Abstract: A target tracking method is provided for a computer device. The method includes determining a target candidate region of a current image frame; capturing a target candidate image matching the target candidate region from the current image frame; determining a target region of the current image frame according to an image feature of the target candidate image; determining motion prediction data of a next image frame relative to the current image frame by using a motion prediction model and according to the image feature of the target candidate image; and determining a target candidate region of the next image frame according to the target region and the motion prediction data.

Abstract: A method for measuring drop time of a control rod cluster integrated with a rod position measurement device is provided, wherein the method is used to measure the drop time of each control rod cluster, and includes: Si, monitoring a voltage Ua of coils in Group A to capture a rod cluster drop signal; S2, searching a point (tmax, Vmax) with a maximum drop speed or with a local maximum drop speed; S3, retroactively calculating, from tmax, an end of a time period T4 when the control rod cluster starts to drop; S4, retroactively searching, from a minimum value point of a drop reference signal DROPref, a start of the time period T4 when the drop reference signal DROPref drops from a maximum value to 33% thereof; and S5, determining, from tmax forward, a time point t6 when a drop speed of the control rod cluster is lower than 0.

Abstract: This application relates to a method and an apparatus for detecting facial key points, a computer device, and a storage medium including: acquiring a to-be-detected face image from a current frame; determining partial images in the to-be-detected face image, each partial image including one or more facial key points; determining, within each of the partial images, candidate points of the one or more facial key points corresponding to the partial image, respectively; and jointly constraining the candidate points in the partial images to determine a set of facial key points from the candidate points for the to-be-detected face image. For the partial images in the entire to-be-detected face image, the candidate points of the facial key points corresponding to the partial images are respectively determined. Therefore, a calculation amount may be reduced, and the efficiency of determining the candidate points of the facial key points is improved.

Abstract: Provided is a method for determining a quantity of a calcium line fed into molten steel based on a minimum Gibbs free energy principle, which relates to an calcium treatment process of molten steel refining for iron and steel metallurgy. The method includes: establishing a connection with a database to read composition information and a temperature of the molten steel in an actual production process; calculating contents of inclusions in the molten steel according to the read composition information; calculating a required quantity of calcium of the molten steel to control the inclusions in a target area under a current condition; and calculating a length of the fed calcium line according to parameter information of the calcium treatment process and the required quantity of calcium of the molten steel. With the method, a scientific and reasonable guidance is provided for the calcium treatment process in the actual production process.

Abstract: A method for establishing a shared key, includes: determining, by a first device, a braid group Bn having an index n as a public key; selecting, by the first device, a plurality of elements from the braid group Bn to generate a subgroup P, and selecting an element x from the subgroup P as a private key; receiving, by the first device, {y?1?1y,y?1?2y, . . . , y?1?n?1y} sent from a second device; sending, by the first device, {x?1?1x,x?1?2x, . . . , x?1?n?1x} calculated according to the first private key and each element of the public key, to the second device, to allow the second device to replace all occurrences of ?k in the second private key y with x??kx to obtain fy(x?1?1x,x?1?2x, . . . , x?1?n?1x)=x?1yx and to obtain the shared key x?1y?1xy by calculation; and replacing all ?k in the first private key of the first device with y?1?ky to obtain fx(y?1?1yy?1?2y, . . . , y?1?n?1y)=y?1xy, and calculating to obtain the shared key x?1y?1xy.

Abstract: The present invention provides a snake venom thrombin marker peptide of Agkistrodon Halys Pallas and an application of the snake venom thrombin-like enzyme in identifying species of Hemocoagulase for Injection. The application includes the following steps of: dissolving a to-be-detected sample and a reference substance of the marker peptide respectively to prepare a test solution and a reference solution, and conducting alkylation reduction on the test solution and the reference solution with dithiothreitol and iodoacetamide; after diluting products with an ammonium bicarbonate solution, adding enzyme for hydrolysis; and after enzymolysis is finished, conducting centrifugation at a high speed, and injecting a supernatan into a liquid chromatography-mass spectrometer for analysis. This method is simple, convenient and rapid, is strong in specificity, fills the gap in identifying the source of species of the snake venom thrombin-like enzyme of Agkistrodon Halys Pallas and improves the quality control level.

Abstract: Disclosed are specifically a marker polypeptide of a Bothrops atrox-like thrombin and a method thereof for detecting species source and content of a snake venom-like thrombin and an application, relating to the technical field of snake venom detection. An amino acid sequence of the marker polypeptide is EAYNGLPAK (SEQ ID NO:1), and the marker polypeptide may be used to detect the species source and content of the snake venom-like thrombin in a sample. The marker polypeptide of the present disclosure may play an important role in characterizing the species source and content of the snake venom-like thrombin in the sample, and fill in the blank of a quality standard of snake venom of the Bothrops atrox.

Abstract: The present disclosure relates to implementing, updating, and managing operation of a client agent on a client device (e.g., computing device, virtual device) in a way that enables isolation of features and functionality while also allowing the client agent to self-heal and intelligently update discrete features thereon. The client agent includes a collection of plugins that are isolated and run in accordance with respective plugin policies. The client agent makes use of device-level, agent-level, and plugin-level health monitors that collectively monitor a health status of discrete components of the client agent in a way that enables the client agent to selectively discontinue scheduling certain plugins without interrupting functionality of other plugins or of the client agent as a whole. Indeed, features described herein enable the client agent to intelligently update and self-heal with respect to individual plugins based on information obtained by the respective health monitors.

Abstract: Disclosed are specifically a marker polypeptide of a Bothrops atrox-like thrombin and a method thereof for detecting species source and content of a snake venom-like thrombin and an application, relating to the technical field of snake venom detection. An amino acid sequence of the marker polypeptide is EAYNGLPAK (SEQ ID NO:1), and the marker polypeptide may be used to detect the species source and content of the snake venom-like thrombin in a sample. The marker polypeptide of the present disclosure may play an important role in characterizing the species source and content of the snake venom-like thrombin in the sample, and fill in the blank of a quality standard of snake venom of the Bothrops atrox.

Abstract: The present invention relates to the technical field of chemical analysis and quantitative detection, in particular to a quantitative detection method for snake venom thrombin-like enzyme (SVTLE) from Agkistrodon halys pallas. The quantitative detection method for the SVTLE includes the following steps of taking a reference substance of marker peptide for the SVTLE from Agkistrodon halys pallas with an amino acid sequence of LDSPVSNSAHIAPLSLPSSAPSVGSVCR, and preparing a series of reference solutions with different concentrations; adding the reference solutions in test solutions respectively for enzymolysis, and then taking a supernatant after enzymolysis as a series of solutions to be detected; and adding the solutions to be detected in a liquid chromatogram-mass spectrometer, and then selecting a qualitative ion pair and a quantitative ion pair to detect contents of marker peptide in the solutions to be detected.

Abstract: A method for predicting a yield of calcium in a calcium treatment process based on deep neural network as provided relates to a calcium treatment process of molten steel refining in the field of iron and steel metallurgy, and includes steps of: obtaining production and operation data information of each of charges and thereby constructing a dataset; training and testing a deep neural network based on constructed dataset to establish a prediction model; and based on the prediction model, predicting and calculating current yield of calcium by taking actual production and operation data information of each charge as input. The method can predict the yield of calcium in the calcium treatment process, is favorable for accurately controlling a calcium content of steel, can stably control the calcium treatment process, improve the calcium treatment effect, improve the product quality, and ensure the production stability.

Abstract: A method for predicting a yield of calcium in a calcium treatment process based on deep neural network as provided relates to a calcium treatment process of molten steel refining in the field of iron and steel metallurgy, and includes steps of: obtaining production and operation data information of each of charges and thereby constructing a dataset; training and testing a deep neural network based on constructed dataset to establish a prediction model; and based on the prediction model, predicting and calculating current yield of calcium by taking actual production and operation data information of each charge as input. The method can predict the yield of calcium in the calcium treatment process, is favorable for accurately controlling a calcium content of steel, can stably control the calcium treatment process, improve the calcium treatment effect, improve the product quality, and ensure the production stability.

Abstract: The present invention relates to the field of chemical analysis detection and application, in particular to a marker peptide of snake venom thrombin-like enzymes (SVTLEs) from Agkistrodon Halys Pallas and an application thereof. The amino acid sequence of the marker peptide of snake venom thrombin-like enzymes (SVTLEs) from Agkistrodon Halys Pallas is TLCAGVMEGGIDTCNR. Characterizing the source of species and a content of the SVTLEs in a to-be-detected sample by using the marker peptide includes the following steps of: pretreating the to-be-detected sample by trypsin through enzymolysis, and taking a supernatant of an enzymolysis liquid as a test solution; and injecting the test solution and a reference solution into a liquid chromatography-mass spectrometer, and selecting a qualitative ion pair and a quantitative ion pair for detecting the source of species and a content of the SVTLEs in the to-be-detected sample.

Abstract: A method for establishing a shared key, includes: determining, by a first device, a braid group Bn having an index n as a public key; selecting, by the first device, a plurality of elements from the braid group Bn to generate a subgroup P, and selecting an element x from the subgroup P as a private key; receiving, by the first device, {y?1?1y,y?1?2y, . . . , y?1?n?1y} sent from a second device; sending, by the first device, {x?1?1x,x?1?2x, . . . , x?1?n?1x} calculated according to the first private key and each element of the public key, to the second device, to allow the second device to replace all occurrences of ?k in the second private key y with x??kx to obtain fy(x?1?1x,x?1?2x, . . . , x?1?n?1x)=x?1yx and to obtain the shared key x?1y?1xy by calculation; and replacing all ?k in the first private key of the first device with y?1?ky to obtain fx(y?1?1yy?1?2y, . . . , y?1?n?1y)=y?1xy, and calculating to obtain the shared key x?1y?1xy.

Abstract: The present invention relates to the field of chemical analysis detection and application, in particular to a marker peptide of snake venom thrombin-like enzymes (SVTLEs) from Agkistrodon Halys Pallas and an application thereof. The amino acid sequence of the marker peptide of snake venom thrombin-like enzymes (SVTLEs) from Agkistrodon Halys Pallas is TLCAGVMEGGIDTCNR. Characterizing the source of species and a content of the SVTLEs in a to-be-detected sample by using the marker peptide includes the following steps of: pretreating the to-be-detected sample by trypsin through enzymolysis, and taking a supernatant of an enzymolysis liquid as a test solution; and injecting the test solution and a reference solution into a liquid chromatography-mass spectrometer, and selecting a qualitative ion pair and a quantitative ion pair for detecting the source of species and a content of the SVTLEs in the to-be-detected sample.

Abstract: The present invention provides a snake venom thrombin marker peptide of Agkistrodon Halys Pallas and an application of the snake venom thrombin-like enzyme in identifying species of Hemocoagulase for Injection. The application includes the following steps of: dissolving a to-be-detected sample and a reference substance of the marker peptide respectively to prepare a test solution and a reference solution, and conducting alkylation reduction on the test solution and the reference solution with dithiothreitol and iodoacetamide; after diluting products with an ammonium bicarbonate solution, adding enzyme for hydrolysis; and after enzymolysis is finished, conducting centrifugation at a high speed, and injecting a supernatan into a liquid chromatography-mass spectrometer for analysis. This method is simple, convenient and rapid, is strong in specificity, fills the gap in identifying the source of species of the snake venom thrombin-like enzyme of Agkistrodon Halys Pallas and improves the quality control level.

Abstract: The present invention relates to the technical field of chemical analysis and quantitative detection, in particular to a quantitative detection method for snake venom thrombin-like enzyme (SVTLE) from Agkistrodon halys pallas. The quantitative detection method for the SVTLE includes the following steps of taking a reference substance of marker peptide for the SVTLE from Agkistrodon halys pallas with an amino acid sequence of LDSPVSNSAHIAPLSLPSSAPSVGSVCR, and preparing a series of reference solutions with different concentrations; adding the reference solutions in test solutions respectively for enzymolysis, and then taking a supernatant after enzymolysis as a series of solutions to be detected; and adding the solutions to be detected in a liquid chromatogram-mass spectrometer, and then selecting a qualitative ion pair and a quantitative ion pair to detect contents of marker peptide in the solutions to be detected.

Abstract: A method of establishing an anti-attack public key cryptogram includes (1) two parties select a braid group Bn with n?7, and Bn=?1, ?2, . . . , ?n?1| ?i?j=?j?i, |i?j|?2, ?i?i+1?i=?i+1?i?i+1, 1?i?n?2, (2) the two parties select two subgroups A and B in Bn generated from a1, a2, . . . , ak and b1, b2, . . . , bm respectively, (3) the first party selects an element x=x (a1, a2, . . . , ak)?A as a first private key, and sends x?1b1x, x?1b2x, . . . , x?1bmx to the second party, (4) the second party selects an element y=y (b1, b2, . . . , bm)?B as a second private key, and sends y?1a1y, y?1a2y, . . . , y?1aky to the first party, (5) the first party obtains KA=x?1x(y?1a1y, y?1a2y, . . . , y?1aky)=x?1y?1xy, (6) the second party obtains y?1y(x?1b1x, x?1b2x, . . . , x?1bkx)=y?1x?1yx, and calculates to obtain KB=(y?1x?1yx)?1=x?1y?1xy, thereby reaching a shared secret key K=KA=KB.