Abstract: A photoelectric detection model transfer and sharing method and an Internet of Things monitoring and evaluation system based on a cloud service are provided. The transfer and sharing method includes: invoking a temperature compensation model and a spectrum transfer model to calibrate spectrum information of agricultural product samples, and invoking a detection model to compute the calibrated spectrum information to obtain detection results of the agricultural product samples. The Internet of Things monitoring and evaluation system calibrates spectrum information by using a spectrum transfer and sharing method, invokes a detection model for computing, and returns detection results to a detection terminal in real time, thereby realizing remote monitoring and evaluation of the quality of agricultural products.

Abstract: The present application relates to a lexicon learning-based heliumspeech unscrambling method in saturation diving. In a system including divers, a correction network, and an unscrambling network, a common working language lexicon for saturation diving operation is established and is read by the divers respectively in different environments, to generate supervision signals and vector signals of the correction network, and the correction network learns heliumspeeches of the different divers at different diving depths to obtain a correction network parameter, and corrects a heliumspeech of a diver to obtain a corrected speech; and the unscrambling network learns the corrected speech and completes unscrambling of the heliumspeech.

Abstract: A robot scheduling method. Robots include a cleaning robot for performing cleaning operations in a cleaning region and a conveying robot for transporting the cleaning robot in an aisle region. The robot scheduling method includes a task generating step, a task issuing step, a route planning step, a travel controlling step, and a docking controlling step.

Abstract: An electric roasting machine includes a housing defining a cavity having an upper opening, a heating device installed in the cavity, and a grill located at the opening of the cavity. The grill includes a carrying part extending into the cavity and located in a region covered by thermal radiation of the heating device.

Abstract: A labeling method is provided. In the method, target image data of a target image is acquired from an offline storage device. The target image data is encrypted based on a first target account. A permission to load the target image data is verified based on a second target account logged in to a labeling client. The target image is loaded in the labeling client in response to the permission to load the target image being verified when the second target account logged in to the labeling client matches the first target account. A label for the target image is received. Further, the label for the target image is transmitted to a server. The server is configured to store the label in association with the target image. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A holothurian-derived active peptide with immune activity, a preparation method and an application thereof are provided in the present disclosure, belonging to the field of biotechnology. The amino acid sequence of the holothurian-derived active peptide is shown in SEQ ID NO.1. The amino acid sequence of the holothurian-derived immunocompetent peptide is obtained using separation and purification techniques and mass spectrometry identification techniques with the help of the holothurian protein database, and the interaction of the immunocompetent peptide with the membrane recognition receptor (toll-like receptor 2) is explored by molecular docking technique and multiple rounds of screening, and the in vitro immunological activity of the peptide is verified by solid-phase synthesis and RAW264.7 cell model.

Abstract: The present application discloses a method and a system for saturation diving heliumspeech unscrambling based on multi-objective optimization. In a system including a diver and a filter at least, a working language phonetic symbol library and a common working word library for divers are constructed. The divers read them one by one, and a phonetic symbol standard speech library, a phonetic symbol heliumspeech library and a common working word speech library are generated. The filter uses the multi-objective optimization algorithm to design its impulse response coefficients, corrects and unscrambles the tagged and sampled heliumspeech signal word by word, and continuously updates the impulse response coefficients to complete the perfect heliumspeech unscrambling.

Abstract: The present application discloses a method and a system for saturation diving heliumspeech unscrambling based on multi-objective optimization. In a system including a diver and a filter at least, a working language phonetic symbol library and a common working word library for divers are constructed. The divers read them one by one, and a phonetic symbol standard speech library, a phonetic symbol heliumspeech library and a common working word speech library are generated. The filter uses the multi-objective optimization algorithm to design its impulse response coefficients, corrects and unscrambles the tagged and sampled heliumspeech signal word by word, and continuously updates the impulse response coefficients to complete the perfect heliumspeech unscrambling.

Abstract: The present application relates to a lexicon learning-based heliumspeech unscrambling method in saturation diving. In a system including divers, a correction network, and an unscrambling network, a common working language lexicon for saturation diving operation is established and is read by the divers respectively in different environments, to generate supervision signals and vector signals of the correction network, and the correction network learns heliumspeeches of the different divers at different diving depths to obtain a correction network parameter, and corrects a heliumspeech of a diver to obtain a corrected speech; and the unscrambling network learns the corrected speech and completes unscrambling of the heliumspeech.

Abstract: A preparation method and use of a green fluorescent transparent ceramic are disclosed. The preparation method includes: weighing, according to a stoichiometric ratio, elements present in Ca3-x-yCexAySc2-xBzSi3-mCmO12, in forms of oxides, carbonates or nitrates as raw materials; mixing the raw materials, annealing, melting at a high temperature, cooling and annealing at a low temperature; putting the glass into a high-temperature furnace, holding, raising the temperature, and performing crystallization and densification sintering; finally cutting, reducing and surface-polishing, where A is at least one from the group consisting of Lu, Y, Gd, La and Na; B is at least one from the group consisting of Zr, Hf and Mg; C is at least one from the group consisting of Al and P; x, y, z and m satisfy 0.001?x?0.06, 0?y?0.06, 0?z?0.06 and 0?m?0.3, respectively.

Abstract: In a method for designing a high-rigidity blade based on stochastic isogeometric analysis, the models of stochastic fields of the material property and the external load of the blade are established based on manufacturing conditions and service environment of the blade; an optimization model of the blade is established according to high-rigidity design requirements of the blade and a constraint condition of lift-drag ratio, which is then solved. In the solution procedure, a stochastic isogeometric analysis method is used to calculate the stochastic displacement of the blade under the influence of the randomness of the material property and the external load, and the maximum lift-drag ratio of the blade airfoil is also calculated, based on which the fitness values of individuals in the current population are calculated, so that the high-rigidity design of the blade is realized in the premise of ensuring the lift-drag ratio.

Abstract: Antibodies, antigen-binding fragments and polypeptides that bind to HER2 are disclosed, as well as nucleic acids and vectors encoding the same. Also provided are cells comprising the antibodies, antigen-binding fragments, polypeptides, nucleic acids and vectors, methods of making such molecules, and the use of such molecules for therapeutic applications.

Abstract: A cleaning system and a cleaning method configured for cleaning task of solar panels are provided. The cleaning system includes an operation region, cleaning robots, shuttle robots, and a data processing system. The cleaning method includes a first carrying step, a cleaning step, and a second carrying step.

Abstract: The present disclosure relates to the technical field of alien invasive species control, in particular to use of 4-nitro-3-(trifluoromethyl)phenol in killing or controlling Pomacea canaliculata, a method for killing or controlling the Pomacea canaliculata, and a molluscicide. The present disclosure provides use of 4-nitro-3-(trifluoromethyl)phenol in killing or controlling Pomacea canaliculata. The 4-nitro-3-(trifluoromethyl)phenol can effectively control the Pomacea canaliculata with a low cost. In the present disclosure, the results of examples show that: the 4-nitro-3-(trifluoromethyl)phenol has an obvious killing effect on the Pomacea canaliculata, showing a control effect comparable to that of niclosamide, a commonly-used molluscicide for killing the Pomacea canaliculata.

Abstract: A reliability-based topology optimization design method for a part structure considering bounded hybrid uncertainties, includes the following steps: considering the uncertainties in the manufacture and service of the part structure, describing an external load with insufficient samples and a material property with sufficient samples as an interval variable and a bounded probabilistic variable respectively; discretizing a design domain of the part structure, setting the physical and geometric constraints, and establishing a reliability-based topology optimization design model; solving by a moving asymptote algorithm: decoupling the probabilistic and interval uncertainties, and determining the worst working condition by using gradients of constraint performance functions; defining a performance fluctuation under the worst working condition and calculating reliability of constraint performance; and finally, calculating the gradients of objective and constraint functions with respect to the design variables for i