Abstract: Provided are a floor brush assembly for a vacuum cleaner and the vacuum cleaner. The floor brush assembly includes a roller brush component and a driving mechanism. The roller brush component includes a sleeve and a roller brush body rotatably mounted in the sleeve. The roller brush body is provided with bristles. The driving mechanism includes a power source and a transmission component. The transmission component includes a first driving member, a second driving member, and a driving wheel connected to the power source. The driving wheel is connected to the first driving member through a transmission shaft to drive the roller brush body to rotate. The driving wheel is connected to the second driving member through a linkage structure to drive the sleeve to rotate. The first driving member and the second driving member are eccentrically arranged to allow the bristles to be selectively extended out of or retracted into the sleeve.

Abstract: A method includes a step of identifying a subject in need of diet modification; and administering a first diet to the subject for a first time period. The first diet provides 4.5 to 7 kilocalories per pound of subject for a first day and 3 to 5 kilocalories per pound of subject per day for a second to fifth day of the first diet. The first diet includes less than 30 g of sugar on the first day; less than 20 g of sugar on the second to fifth days; less than 28 g of proteins on the first day; less than 18 g of proteins on days the second to fifth days; 20 to 30 grams of monounsaturated fats on the first day; 10 to 15 grams of monounsaturated fats on the second to fifth days; and between 6 and 10 grams of polyunsaturated fats on the first day.

Abstract: Provided is a floor brush assembly for a vacuum cleaner. The floor brush assembly includes a roller brush component and a driving mechanism. A roller brush body of the roller brush component is rotatably mounted in a sleeve. The roller brush body is provided with bristles arranged in an elongated shape to form a bristle portion. The sleeve of the roller brush component has an avoidance opening of an elongated shape, and the bristle portion and the avoidance opening are arranged to directly face towards each other in a radial direction of the roller brush body. A first driving member of the driving mechanism is configured to drive the roller brush body to rotate, and a second driving member is configured to drive the sleeve to rotate. The first driving member and the second driving member are eccentrically arranged to allow the bristle portion to be selectively extended or retracted through the avoidance opening.

Abstract: An eSIM device configuration system, method and apparatus and a storage medium are disclosed, which relate to the technical field of communication. The eSIM device configuration system includes an eSIM device, an eSIM operation terminal and an eSIM management terminal. The eSIM device detects a wireless environment to obtain wireless information and reports the wireless information to the eSIM operation terminal. The eSIM operation terminal selects a proper integrate circuit card identity according to the wireless information. The eSIM management terminal generates a Profile according to the integrate circuit card identity and sends the Profile to the eSIM device for activation, and selects a proper Profile by selecting a proper integrate circuit card identity to be written into the eSIM device, thus optimizing a communication network of the eSIM device.

Abstract: The present invention relates to a multi-party semi-supervised learning method for recommending potential users of financial products, and falls within the field of big data recommendation. To address the challenge faced by financial product providers who possess only positive labeled data and thus cannot perform effective customer recommendation, the method conducts multiple rounds of random sampling on unlabeled data from multiple other parties while preserving data privacy and security. Through this process, multiple balanced binary classification datasets comprising both positive and pseudo-negative samples are constructed. Based on each balanced dataset, a vertical federated learning model is then trained using a base estimator. Based on the collective prediction results generated by the vertical federated learning models, reliable positive samples are identified from the unlabeled data.

Abstract: A fasting mimicking diet package providing daily meal portions for a predetermined number of days is provided. The fasting mimicking diet package includes a kale cracker composition, a first vegetable broth composition, a mushroom soup composition, a tomato soup composition, a quinoa-containing minestrone soup composition, a bean-containing minestrone soup composition, and a pumpkin soup composition. Characteristically, the daily meal portions are packaged into meal servings or into a total daily serving to be divided into meals.

Abstract: A tomato leaf removal robot for facilities and a leaf removal method are provided. The robot includes a walking body for walking, a depth camera mounted on the walking body and configured to identify and position to-be-pruned foliage; a rotation support body capable of rotation from side to side and connected to the walking body; a telescopic arm base capable of swinging up and down and connected to the rotation support body; a telescopic shaft mounted on the telescopic arm base; a cutting device mounted at a front end of the telescopic shaft; and a collecting frame mounted on the walking body. The robot also includes a disinfection device configured to disinfect a cutting blade and a pruning cut.

Abstract: Provided are anti-GCC single domain antibodies (e.g., VHH domain antibodies), and chimeric antigen receptors (CARs) that bind to GCC comprising same in an extracellular antigen binding domain, a transmembrane domain, and an intracellular signaling domain. Immune cells transduced with the disclosed CAR constructs and/or a chimeric receptor can be used for cancer immunotherapy.

Abstract: The present disclosure provides single domain antibodies that bind to CD20, and chimeric antigen receptors comprising same. Further provided are engineered immune effector cells (such as T cells) comprising the chimeric antigen receptors. Pharmaceutical compositions, kits and methods of treating a disease or disorder are also provided.

Abstract: A personalized federated learning method for industrial Internet of Things targeting client needs is provided. The method includes: issuing, by a server, an initial model to each client as a local model, the local model including a shared layer and a personalized layer; for each client, freezing parameters of the personalized layer and locally training the shared layer based on local industrial data of the client using an orthogonality constraint loss; uploading the trained parameter of the shared layer of each client to the server for averaging and aggregation; sending the aggregated parameter to each client; updating the parameter of the shared layer of each client based on the aggregated parameter; repeating the training and parameter updating process of the shared layer until a count of iterations equals to a count of policy switching communications; training the shared layer and the personalized layer to obtain a trained local model of the client.

Abstract: A joint optimization method for path selection and gate scheduling in time-sensitive networking comprises S1, a CNC finding a TSN topology, and abstracting same into a network directed graph; S2, a terminal device sending to a CUC a TSN connection request, and the CUC sending same to the CNC; S3, the CNC selecting K shortest paths as alternative paths; S4, the CNC selecting m preferred paths; S5, the CNC finding an optimal transmission path for a TT stream, and finding a proper transmission path for a non-TT stream; S6, CNC completing traversal; S7, configuring a gate control list for the optimal transmission path of each pair of terminal devices; and S8, the CNC encapsulating a computation result into a gate scheduling table, configuring the gate scheduling table to a TSN switch, and then sending a traffic transmission computation result to the TSN terminal device.

Abstract: Disclosed is a vacuum pump assembly with an improved process by-product holding capacity, including a front bearing plate (1), an upper casing (2), a lower casing (3), a long rotor (4), a short rotor (5), and a rear bearing plate (6); the long rotor (4) and the short rotor (5) rotate about their respective rotary shafts in opposing directions, axes of the rotary shafts of the long rotor (4) and the short rotor (5) being set parallel to each other; the multiple stages of rotor elements of the long rotor (4) and the multiple stages of rotor elements of the short rotor (5) mesh with one another correspondingly; storage grooves (43, 54) are set on non-critical surfaces of rotor elements when meshing with one another. The disclosure improves process by-product holding capacity and effectively prevents pump jamming and wear caused by adhesion of the process by-product.

Abstract: A formal verification method and system for interlocking data security are provided. The method includes: building an interlocking data formal verification general model by using a formal modeling language; establishing a mapping relation between a set security logical attribute in the interlocking data formal verification general model and an interlocking device, an interlocking logical parameter, and a station interlocking function in interlocking data; performing security conversion on interlocking data to be verified according to the mapping relation to obtain general verification data required by the interlocking data formal verification data general model; and selecting a verification object from the general verification data, and selecting a verification algorithm to automatically verify the verification object by using a formal verification tool to complete formal verification for interlocking data security.

Abstract: Existing pre-lithiation methods are beset by many limitations, such as non-uniformity, over-lithiation, poor compatibility with battery components, and scaling challenges. This disclosure provides several technical solutions to the problem of effectively pre-lithiating electrodes. Some variations provide an electrochemical method of pre-lithiating a lithium-ion battery containing lithium vanadium oxide. Porous electrodes ameliorate the V2O5 pre-lithiation procedure, enhancing overall efficiency. Various configurations are disclosed, employing two or three electrodes. Other methods pre-lithiate any electrode material for a lithium-ion battery, utilizing a liquid lithium-ion conductor in a transport path with an electrode precursor powder material, to react lithium with the electrode precursor material, thereby generating a pre-lithiated electrode.

Abstract: A method includes a step of identifying a subject in need of diet modification; and administering a first diet to the subject for a first time period. The first diet provides 4.5 to 7 kilocalories per pound of subject for a first day and 3 to 5 kilocalories per pound of subject per day for a second to fifth day of the first diet. The first diet includes less than 30 g of sugar on the first day; less than 20 g of sugar on the second to fifth days; less than 28 g of proteins on the first day; less than 18 g of proteins on days the second to fifth days; 20 to 30 grams of monounsaturated fats on the first day; 10 to 15 grams of monounsaturated fats on the second to fifth days; and between 6 and 10 grams of polyunsaturated fats on the first day.

Abstract: An interlocking data safe conversion method for formal verification and a translator. Two translators with same functions are developed by adopting different programming methods and programming languages. An input file of each of the translators at least comprises an interlocking information table in interlocking data, a device interface information table, a station yard description data and interlocking Boolean logic data. Consistency of output files of the two translators is compared to realize detection process failure.

Abstract: Network device, method and computer-readable medium for video content processing. The network device comprises a memory having instructions stored thereon and a processor configured to execute the instructions stored on the memory to cause the network device to perform the following operations: Acquiring metadata of video content, wherein the video content comprises a plurality of segments, and the metadata represents evaluations from a plurality of users for at least one of the plurality of segments; according to the metadata and the preference information of the local users, generating highlights of the video content for the local users to play.

Abstract: Disclosed are an intelligent machining line for pipe sections and a method for machining same. The intelligent machining line for pipe sections includes: a cutting station, an assembly station, a finished product station, and a derusting station. The cutting station includes a first material conveying module, a clamping module and a cutting module. The assembly station includes a support module, a welding module, a first fitting storage module and a first transfer module. The finished product station includes a second transfer module and a finished product storage module. The first transfer module includes a driving structure and a grabbing assembly. The grabbing assembly is configured to grab a pipe section to be machined, a fitting or an assembled pipe section, and the driving structure is configured to drive the grabbing assembly to move among the assembly station, the cutting station and the finished product station.

Abstract: Disclosed are an intelligent machining line for pipe sections and a method for machining same. The intelligent machining line for pipe sections includes: a cutting station, an assembly station, a finished product station, and a derusting station. The cutting station includes a first material conveying module, a clamping module and a cutting module. The assembly station includes a support module, a welding module, a first fitting storage module and a first transfer module. The finished product station includes a second transfer module and a finished product storage module. The first transfer module includes a driving structure and a grabbing assembly. The grabbing assembly is configured to grab a pipe section to be machined, a fitting or an assembled pipe section, and the driving structure is configured to drive the grabbing assembly to move among the assembly station, the cutting station and the finished product station.

Abstract: A sensor data processing method, apparatus, electronic device and storage medium are provided. The method includes: acquiring a sensor data set, determining N sensor input sampling values, and determining, based on each sensor input sampling value, a sensor output sampling value corresponding to the sensor input sampling value in the sensor data set, to obtain N sampling data. In the embodiments of the present disclosure, the sensor data processing apparatus acquires a sensor data set and determines N sensor input sampling values. In addition, the sensor data processing apparatus determines, based on each sensor input sampling value, the sensor output sampling value corresponding to the sensor input sampling value in the sensor data set, to obtain N sampling data. Such process does not involve complex manual operations, so that the final determined N sampling data have high accuracy, and the process of determining N sampling data is highly efficient.