Abstract: Method for predicting a stability of a steel cylinder including: in response to the steel cylinder tilting toward a seaward side at an arbitrary rotation point, obtaining a safety factor for the steel cylinder tilting toward the seaward side by determining an anti-tilt moment and a tilt moment when the steel cylinder is tilted to the seaward side; under a same rotation point, in response to determining that the steel cylinder is rotated toward a land side, determining the safety factor for the steel cylinder tilting toward the land side; taking a smaller safety factor as the safety factor under the rotation point; re-selecting a new rotation point, determining a safety factor corresponding to the new rotation point, and taking a safety factor with a smallest value among all rotation points as a final safety factor; and generating, based on the final safety factor, an anti-tilt instruction.

Abstract: The present invention relates to compounds, compositions, and methods for treating diseases or conditions by modulating (e.g., reducing) the level or activity of at least one of PIP4K2A, PIP4K2B, and PIP4K2C.

Abstract: A sensor includes a first electrode, a second electrode, a third electrode, a semiconductor film that connects the first electrode and the second electrode, and a solid electrolyte membrane that covers the first electrode, the second electrode, and the semiconductor film, in which the solid electrolyte membrane has an exposed surface exposed to an outside, and the third electrode is configured to be disposed at a position where when the exposed surface of the solid electrolyte membrane is in contact with a conductive liquid (Lq), it is possible to apply an electric field to the exposed surface of the solid electrolyte membrane through the conductive liquid (Lq).

Abstract: A federated learning method includes: obtaining a target federated sub-model of a target participating node, the target federated sub-model being obtained upon dividing up a federated model, the federated model comprising at least three federated sub-models, and the target federated sub-model comprising a model parameter and a target feature of the target participating node; obtaining a current network delay and preset instances of optimization of the target feature; determining current instances of optimization on the basis of the difference between the current network delay and a preset network delay corresponding to the preset instances of optimization; performing local optimization on the target feature according to the current instances of optimization; and performing encrypted interaction of an optimization result of the target feature with other participating nodes, so as to optimize a model parameter and determine a target model parameter of the target federated sub-model.

Abstract: A high-brightness picosecond laser system, comprising a fully polarization-maintaining fiber picosecond seed laser (1), a fiber collimator (2), a space isolator (3), a polarization splitting prism (5), a first-stage solid traveling wave amplifier (6), a second-stage solid traveling wave amplifier (7), and a third-stage solid traveling wave amplifier (8) which are sequentially arranged in the laser transmission direction. The first-stage solid traveling wave amplifier (6) is located on the transmission light side of the polarization splitting prism (5), the second-stage solid traveling wave amplifier (7) is located on the reflected light side of the polarization splitting prism (5), and the fiber collimator (2) is connected to the fully polarization-maintaining fiber picosecond seed laser (1) by means of a tail fiber.

Abstract: The present invention discloses a method for producing a hypereutectoid steel rail resistant to contact fatigue. The method includes performing molten iron desulphurization, converter smelting, LF refining, RH refining, continuous casting and billet heating, rolling and heat treatment after rolling to obtain a steel rail; the heat treatment after rolling includes performing accelerated cooling and air cooling on the center of a tread of a rail head, both sides of the rail head and the center of a rail bottom of the steel rail obtained after rolling, wherein the starting cooling temperature of the accelerated cooling is 650-900° C., the cooling rate is 1.0-5.0° C./s, and the final cooling temperature is 400-550° C.; and after reaching the final cooling temperature, the accelerated cooling is stopped and it is air-cooled to room temperature. The hypereutectoid steel rail has higher purity, better contact fatigue resistance and good wear resistance.

Abstract: A method for manufacturing a diamond substrate, the method being a method for producing a (111) oriented diamond crystal on an underlying substrate by epitaxial growth using hydrogen-diluted methane as a main source gas by a microwave plasma CVD method, a direct current plasma CVD method, a hot-filament CVD method, or an arc discharge plasma jet CVD method, in which a growth rate is less than 3.8 ?m/h. Thereby, a diamond crystal applicable to an electronic and magnetic device and a method to produce this crystal are stably provided in which the crystal with the NV axis with orientation and high-density NVC obtained by the CVD method under a predetermined condition is grown on a highly oriented (111) diamond base substrate obtained by the CVD method also under a predetermined condition.

Abstract: Disclosed are a hybrid dialkylphosphinate salt, a method for preparing same, and use thereof. The hybrid dialkylphosphinate salt is selected from at least one of the compounds represented by Formula (I). The hybrid dialkylphosphinate salt of Formula (I) provided herein features a low required loading level, high flame retardant efficiency for various polymers, and good thermal stability. The present invention overcomes the disadvantage of low flame retardant efficiency of diethylphosphinate in polymers as well as low thermal stability and large dust of dipropylphosphinate. The hybrid dialkylphosphinate salt of Formula (I) can be widely applied to flame retardant polymers which require high-temperature processing.

Abstract: Systems and methods for under-floor storage include a robotic retrieval system. The robotic retrieval system includes a robot disposed under an upper floor. The robot may retrieve and deposit objects in a space under the upper floor. A portal provides access to the space from above the upper floor. Objects are stored in locations within the space. The robot selectively locates and retrieves the objects.

Abstract: Novel programmable targeting sequences and applications thereof. The targeting sequences can be engineered for binding to proteins, polypeptides, and other macromolecules.

Abstract: An apparatus and method for implementing dynamic tactile feedback of a flexible object are disclosed. The apparatus enables recognition of a continuous change in stiffness of an object due to a dynamic response of the flexible object. The method enables recognition of such changes through control of the device. The method enables a user to continuously control the stiffness of a device used as a tool for haptic feedback. This further enables various virtual world sensations associated with virtual reality or augmented reality content to be expressed in direct relation to the length, shape, material, etc. of virtual objects, and also enables various virtual world sensations to be realized through such devices.

Abstract: The disclosure provides heme binding peptides and their use for treating disorders that can benefit from sequestering free heme.

Abstract: A multi-party privacy computing method and device based on semi-trusted hardware, wherein the method applied to semi-trusted hardware comprises the following steps: acquiring random number masks and random seeds of all user terminals; generating a garbled circuit seed according to the random seeds; generating a garbled circuit according to a predetermined circuit description and the garbled circuit seed, wherein the garbled circuit comprises garbled tables, wire labels and decoding information; sending the wire labels corresponding to the inputs of all user terminals to a user terminal corresponding to the semi-trusted hardware by using an oblivious transfer protocol; and sending the garbled table and the decoding information to the user terminal corresponding to the semi-trusted hardware, so that the user terminal can compute an output value according to the garbled tables, the decoding information and the wire label corresponding to the inputs of all user terminals.

Abstract: Disclosed herein are an image compression method and apparatus for machine vision. The image compression method includes determining a prediction mode for frames of an input image, generating a prediction frame and a residual image using an input frame, generating a reconstructed frame by adding the prediction frame to the residual image, extracting respective features of the input frame and the reconstructed frame, correcting the reconstructed frame based on a difference value between the extracted features and a bit rate of the residual image, and encoding the corrected frame.

Abstract: A farmland reference crop evapotranspiration prediction method based on uncertainty of meteorological factors, includes: S1. acquiring a set number of groups of weather forecast data of a prediction region within a preset time period; S2. inputting each group of weather forecast data into a Bayesian probability forecast system to obtain corrected weather forecast data; and S3. inputting each group of the corrected weather forecast data into a trained RBF neural network, and predicting to obtain a farmland reference crop evapotranspiration. In the present invention, the Bayesian probability forecast system is configured to correct the weather forecast data and eliminate uncertainty of weather forecast data to obtain the accurate reference crop evapotranspiration forecasted by the RBF neural network using these data.

Abstract: A photovoltaic array fault diagnosis method based on composite information is provided. The method includes: collecting and preprocessing composite information data of photovoltaic array working state, including image data and text data; using the image data of photovoltaic array working state to train a pre-established fault classification model of deep convolutional neural network, to thereby obtain an image fault classification model; using the text data of photovoltaic array working state to train a pre-established fault classification model based on a support vector machine, to thereby obtain a text fault classification model; fusing the image fault classification model and the text fault classification model by logistic regression algorithm to obtain a fusion model, and training the fusion model using the composite information data of photovoltaic array working state to thereby obtain the photovoltaic array fault diagnosis model.

Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Abstract: Disclosed is an analytical method for analyzing a test substance contained in a measurement sample, the method comprising: generating a data set based on a plurality of optical spectra acquired from a plurality of locations in the measurement sample; inputting the data set into a deep learning algorithm having a neural network structure; and outputting information on the test substance, on the basis of an analytical result from the deep learning algorithm.

Abstract: Disclosed are a demand management control method and a demand management control apparatus for inducing dynamic participation of a consumer in an energy consumption load management program. The demand management control method refers to a promotion method for expanding an active participation of a consumer through a dynamic order of charging power of a charging load device with respect to a load having a consumption characteristic in an energy accumulation form in a distribution network management area in which an energy charging supply device is installed, and distributes and manages a demand within an energy supply goal of the consumer through a participation promotion. Also, the demand management control method provides changed cost information to the consumer using an incentive through a demand management contribution weight according to an energy demand and supply status and encourages or promotes the dynamic participation of the consumer.

Abstract: Provided are a directional pattern calculation method and apparatus for a beam pointing adjustable antenna. In the design method, key control factors are quantized, for example, a arrangement and combination modes for a plurality of slot units and wave-controlled codes for conducting and cut-off states of a slot unit, and different combinations of slot units and a far-field directional pattern of a controlled array antenna are evaluated, so that electrical performance indicators of the array antenna can be further evaluated. Weighting calculation is implemented for a directional pattern of a beam pointing adjustable antenna. Key information such as a form of a slot unit and a arrangement and combination modes for slot units can be globally optimized.