Abstract: The present disclosure provides a kit and method for constructing a long-acting depression animal model. The present disclosure adopts Bacille Calmette-Guerin (BCG) (or Mycobacterium bovis (M bovis)) and low-dose pertussis toxin (PTX) for combined induction, which greatly reduces modeling cost. A mouse model constructed by the method of the present disclosure can clearly distinguish a time interval of pathological behaviors from a time interval of depression-like behaviors and has prominent face validity and predictive validity. The method of the present disclosure is simple and convenient and does not require a large number of tedious daily operations as the depression model construction by chronic unpredictable stress, chronic restraint stress, social defeat, mother-child separation, or the like. The mouse model of the present disclosure can provide a valuable long-term intervention window for research on antidepressant therapy.

Abstract: There are provided solutions for multiagent debate. In a method, a first and a second response representation are determined by a first and a second agent in a plurality of agents based on a first query representation for a query in a natural language, respectively, and the first and second response representations are convertible to a first and a second answer to the query in the natural language, respectively. A second query representation is obtained based on the first query representation, and at least one of the first and second response representations. A response representation is determined based on the second query representation by at least one of the first and second agents, and the response representation is convertible to an answer to the query in the natural language. These agents communicate in an embedding space without a conversion between a natural language format and an embedding format.

Abstract: A system for multi-modal multi-task processing includes a task representation component configured to determine a task representation element corresponding to a task representation framework that is used to define a content format for describing a to-be-processed task, and the task representation element including an element used to define task description information, an element used to define task input information, and an element used to define task output information; and based on the task representation element, acquire task description information, task input information, and task output information corresponding to each of to-be-processed tasks in different modalities; a data conversion component configured to determine an encoding sequence corresponding to each of the to-be-processed tasks; and a data processing component configured to process each of the to-be-processed tasks based on the encoding sequence corresponding to each of the to-be-processed tasks to obtain a task processing result correspon

Abstract: The present disclosure provides a kit and method for constructing a long-acting depression animal model. The present disclosure adopts Bacille Calmette-Guerin (BCG) (or Mycobacterium bovis (M. bovis)) and low-dose pertussis toxin (PTX) for combined induction, which greatly reduces modeling cost. A mouse model constructed by the method of the present disclosure can clearly distinguish a time interval of pathological behaviors from a time interval of depression-like behaviors and has prominent face validity and predictive validity. The method of the present disclosure is simple and convenient and does not require a large number of tedious daily operations as the depression model construction by chronic unpredictable stress, chronic restraint stress, social defeat, mother-child separation, or the like. The mouse model of the present disclosure can provide a valuable long-term intervention window for research on antidepressant therapy.

Abstract: A pre-training service system is provided. The pre-training service system includes: a producer service module configured to provide a model producer with a model pre-training process for a pre-training dataset and generate a corresponding pre-training model; an optimizer service module configured to optimize the pre-training model according to a fine-tuning dataset provided by a model optimizer and obtain an optimized model; and a consumer service module configured to provide a model consumer with a service interface for the pre-training model or the optimized model, wherein the pre-training model or the optimized model is configured to perform inference on data provided by the model consumer and output a model prediction result.

Abstract: A heat insulation and preservation composite board includes a first panel layer and a heat insulation and preservation layer. The heat insulation and preservation layer and the first panel layer are integrally formed. The first panel layer is a fiber-reinforced resin-based composite sheet, a metal plate, a cement plate, a calcium silicate plate, or a gypsum plate. The heat insulation and preservation layer is a fiber-reinforced aerogel felt. A preparation method of the heat insulation and preservation composite board includes: (1) laying the fiber-reinforced aerogel felt flat; (2) laying the first panel layer flat on the upper surface of the fiber-reinforced aerogel felt; (3) performing a hot-press molding process to obtain the heat insulation and preservation composite board.

Abstract: Embodiments of this application provide an image generation system and method. In an exemplary manufacturing industry scenario, a style requirement of a product category in a manufacturing industry is automatically captured according to user behavior data and product description information associated with the product category. Based on these data, a style description text may be generated and converted to product images by using a text prediction-based image generation model. The product images are further screened by using an image-text matching model, to obtain a product image with high quality. This process covers from style description text mining to text-to-image prediction to image quality evaluation. It provides an automation product image generation capability for the manufacturing industry, shorten a cycle of designing and producing the product image in the manufacturing industry, and improve production efficiency of the product image.

Abstract: A method and an apparatus for model training are provided. The method for model training includes: training a first model to obtain a parameter set of the trained first model, in which first layers in the first model share the same weight parameters; copying the parameter set for multiple times as weight parameters of second layers of a second model; and training the second model to realize model convergence. The first model and the second model have the same computation graph, and the number of the second layers is equal to or greater than the number of the first layers.

Abstract: Embodiments of this application provide an image generation system and method. In an exemplary manufacturing industry scenario, a style requirement of a product category in a manufacturing industry is automatically captured according to user behavior data and product description information associated with the product category. Based on these data, a style description text may be generated and converted to product images by using a text prediction-based image generation model. The product images are further screened by using an image-text matching model, to obtain a product image with high quality. This process covers from style description text mining to text-to-image prediction to image quality evaluation. It provides an automation product image generation capability for the manufacturing industry, shorten a cycle of designing and producing the product image in the manufacturing industry, and improve production efficiency of the product image.

Abstract: A machine learning algorithm is trained to learn to cluster a plurality of original-destination routes in a network for transporting cargo into a plurality of clusters based on similarities of the original-destination routes, and to learn to cluster the plurality of clusters into a plurality of subgroups based on customer behavior. Influencing criteria associated with each of the subgroups may be determined and based on the influencing criteria, a price elasticity curve for each of the subgroups may be generated. Based on the price elasticity curve and current network traffic, cargo transportation price associated with each of the subgroups may be determined.

Abstract: The disclosure provides an application of an anthocyanin extract in preparing a pharmaceutical composition for preventing and treating cardiac toxicity induced by Anthracyclines and the pharmaceutical composition, wherein the pharmaceutical composition comprises an effective dose of the anthocyanin extract; and the anthocyanin extract refers to an extract obtained from mature fruits of a zygophyllaceous nitraria plant and having a total anthocyanin content greater than 700 mg CGE/g and a total antioxidant capacity greater than 200 mg TE/g. Cytobiology and molecular biology studies prove that the anthocyanin extract has obvious protection effect to cardiomyocyte toxicity damage induced by anthracyclines and may be used for preventing and alleviating cardiotoxicity of an antharcyclines anticancer drug, thereby expanding a clinical application of the antharcyclines anticancer drug and relieving toxic and side effects brought by the antharcyclines anticancer drug to a patient and pain of a chemotherapy patient.

Abstract: A test circuitry and a method for testing the same and a test system are provided. The test circuitry includes: a test signal input end, configured to input an initial test signal; a signal output end, configured to output a target test signal; and a signal shaping circuitry coupled to the test signal input end and the signal output end, configured to remove a noise signal from the initial test signal to obtain the target test signal.

Abstract: The present disclosure relates to a method and system for performing aging process on the transistor in the display panel. A method for performing aging process on a transistor in a display panel, comprising: obtaining an initial characteristic curve of the transistor; determining an initial cutoff voltage range of the transistor according to the obtained initial characteristic curve; determining a gate-source voltage and a drain-source voltage required by the transistor according to the initial cutoff voltage range, so as to increase an cutoff voltage range of the transistor; and performing aging process on the transistor according to the determined required gate-source voltage and drain-source voltage.

Abstract: A defect detection circuit and a defect detection method for a light-emitting element, a display driving device, a display device, and a defect detection method for the display device are provided. The defect detection circuit includes a power source signal adjustment sub-circuit, a data signal adjustment sub-circuit, a first initial signal adjustment sub-circuit, a second initial signal adjustment sub-circuit and a storage capacitor connected to a control end of a driving transistor. The storage capacitor is configured to control the driving transistor to be turned off under the effect of a power source signal, a data signal and an initial signal, to enable the second initial signal adjustment sub-circuit to apply the initial signal to a light-emitting sub-circuit, thereby to enable the light-emitting sub-circuit to emit light. The display driving device includes the defect detection circuit.

Abstract: A display substrate includes: a display driving signal line; and at least one set of testing pads, wherein each set of the testing pads includes: a plurality of light-on testing pads arranged successively and connected to the display driving signal line; and two pin-miss testing pads electrically connected to one another while not connected to the display driving signal line.

Abstract: A detecting apparatus and method, repairing apparatus and method, and repairing system of AMOLED display device are provided. The detecting apparatus includes: an illuminating device for sequentially illuminating a plurality of detection regions of a screen of the AMOLED display device, the screen being divided into the plurality of detection regions, each of the detection regions including at least one light-emitting unit; a current detecting device for acquiring a detection current which is a sum of driving currents of the light-emitting unit in the detection region being illuminated; and a judging device for judging whether the detection region corresponding to the detection current is a defective region according to the detection current. The apparatus can detect luminance uniformity of the AMOLED display device. The detection efficiency is high, the detection standard is unified and the detection accuracy is high.

Abstract: A set of measurement voltages having different voltage values are subsequently inputted to a measurement voltage input terminal of the pixel driving circuit, a light emitting state of a light emitting device under each measurement voltage is detected, and it is determined whether a storage capacitor in the pixel driving circuit is normal based on the light emitting state of the light emitting device.

Abstract: The present disclosure relates to a power supply device for a display panel, a manufacturing method, a power supplying method, and a display device. The power supply device may include: a first line surrounding the display panel and electrically connected to sub-pixels of the display panel; at least one first power supply terminal disposed at a first side of the display panel and connected to a first line segment of the first line located at the first side of the display panel; at least one second power supply terminal connected to a second line segment of the first line located at a second side of the display panel to compensate for a voltage drop of the first power supply terminal on the first line. The first side and the second side of the display panel are opposite sides of the display panel.

Abstract: The present disclosure relates to a computer system configured establish and utilize a database for online ad realization prediction in an ad display platform associated with N parties, wherein N is a positive integral greater than 1. The computer system is configured obtain a party hierarchy for each of the N parties including a plurality of features of the party; select a target ad display event including N features, each of the N features corresponding to a node in a party hierarchy; obtain a prior probability reflecting an unconditional probability of ad realization occurrence at the target ad display event among all possible ad display events; for each of the N features: determine a marginal prior probability by decomposing components associated with the other N?1 features from the prior probability; determine a marginal posterior probability based on the marginal prior probability; and save the marginal posterior probability in the corresponding node of the party hierarchy.

Abstract: The present disclosure provides a signal loading method and a signal generator. The signal loading method includes: loading a first pair of voltage signals to at least one pair of separate signal channels for a time period, respectively, wherein the first pair of voltage signals have a first voltage difference therebetween; and determining whether a short circuit occurs in the at least one pair of signal channels within the time period, and if it is determined that no short circuit occurs in the at least one pair of signal channels within the time period, loading a second pair of voltage signals having a second voltage difference therebetween to the at least one pair of signal channels at the end of the time period. The second voltage difference is greater than the first voltage difference.