Abstract: A computer-implemented method is presented for scanning a computer network. The method includes: a) sending a particular network probe to a network address in a computer network; b) receiving a response to the network probe from the network address; c) appending the response to a set of features forming a feature vector; d) determining a next network probe to conduct at the network address; and e) predicting, by the computer processor, the response from the next network probe using the feature vector and a model, where the model is trained using a machine learning method and outputs a probability that a given network address will respond to a network probe.

Abstract: Disclosed in the present disclosure is an out-of-order data generation method.

Abstract: A battery includes a battery cell and processing circuitry. The processing circuitry is configured to determine an estimated temperature of the battery cell as a function of various models. The models include a battery cell heat generation model that receives a first input indicative of a battery voltage measurement, a second input indicative of a voltage corresponding to a battery open-circuit voltage (OCV) model, and a third input indicative of a battery current measurement. The models also include a gas gauge and system heat generation model that receives the third input. The models also include a battery and gas gauge heat transfer model that receives a fourth input indicative of a gas gauge temperature measurement.

Abstract: A computer-implemented method for transforming a neural radiance field model is described. A plurality of inputs are provided to a neural radiance field (NeRF) model that represents a 3-dimensional space having a subject, wherein each input of the plurality of inputs includes a location and a view direction and corresponds to respective colors of voxels that represent the 3-dimensional space. A spectral analysis is performed on a plurality of outputs of the NeRF model based on the plurality of inputs, wherein the plurality of outputs include the respective colors of the voxels. Frequency components of the spectral analysis that represent colors for at least some of the voxels are extracted. A sparse volume data structure that represents the 3-dimensional space and the respective colors for the at least some of the voxels is generated.

Abstract: A software platform-specific function disassembling and calling method for a third-party program library includes constructing a third-party program library, verifying legitimacy of the third-party program library, and calling the third-party program library. This realizes an automatic import solution for a function disassembling and a calling system of the third-party program library. For both a newly-added third-party program library and an existing third-party program library to which a function change is made, a software platform can automatically identify a function interface by only loading the third-party program library and without requiring a user to manually update a calling program. This method can ensure architectural stability of the software platform and avoid stability degradation caused by repeated modifications to the software platform.

Abstract: A frame pool having a plurality of vertical support tubes, a plurality of horizontal support tubes, a pool body comprising a pool bottom and a pool wall, and a reinforcing band having a continuous annular shape and provided between the inner side of the vertical support tubes and an outer surface of the pool wall. The reinforcing band entirely or partially covering the perimeter of the pool body and being fitted with the pool wall. A fixing band having a continuous annular shape is provided about an outer surface of the reinforcing band and of the vertical support tubes. At least one fixing device is fixedly coupled to the reinforcing band, wherein the fixing band passes through the fixing device.

Abstract: An antenna mounting kit for an integrated base station antenna includes: an upper mounting assembly configured to removably connect an upper portion of the integrated base station antenna to a mounting pole; a middle mounting assembly configured to removably connect a middle portion of the integrated base station antenna to the mounting pole; and a lower mounting assembly configured to removably connect a lower portion of the integrated base station antenna to the mounting pole. The antenna mounting kit can not only mount the 4G antenna unit to the mounting pole, but also mount the 5G antenna unit to the 4G antenna unit, reducing the number of components required for mounting, simplifying mounting steps, and reducing labor costs.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for latency processing. The method includes: in response to that a data persistence operation occurs in a system, acquiring a record for the operation, wherein the record includes an actual latency of the operation and a group of measurements of a group of states of the system within a predetermined time period of the occurrence of the operation. The method further includes: in response to that the actual latency of the operation is greater than a first threshold, generating an estimated latency of the operation by using a trained predictor on the basis of the group of measurements. The method further includes: determining a difference between the actual latency and the estimated latency, and in response to that the difference is less than a second threshold, identifying one or more states from the group of states on the basis of the record and the estimated latency.

Abstract: Disclosed are a gain adjustment method and an optical fiber amplifier. The gain adjustment method is applied to an optical fiber amplifier at least including a gain medium, a dynamic gain equalizer and a control unit. The method is performed by the control unit, and includes: determining a property parameter of the gain medium and a current attenuation spectrum of the dynamic gain equalizer; determining, in a preset gain attenuation-spectrum library, a gain attenuation-spectrum mapping table corresponding to the property parameter, wherein the gain attenuation-spectrum mapping table includes a mapping relationship between each gain of the optical fiber amplifier and one attenuation spectrum of the dynamic gain equalizer; obtaining a target gain of the optical fiber amplifier; determining a target attenuation spectrum in the gain attenuation-spectrum mapping table according to the target gain; and adjusting the current attenuation spectrum to the target attenuation spectrum.

Abstract: A method of labeling data and training a model is provided. The method includes obtaining a set of images. The set of images includes a first subset and a second subset. The first subset is associated with a first set of labels. The method also includes generating a set of pseudo labels for the set of images and a second set of labels for the second subset based on the first subset, the second subset, a first machine learning model, and a domain adaption model. The method further includes generating second machine learning model. The second machine learning model is generated based on the set of images, the set of pseudo labels, the first set of labels, and the second set of labels. The second set of labels is updated based on one or more inferences generated by the second machine learning model.

Abstract: Media scans to test the integrity of data stored in non-volatile storage are weighted to improve the efficiency of the scans and preserve operating bandwidth of the corresponding device.

Abstract: Embodiments relate to a three-dimensional semiconductor structure and a formation method thereof. The three-dimensional semiconductor structure includes: a substrate; and a device structure positioned on a top surface of the substrate. The device structure includes memory rows arranged at intervals along a first direction, each of the memory rows includes memory cells arranged at intervals along a second direction and a gap between adjacent two of the memory cells, and each of the memory cells includes a first stacked layer and a word line structure. The word line structure includes a first part positioned in the first stacked layer and a second part extending out of the first stacked layer along the first direction. At least adjacent two of the memory rows exist, and the second part of the memory cell in one of the memory rows extends into the gap in another one of the memory rows.

Abstract: This disclosure relates to multi specific antibodies (e.g., bi specific antibodies) or antigen binding fragments thereof. In one aspect, the multispecific antibodies or antigen-binding fragments thereof binds to cMET and/or EGFR, or a combination thereof. An antibody or antigen-binding fragment thereof that binds to cMET (tyrosine-protein kinase Met), comprising: a heavy-chain antibody variable domain (VHH) comprising complementarity determining regions (CDRs) 1, 2, and 3.

Abstract: An adaptive action evaluation method includes obtaining a basic information parameter of a user; obtaining a first evaluation threshold based on the basic information parameter, where the first evaluation threshold provides an evaluation standard; obtaining a key evaluation parameter of a current action of the user; determining an action completion evaluation of the user based on the key evaluation parameter and the first evaluation threshold; and adjusting the first evaluation threshold based on the action completion evaluation.

Abstract: This application provides a model training method in the artificial intelligence field. In a process of determining a loss used to update a model parameter, factors are comprehensively considered. Therefore, an obtained neural network has a strong generalization capability. The method in this application includes: obtaining a first source domain image associated with a target domain image and a second source domain image associated with the target domain image; obtaining a first prediction label of the first source domain image and a second prediction label of the second source domain image through a first to-be-trained model; obtaining a first loss based on the first prediction label and the second prediction label, where the first loss indicates a difference between the first prediction label and the second prediction label; and updating a parameter of the first to-be-trained model based on the first loss, to obtain a first neural network.

Abstract: CD19×CD3 bi-specific monovalent diabodies, and particularly, CD19×CD3 bi-specific monovalent Fc diabodies, are capable of simultaneous binding to CD19 and CD3, and are used in the treatment of hematologic malignancies.

Abstract: Disclosed herein is a method, comprising: capturing via an exposure a first image with a first radiation detector which comprises a first active area and a first dummy area, wherein the first dummy area is disposed between application-specific integrated circuit (ASIC) chips of the first radiation detector, and wherein the first image comprises (A) first regular picture elements corresponding to the first active area and (B) first dummy picture elements corresponding to the first dummy area; and determining values of the first dummy picture elements based on values of the first regular picture elements.

Abstract: The disclosure discloses a precursor with a transformed crystal form and a preparation method thereof. The preparation method includes: (1) heating a carbonate solution, a cobalt salt to allow a reaction, and spray adding a carbonate solution to allow a reaction to obtain a cobalt carbonate slurry; (2) allowing the slurry to stand, spray adding a cobalt salt and a carbonate solution, and spray adding a cobalt salt using a single spray head at a flow rate of 1 m3/h to 3 m3/h and a carbonate solution using no less than three spray heads each at a flow rate of 0.2 m3/h to 5 m3/h to obtain cobalt carbonate with a transformed crystal form; and (3) further spray adding a cobalt salt and a carbonate solution to the cobalt carbonate with a transformed crystal form, heating to allow a constant-temperature reaction, and washing and calcining a product.

Abstract: A method and system for identifying a time delay in an extraction and separation process of rare earth: a reference sequence and comparison sequences are generated based on component contents of multiple rare earth elements and multiple process variables, and then preprocessed to determine a grey correlation. A comparison sequence with a highest correlation with the reference sequence is determined. An original data matrix is formed by taking the comparison sequence as a process variable. A time-correlation data matrix is constructed based on the obtained time delay sequence, time base sequence, and original data matrix to generate a time-correlation analysis matrix. A matrix H? norm is used to quantitatively describe the characteristics of the time-correlation analysis matrix, so as to determine a time delay sequence corresponding to a maximum H? norm as a to-be-solved multi-time delay.

Abstract: A multi-phase voltage converter has a plurality of integrated circuits (ICs), and a controller. Each IC has a temperature report pin and a temperature sensing circuit, the controller has a temperature input pin connected to the temperature report pin of each of the plurality of ICs. The controller provides an acquiring command via the temperature input pin to all of the ICs. The acquiring command is capable of selecting one of the plurality of ICs to report an individual temperature.