Abstract: An amino acid sequence of the transaminase mutant is an amino acid sequence obtained by a mutation of an amino acid sequence is shown in SEQ ID NO: 1. The mutation occurred at least one of the following mutation sites: G17V, L36P, Q40H, G69Y, H70T, L73A, V77G, V77S, V77T, A78I, Y130M, Y130V, Y130T, N132I, N132T, K141S, K142S, K142T, R143P, G144F, G144W, G144Y, E145D, E145S, E145G, K146R, L148A, L148I and the like.

Abstract: Embodiments described herein provide a dense hierarchical retrieval for open-domain question and answering for a corpus of documents using a document-level and passage-level dense retrieval model. Specifically, each document is viewed as a structural collection that has sections, subsections and paragraphs. Each document may be split into short length passages, where a document-level retrieval model and a passage-level retrieval model may be applied to return a smaller set of filtered texts. Top documents may be identified after encoding the question and the documents and determining document relevance scores to the encoded question. Thereafter, a set of top passages are further identified based on encoding of the passages and determining passage relevance scores to the encoded question. The document and passage relevance scores may be used in combination to determine a final retrieval ranking for the documents having the set of top passages.

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.

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 device-cloud collaboration method, platform, and apparatus, where the device-cloud collaboration method includes: obtaining current spatial information of each target terminal; tracking a spatial information change of each target terminal, to obtain a spatial information change status of each target terminal; and determining, based on spatial information-based arbitration conditions preset for different target mobile applications and the spatial information change status of the target terminal corresponding to the different target mobile applications, whether to trigger subsequent operations related to the different target mobile applications. The device-cloud platform blocks a change in which the user is not interested through arbitration of a spatial information change of the user, and provides an appropriate spatial information change to a mobile application, or triggers a subsequent operation of the mobile application.

Abstract: The present disclosure provides a method for trapping molecules with optical fiber tweezers based on phase transition and crystallization and a method for detecting a Raman spectrum of a persistent organic pollutant, belonging to the technical field of surface-enhanced Raman spectroscopy. Based on quite different solubilities of a substance to be detected in different solvents, dissolved phase small molecules to be detected are transformed into large size crystalline phase molecules through the physical process of phase transition and crystallization. Further, effective trapping of molecules to be detected that are not prone to bonding to noble metal nanoparticles in the vicinity of the noble metal nanoparticles can be achieved by combining the physical process of phase transition and crystallization with the physical trapping technique using optical fiber tweezers, so that the sensitivity of surface-enhanced Raman scattering (SERS) spectrum detection is significantly improved.

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: Disclosed probes comprise metal nanoparticle cores associated with magnetic particles that allow probes associated with targets to be concentrated by an applied magnetic field to increase detection sensitivity and provide sufficient spacing between concentrated probes to avoid signal quenching. The probe may comprise at least one recognition receptor, and may further comprise at least one reporter molecule, such as a fluorescent tag, a Raman reporter, or combinations thereof. Concentrating probe-target composites substantially enhances a sensing signal, such as from 5 to 10 times, compared to detection without concentrating the probes. The method may be used to detect, for example, interleukins at concentrations at least as low as 25 pg/ml in sputum or blood from a subject for early and precise profiling of viral infections, such as SARS-CoV-2 infections.

Abstract: A communication apparatus includes a first duplexer, a second duplexer, and a switch. In a first switch position, a first output end of the switch is connected to a first branch at which the first duplexer is located. In a second switch position, a second output end of the switch is connected to a second branch at which the second duplexer is located. A transmit filter of the first duplexer corresponds to a first uplink band. A receive filter of the first duplexer corresponds to a first downlink band. A bandwidth of the first downlink band is greater than a bandwidth of the first uplink band. A transmit filter of the second duplexer corresponds to a second uplink band. A receive filter of the second duplexer corresponds to a second downlink band. A bandwidth of the second downlink band is greater than a bandwidth of the second uplink band.

Abstract: The present disclosure provides a method for trapping molecules with optical fiber tweezers based on phase transition and crystallization and a method for detecting a Raman spectrum of a persistent organic pollutant, belonging to the technical field of surface-enhanced Raman spectroscopy. Based on quite different solubilities of a substance to be detected in different solvents, dissolved phase small molecules to be detected are transformed into large size crystalline phase molecules through the physical process of phase transition and crystallization. Further, effective trapping of molecules to be detected that are not prone to bonding to noble metal nanoparticles in the vicinity of the noble metal nanoparticles can be achieved by combining the physical process of phase transition and crystallization with the physical trapping technique using optical fiber tweezers, so that the sensitivity of surface-enhanced Raman scattering (SERS) spectrum detection is significantly improved.

Abstract: The present invention is generally related to modified or mutated respiratory syncytial virus fusion (F) proteins and methods for making and using them, including immunogenic compositions such as vaccines for the treatment and/or prevention of RSV infection.

Abstract: A fan control system for use in a server system is disclosed. The fan control system includes a first monitoring and protection chip, a second monitoring and protection chip, a switch, a plurality of fans and a complex programmable logic device (CPLD). In a shutdown state of the server system, the switch is switched under control of the CPLD so that the fans are connected to the second monitoring and protection chip, receive standby power therefrom and run at a standby power level. When the server system is switched to a working state, the switch is switched under control of the CPLD so that the fans are connected to the first monitoring and protection chip, receive operating power therefrom and run at a higher working power level. This design can address different heat dissipation needs of various applications.

Abstract: A server system for updating firmware with a baseboard management controller (BMC) is disclosed, which includes the BMC, a first read-only memory (ROM), a second ROM, a first multiplexer (MUX), a second MUX, a third ROM, a fourth ROM, a smart network interface controller (NIC), a field programmable gate array (FPGA) chip and a complex programmable logic device (CPLD). The CPLD switches the first and second MUXs to allow the BMC to update firmware in the first, second, third or fourth ROM.

Abstract: The present disclosure provides an automatic chip testing system and method. The automatic chip testing system includes: a client, which is used to send a test instruction regarding the chip; a server, which includes a main board and a chip connected to it. The main board is used to receive the test instruction, convert the test instruction into a test file, and transmit the test file to the chip; the chip is used to trigger test items related to the test file after receiving the test file, the function test result of the chip is generated, and the function test result of the chip is shared to the client through the main board. The disclosure improves the reliability of the chip test result, and saves the test time.

Abstract: A circuit structure with automatic PCIe lane configuration adjustment and a method thereof are disclosed. The circuit structure includes a plurality of PCIe riser cards and a motherboard. The PCIe riser cards are of at least two lane sizes each associated with a PCIe size identifier. The motherboard includes a plurality of PCIe ports, a CPLD module, a storage unit, a BMC module and a BIOS unit. The PCIe ports are electrically connected to the respective PCIe riser cards via a plurality of PCIe cables. The CPLD module is electrically connected to the PCIe ports so as to be able to read the PCIe size identifiers thereof and determine current configuration information from a comparison between the PCIe size identifiers and present signals.

Abstract: Disclosed herein is an aminopyrazine compound of Formula (I), or a stereoisomer thereof, or a pharmaceutically acceptable salt thereof, and pharmaceutical compositions comprising thereof. Also disclosed is a method of treating HPK1 related disorders or diseases by using the compound disclosed herein.

Abstract: (A) Conditional vectors are defined. (B) Latent observation vectors are generated using a predefined noise distribution function. (C) A forward propagation of a generator model is executed with the conditional vectors and the latent observation vectors as input to generate an output vector. (D) A forward propagation of a decoder model of a trained autoencoder model is executed with the generated output vector as input to generate a plurality of decoded vectors. (E) Transformed observation vectors are selected from transformed data based on the defined plurality of conditional vectors. (F) A forward propagation of a discriminator model is executed with the transformed observation vectors, the conditional vectors, and the decoded vectors as input to predict whether each transformed observation vector and each decoded vector is real or fake. (G) The discriminator and generator models are updated and (A) through (G) are repeated until training is complete.

Abstract: A computer-implemented method for data synchronization in a P2P ad hoc network includes retrieving network configuration information identifying a plurality of devices forming the P2P ad hoc network. A time offset between a local physical time at a first device and a local physical time of a second device is determined. A change in a data object of a plurality of data objects stored at a key-value store within the first device is detected, each of the data objects including a synchronization indicator. The data object change is communicated to at least the second device based on the synchronization indicator. Upon receiving confirmation from the at least the second device of receipt of the data object change, the network configuration information is updated with a timestamp based on the time offset and indicative of the local physical time at the first device when the data object change was communicated.