Abstract: Systems and methods are disclosed for an air intake assembly comprising an airbox defining a plenum for enclosing an air filter, an intake tube attached to the air filter at a first end of the intake tube, the intake tube having a shoulder, and a multi-lipped gasket for detachably connecting the intake tube to the airbox, the multi-lipped gasket comprising a body portion defining a bore for sealingly engaging the intake tube, a lip adjacent the bore for engaging the shoulder of the intake tube, and a pair of distal lips for sealingly engaging the airbox, wherein the airbox, the air filter, and the intake tube are adapted so that air flows into the airbox, through the air filter, through the intake tube, and into a combustion engine (optionally reaching the combustion engine by first passing through a turbocharger and intercooler) of a vehicle.

Abstract: A computer-implemented method for performing application data consistency management among a plurality of computing devices within a communication network includes retrieving by a first device, application data from a second device. The application data includes an app ID and a first application version number of an app residing on the second device. A first database table is updated using an object type associated with the app ID and the first application version number. The object type identifies a database table schema of a data object used by the app and a plurality of data fields of the data object. Data stored by one or more of the plurality of data fields is synchronized with a third device based on a second application version number of the app residing on the third device and the first database table.

Abstract: The present disclosure describes storage techniques for hybrid transactional and analytical processing. Data captured by a first processing engine may be received. The first processing engine may be configured to perform online transactional processing). Multiple replicas of logical logs generated based on the data may be distributed to a Delta Store by applying a quorum protocol on the multiple replicas. Data in the Delta Store are stored in a row format and are visible to a query for online analytical processing performed by a second processing engine. Data may be flushed from the Delta Store to a Base Store based on one or more predetermined rules. Data in the Base Store are stored in a columnar format and may be accessible by the second processing engine.

Abstract: The present disclosure describes techniques of providing data consistency for hybrid transactional and analytical processing. Logical logs and log serial numbers (LSNs) associated with the logical logs may be generated based on data captured by a first processing engine. The logical logs and the LSNs may be propagated to a storage subsystem configured to be in communication with the first processing engine and a second processing engine. The LSNs and information indicative of LSN schema versions may be stored and distributed by a metadata service. The first processing engine, the second processing engine, the storage subsystem and the metadata service are modularized, and support a LSN mechanism for maintaining data consistency.

Abstract: The present disclosure describes hybrid transactional and analytical processing (HTAP) techniques. A HTAP system comprises a first processing engine configured to perform online transactional processing, a second processing engine configured to perform online analytical processing, and a storage in communication with the first processing engine and the second processing engine. The first processing engine, the second processing engine, and the storage may be modularized and configured to be decoupled from each other. The system may be configured to capture data by the first processing engine in real time, organize the data in a first format in a first part of the storage for use by the first processing engine, propagate the data to a second part of the storage subsystem, and organize the data in a second format in the second part of the storage for use by the second processing engine.

Abstract: Embodiments of this application disclose an uplink data transmission method and apparatus. Specifically, user equipment reports an uplink mode supported by the user equipment to a network device by using a capability message, where the uplink mode is an uplink mode for a first carrier and a second carrier of the user equipment. The network device determines, based on the capability message, the uplink mode supported by the user equipment, generates a configuration message, and sends the configuration message to the user equipment. The configuration message includes an uplink mode configured by the network device. After receiving the configuration message, the user equipment transmits uplink data in the uplink mode in the configuration message.

Abstract: An image segmentation apparatus for magnetic resonance imaging according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a localizer image of an organ, the localizer image being three-dimensional or being in a plurality of layers and two-dimensional. The processing circuitry is configured to temporarily localize, on a basis of the localizer image, a segment in which the organ is present in terms of the layer direction of a plurality of slices included in the localizer image. The processing circuitry is configured to obtain a segmentation result of the organ, by performing an image segmentation process on the localizer image positioned inside the segment in which the organ is present.

Abstract: A computer-implemented method for performing data synchronization between a plurality of computing devices within a communication network includes detecting, by a first computing device of the plurality of computing devices, a changed data field of a plurality of available data fields within a first database table tuple. A bitmap within a plurality of configuration fields of the first database table tuple is updated to indicate a bit location associated with the changed data field. Synchronization data including the changed one or more data fields, the bitmap, and a version number of the first database table tuple within the plurality of configuration fields is sent to a second computing device. A conflict resolution procedure is performed based on a synchronization response received from the second computing device.

Abstract: An adsorbent for wastewater treatment includes titanium hexametaphosphate; the titanium hexametaphosphate is mainly prepared from hexametaphosphate and titanium salt. The adsorbent is an aggregate of micron or nanometer particles, with a large surface area and a good adsorption performance. The adsorbent, as a wastewater treatment agent, may effectively remove thallium contaminants in various water bodies such as underground water, surface water, chemical wastewater and mine wastewater at a removal rate of 99.8%; and the adsorbent has a good removal capability for heavy metals in water such as cadmium, plumbum, copper, stibium, cesium and uranium. The adsorbent has a wide applicable PH value range, and especially has a good adsorption capacity, stability and heat resistance under acidic conditions.

Abstract: The present disclosure provides methods of treating cancer with non-competitive, agonist anti-OX40 antibodies and antigen-binding fragments thereof that bind to human OX40 (ACT35, CD134, or TNFRSF4), in combination with a multi-kinase inhibitor.

Abstract: The present invention relates to isolated polypeptides having beta-glucanase activity, catalytic domains, carbohydrate binding modules and polynucleotides encoding the polypeptides, catalytic domains or carbohydrate binding modules. The invention also relates to nucleic acid constructs, vectors, and host cells comprising the polynucleotides as well as methods of producing and using the polypeptides, catalytic domains or carbohydrate binding modules. The present invention further relates to processes for producing fermentation products from starch-containing or cellulosic-containing material, as well as an enzyme blend or composition, or a recombinant host cell or fermenting organism suitable for use in processes of the invention.

Abstract: Provided are methods of treating cancer with non-competitive, agonist anti-OX40 antibodies and antigen-binding fragments thereof that bind to human OX40 (ACT35, CD134, or TNFRSF4), in combination with a PI3K (phosphatidylinositol-4,5-bis-phosphate 3-kinase) delta inhibitor.

Abstract: A magnetic resonance imaging apparatus according to an embodiment executes a first imaging prior to a second imaging and includes processing circuitry. The processing circuitry receives, on a first image obtained from the first imaging, a setting of a region in which an RF (Radio Frequency) pulse is to be applied to a subject, generates a three-dimensional image based on the first image, determines, based on an imaging purpose of the second imaging, a translucent region to which translucent processing is to be performed in the three-dimensional image, and displays the translucent region, making the translucent region translucent in the three-dimensional image.

Abstract: Provided are methods of treating cancer or increasing, enhancing, or stimulating an immune response with non-competitive, agonist anti-OX40 antibodies and antigen-binding fragments thereof that bind to human OX40 (ACT35, CD134, or TNFRSF4), in combination with an anti-TIM3 antibody or antigen binding fragment thereof.

Abstract: Provided are methods of treating cancer or increasing, enhancing, or stimulating an immune response with non-competitive, agonist anti-OX40 antibodies and antigen-binding fragments thereof that bind to human OX40 (ACT35, CD134, or TNFRSF4), in combination with an anti-TIGIT antibody or fragment thereof.

Abstract: Provided are methods of treating cancer with non-competitive, anti-OX40 antibodies and antigen-binding fragments thereof that bind to human OX40 (ACT35, CD134, or TNFRSF4), in combination with a chemotherapeutic agent.

Abstract: A computing device trains a machine state predictive model. A generative adversarial network with an autoencoder is trained using a first plurality of observation vectors. Each observation vector of the first plurality of observation vectors includes state variable values for state variables and an action variable value for an action variable. The state variables define a machine state, wherein the action variable defines a next action taken in response to the machine state. The first plurality of observation vectors successively defines sequential machine states to manufacture a product. A second plurality of observation vectors is generated using the trained generative adversarial network with the autoencoder. A machine state machine learning model is trained to predict a subsequent machine state using the first plurality of observation vectors and the generated second plurality of observation vectors. A description of the machine state machine learning model is output.