Abstract: The current disclosure includes coronavirus vaccines that protect against pathogenic coronavirus species, as well as their variants. In certain embodiments, SARS-CoV-2 variant specific and multivalent coronavirus vaccines are described. The vaccines typically include a modified mRNA which encodes at least one coronavirus derived immunogen, such as a spike protein or a fragment thereof. The mRNA can be encapsulated into lipid nanoparticles or other carriers and formulated as pharmaceutical compositions which can be used to generate an immune response to coronavirus in a subject. The vaccines can be used to elicit potent B and T cell responses against SARS-CoV-2 variants and to confer protective immunity against SARS-CoV-2, as well as other pathogenic coronavirus species such as SARS-CoV and/or MERS-CoV.

Abstract: This application relates to a cell balancing method and apparatus, an electronic device, and a storage medium. The method includes: performing charge and discharge operations on battery cells in an energy storage system, and determining a first battery cell that first reaches a discharge cut-off voltage during the discharge operation, and a second battery cell that first reaches a charge cut-off voltage during the charge operation; and performing a balancing process on the battery cells in the energy storage system in a case that the first battery cell is different from the second battery cell. This application can fully utilize the state of charge of a lowest-capacity battery cell and a total capacity of the energy storage system.

Abstract: A battery balancing detection method, apparatus, an electronic device, and a storage medium, wherein the method comprises: performing negative pulse discharging on a battery in response to a battery balancing detection instruction; and determining an unbalancing degree of the battery based on electrical parameters of battery cells in the battery after discharging. The method can avoid detection errors brought about by DCR when detecting the unbalancing degree in the case where current exists when the power battery system is providing electric energy, and can take into account the detection of the unbalancing degree of the battery while detecting the SOH of the battery by means of negative pulses, which is conducive to the improvement of the energy utilization rate and the service life of the battery.

Abstract: Disclosed are an electrostatically driven comb structure of an MEMS (Micro Electro Mechanical System), a micro-mirror using the same, and a preparation method therefor.

Abstract: Disclosed are an electrostatically driven comb structure of an MEMS (Micro Electro Mechanical System), a micro-mirror using the same, and a preparation method therefor.

Abstract: The present disclosure provides a set of high-throughput methods for rapid and efficient identification and generation of monoclonal antibodies. Also provided are highly potent human and humanized monoclonal antibodies and antigen-binding fragments and bispecific antibodies which are capable of binding to a wild-type or variant SARS-COV-2 spike protein receptor-binding domain (RBD), isolated nucleic acids and expression vectors encoding the antibodies and antigen-binding fragments and bispecific antibodies, cells comprising the nucleic acids and/or expression vectors, and methods for detecting, diagnosing, and/or neutralizing SARS-COV-2 and for treating at least one sign or symptom of a condition, disorder, or disease caused by SARS-COV-2 infection, including COVID-19.

Abstract: A method includes selecting, based on selectable tag(s) carried by a network connection object, selectable application instance(s) corresponding to the selectable tag(s), respectively, from original application instance(s); selecting excludable application instance(s) from the original application instance(s) based on exclusion indication information carried by the network connection object; deleting one or more of the selectable application instance(s) based on the excludable application instance(s), to obtain candidate application instance(s) associated with a first service network and a second service network; selecting, based on a running status corresponding to each of the candidate application instance(s), target application instance(s) that meet a running condition, from the candidate application instance(s); and establishing, by the controller, a network connection between the first service network and the second service network based on the target application instance(s).

Abstract: Service cluster instance backup and recovery methods and related devices are disclosed. For a container group in a service cluster instance to be backed up, a source persistent volume claim and a source persistent volume object corresponding to the container group may be set, and the container group is stored based on the source persistent volume object. When the service cluster instance satisfies a backup triggering condition, for the container group, a backup persistent volume claim and a backup persistent volume object of the container group are created according to the source persistent volume claim and the source persistent volume object corresponding to the container group. To-be-backed-up data of the container group is acquired based on the source persistent volume object. The to-be-backed-up data is backed up to a storage area pointed by the backup persistent volume object according to the backup persistent volume claim of the container group.

Abstract: The present disclosure discloses a door lock, a door lock controlling method and a door lock controlling device. The door lock includes a main controlling module, an unlocking module and a sensing module. The sensing module is configured to determine whether a human body is present within a first preset detection range; if yes, the main controlling module and the unlocking module are controlled to be powered on; and if no, the main controlling module and the unlocking module are controlled to be powered off. In the present disclosure, only the sensing module is in an operating state and other modules are not powered on when there is no user who is trying to open the door. Therefore, the power consumption of the door lock is reduced.

Abstract: An adversarial image generation method, a computer device, and a computer-readable storage medium are provided. The method includes the following. A reference model classification-equivalent with a target classification model is generated according to the target classification model. A target image is obtained and an original noise for the target image is generated according to the reference model. A first noise and the original noise are input into an adversarial model and a second noise corresponding to the first noise is output when the adversarial model meets a convergence condition, where the second noise enhances an information entropy of the original noise. An enhanced noise image corresponding to the target image is generated according to the second noise and the target image, where a classification accuracy of the enhanced noise image in the target classification model is less than a classification accuracy of the target image in the target classification model.

Abstract: Disclosed are an automatic welding system and method for large structural parts based on hybrid robots and 3D vision. The system comprises a hybrid robot system composed of a mobile robot and an MDOF robot, a 3D vision system, and a welding system used for welding. The rough positioning technique based on a mobile platform and the accurate recognition and positioning technique based on high-accuracy 3D vision are combined, so the working range of the MDOF robot in the XYZ directions is expanded, and flexible welding of large structural parts is realized. The invention adopts 3D vision, thus having better error tolerance and lower requirements for the machining accuracy of workpieces, positioning accuracy of mobile robots and placement accuracy of the workpieces; and the cost is reduced, the flexibility is improved, the working range is expanded, labor is saved, production efficiency is improved, and welding quality is improved.

Abstract: Disclosed are an automatic welding system and method for large structural parts based on hybrid robots and 3D vision. The system comprises a hybrid robot system composed of a mobile robot and an MDOF robot, a 3D vision system, and a welding system used for welding. The rough positioning technique based on a mobile platform and the accurate recognition and positioning technique based on high-accuracy 3D vision are combined, so the working range of the MDOF robot in the XYZ directions is expanded, and flexible welding of large structural parts is realized. The invention adopts 3D vision, thus having better error tolerance and lower requirements for the machining accuracy of workpieces, positioning accuracy of mobile robots and placement accuracy of the workpieces; and the cost is reduced, the flexibility is improved, the working range is expanded, labor is saved, production efficiency is improved, and welding quality is improved.

Abstract: A method and an apparatus for generating time series data based on multi-condition constraints, and a medium are provided. The method include the following: a data repair request from a client is received, the data repair request including to-be-repaired data and condition information; normalization processing is performed on the to-be-repaired data to obtain normalized data, and tensor processing is performed on the condition information to obtain a feature label; a trained data repair model is called to perform repair processing on the normalized data according to the feature label to obtain first repaired data, the data repair model being obtained by training according to sample data, a first sample condition, real sample data and a second sample condition, and the sample data being noise data; and the first repaired data is sent to the client.

Abstract: A method of capturing water from a composition comprising water or water vapour using a hybrid ultramicroporous material. The method comprises the steps of: (a) providing a hybrid ultramicroporous material of formula [M(L)a(X)b]; and (b) contacting the hybrid ultramicroporous material with the composition comprising water to capture water into the hybrid ultramicroporous material; The hybrid ultramicroporous materials used in the method of the present invention have fast kinetics of water uptake and high working capacity compared to known commercial sorbent materials. The method of the present invention may be used in water capture and purification processes to provide fresh water suitable for drinking or for use in agriculture. The method of the present invention may also be used to remove water as a contaminant or for use in dehumidification processes. A use of such a hybrid ultramicroporous material and a device for capturing water are also disclosed.

Abstract: A new multifunctional biomass suspension deflagration test-bed is provided, which includes a closed combustion chamber. An integrated temperature and pressure sensor is arranged in the combustion chamber, and a high-speed camera and a laser concentration-measuring instrument are arranged outside the combustion chamber, which can monitor suspension deflagration. A bottom of the combustion chamber is provided with a hollow mushroom-shaped dispersion nozzle with a tray. A nozzle body is provided with a gas main-flow channel at a center thereof and gas deflected-flow channels arranged around the gas main-flow channel. A mushroom-shaped baffle plate is arranged above the nozzle body. The gas main-flow channel extends upward to the mushroom-shaped baffle plate. A vent hole is formed in a portion of the mushroom-shaped baffle plate which is corresponding to the gas main-flow channel. Each gas deflected-flow channel is inclined outward from bottom to top and directed to the mushroom-shaped baffle plate.

Abstract: A proteolysis targeting chimera (PROTAC), and an application thereof in preparation of a drug for treating a related disease. Specifically disclosed are a compound as represented by formula (I) and a pharmaceutically acceptable salt thereof.

Abstract: A container login method, a container login apparatus, and a storage medium are provided. In an example embodiment, a target container login request from a browser is received; a first connection between a server and the browser is established based on the target container login request; an address of a control node corresponding to a container cluster in which a target container is located is obtained based on an identifier of the container cluster; and a second connection between the server and the target container is established based on the address of the control node and an identifier of the target container, to log in to the target container.

Abstract: This application embodiment provides a method for equalizing the battery module, an apparatus, a battery module and a power management controller, including: judging whether the first battery core and the second battery core enter their respective fully-charged interval; if the first battery core enters and the second battery core doesn't enter, discharging the first battery core until the second battery core enters; if the first battery core doesn't enter and the second battery core enters, judging whether the maximum value of the first charging voltage of each battery cell in the first battery core is greater than a third preset value; if so, discharging the second battery core until the first battery core enters; if not, controlling both to rest a preset time; after resting for the preset time, discharging the first battery core and the second battery core until the SOC of each battery cell enters a same state.

Abstract: The present disclosure relates to a monitoring frequency setting method and device. The method includes that: a usage log of a controlled device is acquired; and a monitoring frequency of the controlled device is adjusted according to the usage log.

Abstract: A method and an apparatus for generating time series data based on multi-condition constraints, and a medium are provided. The method include the following: a data repair request from a client is received, the data repair request including to-be-repaired data and condition information; normalization processing is performed on the to-be-repaired data to obtain normalized data, and tensor processing is performed on the condition information to obtain a feature label; a trained data repair model is called to perform repair processing on the normalized data according to the feature label to obtain first repaired data, the data repair model being obtained by training according to sample data, a first sample condition, real sample data and a second sample condition, and the sample data being noise data; and the first repaired data is sent to the client.