acyclic oxazepinyl compounds useful in the treatment on cancers.

Abstract: Provided herein are compounds of Formula (I), and pharmaceutically acceptable salts, N-oxides, or solvates thereof, Also provided herein are pharmaceutical compositions comprising compounds of Formula (I) and methods of using compounds of Formula (I).

Abstract: A wave energy converter is provided which includes a central body including a nacelle, the nacelle housing at least one power take off. The wave energy converter also includes a first float and a first float arm coupled to the nacelle on a first side, and a second float and a second float arm coupled to the nacelle on a second side. The first float is rotatably coupled to the nacelle, the first float and the first float arm forming a first body configured to rotate, where the first body is operatively coupled to the at least one power take off such that relative motion between the first body and the central body generates energy in the at least one power take off. In one embodiment, the central body has a low reserve buoyancy, where the reserve buoyancy of the central body is lower than the reserve buoyancy of either of the first float and the second float, to minimize a heave response of the central body relative to the first float to increase output of the wave energy converter.

Abstract: The application discloses an artificial acetabular cup and a manufacturing method thereof. The artificial acetabular cup has an annular base and a dome extending from the annular base. At least a part of the inner layer of the dome is a solid layer, at least a part of the outer layer of the dome is a porous structure layer, and the thickness of the inner layer is less than that of the porous structure layer. The artificial acetabular cup of the present application has lower production cost and better performance.

Abstract: Methods, systems, and computer program products for generating, from an input character sequence, an output sequence of audio data representing the input character sequence. The output sequence of audio data includes a respective audio output sample for each of a number of time steps. One example method includes, for each of the time steps: generating a mel-frequency spectrogram for the time step by processing a representation of a respective portion of the input character sequence using a decoder neural network; generating a probability distribution over a plurality of possible audio output samples for the time step by processing the mel-frequency spectrogram for the time step using a vocoder neural network; and selecting the audio output sample for the time step from the possible audio output samples in accordance with the probability distribution.