Abstract: The present disclosure relates to a method, apparatus, electronic device and storage medium for presentation of a matching scheme. The method comprises: acquiring a set of matching schemes; transmitting, to a first terminal, attribute information of matching schemes in the set of matching schemes, so that the first terminal displays attribute information of matching schemes comprised in the set of matching schemes; in response to a selection request for one of matching schemes transmitted by the first terminal, determining the selected matching scheme as a matching scheme to be explained; in response to a presentation request for the matching scheme to be explained that is transmitted by a second terminal, transmitting attribute information of the matching scheme to be explained to the second terminal, so that the second terminal presents a target information streaming page comprising at least a part of attribute information of the matching scheme to be explained.

Abstract: A ZSM-23 zeolite and a process for preparing the same and use thereof are provided. The total acid amount of the ZSM-23 zeolite is 0.05-0.25 mmol/g, preferably 0.06-0.22 mmol/g, more preferably 0.06-0.20 mmol/g. The strong acid content of the ZSM-23 zeolite is 5-33%, preferably 7-33%, more preferably 9-33%, or further preferably 7-31%, further more preferably 10-28% of the total acid amount. The strong acid refers to an acid having a desorption temperature of 350° C. or higher in an NH3 temperature programmed desorption (NH3-TPD). The ZSM-23 zeolite has a low strong acid content.

Abstract: A ZSM-23 zeolite and a preparation process thereof are provided. The pore volume of mesopores having a pore size of 3-8 nm of the zeolite is 45-90% of the total pore volume of the zeolite. The zeolite has a relative crystallinity of 95-120% and a relative crystallinity retention of 95-100% after a hydrothermal treatment with steam for 2 hours at 600° C. The process for preparing the zeolite includes the following steps: (1) preparing or selecting a silicon source for preparing the ZSM-23 zeolite, such as amorphous silica; (2) performing an alkali treatment on the silicon source for preparing the ZSM-23 zeolite such as amorphous silica mentioned in step (1); and (3) preparing the ZSM-23 zeolite by using the alkali-treated amorphous silica as the silicon source. The ZSM-23 zeolite has a rich mesoporous structure and a good hydrothermal stability.

Abstract: In one set of embodiments, a computer system can determine that one or more attacks have been or are in the process of being perpetrated against an anomaly detection system, where the anomaly detection system comprises a set of machine learning (ML) models trained to detect anomalous application programming interface (API) call behavior in a microservice-based application based on API call traces collected from the application. In response to this determination, the computer system can initiate one or more actions for securing the anomaly detection system against the one or more attacks.

Abstract: In one set of embodiments, a computer system can receive one or more application programming interface (API) call traces comprising metadata of API calls made by an application and can extract features from the one or more API call traces, the extracting resulting in one or more feature vectors. The computer system can then provide the one or more feature vectors as input to one or more machine learning (ML) models, where the one or more ML models are configured to generate a prediction for each of the one or more API call traces indicating whether the API call corresponding to the API call trace is normal or anomalous.

Abstract: In one set of embodiments, a computer system can receive one or more application programming interface (API) call traces comprising metadata of API calls made by a microservice-based application and can evaluate the one or more API call traces against a baseline of normal API call behavior for the application. The computer system can then generate, based on the evaluation, a prediction for each of the one or more API call traces indicating whether the API call corresponding to the API call trace is normal or anomalous.

Abstract: A sputtering method includes one or more sputtering processes. Each sputtering process includes in a first pre-sputtering phase, sputtering a target material on a baffle plate configured to shield a substrate; in a second pre-sputtering phase, sputtering a target material compound on the baffle plate; and in a main sputtering phase, sputtering the target material compound on the substrate. The first pre-sputtering phase is used to adjust a sputtering voltage for the main sputtering phase.

Abstract: A sputtering method includes one or more sputtering processes. Each sputtering process includes in a first pre-sputtering phase, sputtering a target material on a baffle plate configured to shield a substrate; in a second pre-sputtering phase, sputtering a target material compound on the baffle plate; and in a main sputtering phase, sputtering the target material compound on the substrate. The first pre-sputtering phase is used to adjust a sputtering voltage for the main sputtering phase.

Abstract: The disclosure relates to a system and a method for disposing background music and sound effects based on image processing and semantic analysis. The method includes determining the environment and emotional attributes of a text semantics in a reading page by analyzing and processing an acquired reading page image, and selecting music and sound material to synthesize reading background music and sound effects according to the text semantics, so as to achieve sound enhancement in the reading environment. The system includes an image acquisition device for acquiring a reading image of a user, and a processing device having an operation unit for performing the method.

Abstract: The disclosure relates to a system and a method for disposing background music and sound effects based on image processing and semantic analysis. The method includes determining the environment and emotional attributes of a text semantics in a reading page by analyzing and processing an acquired reading page image, and selecting music and sound material to synthesize reading background music and sound effects according to the text semantics, so as to achieve sound enhancement in the reading environment. The system includes an image acquisition device for acquiring a reading image of a user, and a processing device having an operation unit for performing the method.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing an action-based image searching and identification system. An embodiment operates by receiving an image and a query associated with the image. From the image an object associated with the query is identified. A feature of the identified object and associated with the query is determined. One of a plurality of possible actions is selected based on the feature. A result of the query including the selected action is returned.

Abstract: A method of establishing a conference call includes extracting conference identification information from event data. The conference identification information including a set of candidate conference numbers, a set of candidate access codes, and a set of dialing format tokens. The conference identification information is classified into a plurality of tiers based on whether the set of candidate conference numbers includes a valid conference number, whether the set of candidate access codes includes a corresponding valid access code, and whether the set of dialing format tokens includes a corresponding valid dialing format token. The conference identification information is promoted to a first tier of the plurality of tiers from a second tier of the plurality of tiers by augmenting the conference identification information with supplemental information provided by a user.