Abstract: A method for predicting a structure of a protein complex includes: obtaining an initial coordinate of each amino acid residue in a target protein complex, and obtaining a target residue pair feature, a first multiple sequence alignment (MSA) feature and a second MSA feature of each protein monomer in the target protein complex; and inputting the initial coordinate of each amino acid residue, and the target residue pair feature, the first MSA feature and the second MSA feature of each protein monomer into an N-level fold iteration network layer, and obtaining a target coordinate of each amino acid residue by predicting a torsion angle, a position transformation at residue level and a position transformation at monomer chain level of each amino acid residue via the N level fold iteration network layer, to obtain a predicted structure of the protein complex.

Abstract: A method for information processing, is performed by an electronic device, and the method includes: obtaining a residue sequence AT that does not carry amino acid information and a first protein backbone structure BT generated by pure noise; and performing iterative denoising on the residue sequence AT and the first protein backbone structure BT; for a tth denoising, obtaining coevolution information of a residue sequence AT+1?t, and obtaining, based on the coevolution information and a first protein backbone structure BT+1?t, a residue sequence AT?t and a first protein backbone structure BT?t after the tth denoising, until the denoising is completed and a target amino acid sequence and a second protein backbone structure are obtained, where t is a positive integer, and 1?t?T, and T is a number of denoising times.

Abstract: A training method and apparatus for a full atomic structure prediction model. The method includes: obtaining structural information of a biomolecule and a first dynamic trajectory of the biomolecules; in which, the first dynamic trajectory includes position information of atoms in the biomolecule at different time points; adding noise to the first dynamic trajectory to obtain a second dynamic trajectory; encoding the structural information to obtain encoded features; decoding the encoded features and the second dynamic trajectory to obtain a target dynamic trajectory; and training an initial full atomic structure prediction model based on a difference between the target dynamic trajectory and the first dynamic trajectory, to obtain the full atomic structure prediction model.

Abstract: A method for obtaining an antibody sequence includes: obtaining first features of amino acids at different sequence positions according to an antigen multiple sequence alignment (MSA) sequence, an antibody MSA sequence, and a concatenated sequence of the antigen MSA sequence and the antibody MSA sequence; obtaining second feature of the amino acids at different 3D coordinates according to a graph constructed according to a reference antigen-antibody complex; fusing the first features of amino acids at different sequence positions with the second features of amino acids at 3D coordinates corresponding to the different sequence positions, and obtaining probability information of each of the amino acids at different positions in the antibody sequence according to fused features; and obtaining a target antibody sequence according to the amino acids and their probability information at different positions in the antibody sequence.

Abstract: A method and an apparatus for optimizing an mRNA sequence, an mRNA molecule, a pharmaceutical composition, and a use thereof are provided. The disclosure relates to the technical field of artificial intelligence, specifically to technical fields such as biological computing. The method for optimizing the mRNA sequence include: obtaining a first mRNA sequence for synthesizing a protein of interest, where the first mRNA sequence includes a 5? untranslated region sequence and a coding region sequence; and adjusting the 5? untranslated region sequence and the coding region sequence with the goal of maximizing a first score of the first mRNA sequence, so as to obtain an optimized second mRNA sequence for synthesizing the protein of interest, where the first score reflects at least one of the following indicators of the first mRNA sequence: translation initiation efficiency, codon adaptation index, and minimum free energy.

Abstract: In one embodiment, a personal care appliance includes an electric motor having a drive shaft. In response to a voltage signal, the drive shaft is oscillated in an oscillatory motion having an oscillation amplitude. A control circuit includes, in operable cooperation, a user interface, a processor, a pulse width modulation signal generator, and a power source. The control circuit supplies the voltage signal to the electric motor, the voltage signal having a frequency and a duty cycle. The control circuit varies the frequency and the duty cycle of the voltage signal in response to an oscillation adjustment input received from the user interface so that the oscillation amplitude of the drive shaft is varied along a substantially linear rate of change profile relative to the frequency.

Abstract: The present disclosure provides automated equipment for drilling and workover operations of oil field, and an oil field workover operation device, an integrated hydraulic clamp, a buckling apparatus and a string automated operating apparatus, and a derrick floor pipe handling manipulator for use in the automated equipment. The automated equipment comprises a workover rig, a derrick floor, an elevator, a monkey-board string automatic placement apparatus, a slip, an oil field workover operation device, a power clamp, and a derrick floor pipe handling manipulator, and the workover rig, the derrick floor, the elevator, the monkey-board string automatic placement apparatus, the slip, the oil field workover operation device, the power clamp, and the derrick floor pipe handling manipulator cooperate with each other to realize a lifting operation and a lowering operation of a string at a wellhead.

Abstract: A method for protein docking includes docking a first protein and a second protein according to at least two molecular docking methods to generate a complex conformation in each round of iteration; recognizing that an iteration end condition is not satisfied, continuing a next round of iteration until the iteration end condition is satisfied, and obtaining a final complex conformation.

Abstract: Apparatus and methods are provided for data collection general framework for AI-ML model training. In one novel aspect, the UE server sends the data collection request/triggering to UE through the application layer without network involvement with the general frame for data collection including data collection triggering, data collection configuration, measurements, and data delivery. In one embodiment, the assistance information is received from the RAN node with unicast or groupcast. In another embodiment, the UE delivers assistance information with the collected AI-ML model related data to deliver to the UE server. In one novel aspect, the UE server initiates a data collection request destined to the one or more UEs and receives one or more data collection responses and AI-ML model related data and assistance information through a data tunnel connected with the wireless network.

Abstract: Apparatus and methods are provided for data collection with RAN awareness. In one novel aspect, the UE performs data collection with RAN awareness. In one embodiment, the UE receives from the RAN node data collection configuration, which configures AI-ML model related parameters for the UE, performs data collection and delivers the collected AI-ML model related data through the RAN node destined to a UE server. In one embodiment, the UE further receives a data collection request from the RAN node, a core network entity or the UE server. In another novel aspect, the RAN node performs data collection with RAN awareness. In one embodiment, the RAN node accumulates one or more sets of AI-ML model related data collected by one or more other UEs and delivers the one or more sets of AI-ML model related data together with AI-ML model related data collected by the UE.

Abstract: Apparatus and methods are provided for AI-based compressed sensing for beam prediction. In one novel aspect, the UE obtains one or more sensing matrices with matrices training and performs weighted beam measurements. In one embodiment, the UE performs beam sweeping to generate one or more measurement matrices, obtains one or more sensing matrices by compressing the one or more measurement matrices with matrices training, and performs weighted beam measurements to generate one or more weighted beam measurement matrices. In one embodiment, the matrices training is performed by the UE or by the wireless network using an AI model. In one embodiment, the UE performs measurement matrix reconstruction based on the one or more weighted beam measurement matrices and the one or more sensing matrices. In one embodiment, the UE predicts an optimal beam based on the one or more predicted weighted beam measurement matrices.

Abstract: A computing system and method that can be used for organizing product-related emails, wherein product-related emails can pertain to products such as objects/items or otherwise pertain to entities such as experiences, subscriptions, services etc. In particular, example aspects of the present disclosure involve computing systems and computer-implemented methods for organizing product-related emails based on historical user data and characteristics extracted from the product-related emails. The systems and methods of the present disclosure allow for use of email that more conveniently conveys pertinent information contained in product-related emails through presentation of various information predicted as more valuable to a user and methods to more easily find product-related emails associated with a user's particular desires.

Abstract: An electronic device is provided, including a device shell and a flight photographing device. The device shell is provided with an opening and an inner cavity. The opening communicates with the inner cavity. The flight photographing device is movably arranged on the device shell. The flight photographing device is capable of extending out of the device shell through the opening or retracting into the device shell. In a case that the flight photographing device is located outside the device shell, the flight photographing device is separable from the device shell.

Abstract: A camera module includes a base, a photosensitive chip, a first lens, a first support, a driving mechanism, and a first elastic member. The photosensitive chip is disposed on the base, the first support is movably disposed on the base, the first support is provided with the first lens, and a connecting convex portion is disposed on an edge of the first support. The driving mechanism includes a driving source, a lead screw, and a nut, and the connecting convex portion is pressed against the nut under an action of the first elastic member; and the driving mechanism drives the connecting convex portion through the nut, to drive the first support to move along a first direction. In a case that the first support is subjected to an external force, the first elastic member enables the first support to move along a direction close to the photosensitive chip.

Abstract: Apparatus and methods are provided for UE performing MAC partial reset during cell switch by LTM. In one novel aspect, the UE performs partial MAC reset by keeping a set of MAC procedures. In another novel aspect, the UE keeps the HARQ process initiated by the source cell for the cell switch by LTM. In one embodiment, the UE associates one or more HARQ entities of the source cell to one or more component carriers (CCs) of the target cell after switching the UE serving cell to the target cell. In one embodiment, the UE obtains association information by receiving association information from the network, or by a linkage between CCs of the source cell group and the target cell group when no SCell changes or the target PCell is a source SCell or by deriving the association information based on the difference of current slot/symbol/SFN.

Abstract: Apparatus and methods are provided for supervised L1/L2-triggered mobility (LTM) cell switch. In one novel aspect, supervised LTM is performed by the UEs. In one embodiment, an LTM timer is preconfigured for the supervised LTM procedure. The UE starts the LTM timer upon receiving the cell switch command and monitors the process with the LTM timer. When the LTM timer expires and the UE fails to switch to a target cell, a recovery procedure is triggered. In one embodiment, the UE sends LTM procedure success indication explicitly through a new RRC message, a MAC CE, or DCI; or implicitly indicated by a HARQ ACK for a first downlink transmission, a first PUSCH transmission, or a first UL transmission through a PUSCH/PUCCH. In one embodiment, the recovery procedure performs an RRC re-establishment, or performs a failure recovery before the RRC re-establishment.

Abstract: The ultra-low frequency acoustic absorber (10) includes a hollow housing (12) having opposed first and second open ends (22, 24), and a plurality of metallic mesh layers (16) stacked within the housing (12). In order to secure the plurality of metallic mesh layers (16) within the hollow housing (12), first and second mesh covers (18, 20) may cover the first and second open ends (22, 24) of the hollow housing (12), respectively. At least one spacer (14) may be provided to form a gap between the housing (12) and a support surface, such as a hard wall (W) or the like. The at least one spacer (14) may have a length sufficient to space the ultra-low frequency acoustic absorber (10) at the position of optimal absorption based on an acoustic soft 10 boundary condition (ASBC).

Abstract: A soft boundary structure is implemented using a resonator structure capable of receiving sound or vibration, establishing resonance coupled with received sound or vibration, and creating a reflection with a pi phase factor. A soft boundary is located on or closely adjacent the resonator structure. The soft boundary cooperates with the resonator structure to attenuate the sound or vibration.

Abstract: Apparatus and methods are provided for UE to receive multicast services in RRC INACTIVE state. In one novel aspect, the UE joins a multicast session, receives an initial multicast configuration from a serving cell for the multicast, monitors a common multicast signaling for the multicast session in the RRC INACTIVE state and updates the multicast configuration based on the common multicast signaling upon detecting one or more predefined triggering conditions. In one embodiment, the UE updates the multicast configuration without notifying network. In another embodiment, the UE determines to perform a handover to a target cell upon detecting the source channel quality is below a predefined threshold. In one embodiment, the UE performs handover to the target cell after reconfiguring the multicast to the target cell. In one embodiment, the initial multicast configuration is received in an RRC Reconfiguration message or an RRC Release message.

Abstract: The present disclosure provides automated equipment for drilling and workover operations of oil field, and an oil field workover operation device, an integrated hydraulic clamp, a buckling apparatus and a string automated operating apparatus, and a derrick floor pipe handling manipulator for use in the automated equipment. The automated equipment comprises a workover rig, a derrick floor, an elevator, a monkey-board string automatic placement apparatus, a slip, an oil field workover operation device, a power clamp, and a derrick floor pipe handling manipulator, and the workover rig, the derrick floor, the elevator, the monkey-board string automatic placement apparatus, the slip, the oil field workover operation device, the power clamp, and the derrick floor pipe handling manipulator cooperate with each other to realize a lifting operation and a lowering operation of a string at a wellhead.