Abstract: The present disclosure provides examples of a method and apparatus for processing a video, a device and a storage medium. The method may include: acquiring a target video and a target comment of the target video; recognizing a picture in the target video to obtain text information of the picture; determining a target comment matching a content of the text information; and inserting, in response to displaying the picture in the target video, the target comment matching the content in a form of a bullet screen.

Abstract: A method for preparing 2,5-bishydroxymethylfuran using 5-chloromethylfurfural, the 5-chloromethylfurfural is transformed into the 2,5-bishydroxymethylfuran using a catalyst, a base neutralizer, sodium dithionite, and deionized water.

Abstract: A set of tasks is extracted from workflow data of a system. A set of keywords is extracted from a task in the set of tasks. The set of keywords is expanded into an expanded set of keywords, the expanded set of keywords comprising a new keyword with a semantic relationship to a keyword in the set of keywords. A new task is generated using the expanded set of keywords. Based on a result of execution of the new task, a model of the system is adjusted, the model comprising the workflow data, the set of tasks, and the expanded set of keywords.

Abstract: Processing within a computing environment is facilitated by using a machine learning implicit-anomaly model to determine a possibility of an implicit anomaly within a system based on system metrics data obtained during running of one or more test cases on the system. The process further includes determining, using artificial intelligence, occurrence of an incident within the system associated with running of the one or more test cases. Determining the occurrence of the incident uses the determined possibility of the implicit anomaly within the system based on the system metrics data, and the process further includes initiating an action based on the occurrence of the incident within the system with running of the one or more test cases.

Abstract: Disclosed embodiments provide techniques for dynamic data collection. The dynamic data collection includes determining a data generation temporal pattern. Based on the data generation temporal pattern, a data collection strategy is created. The data collection strategy can be based on one or more data collection goals. The data collection strategy can contain specific details on how data is to be collected. A data infrastructure evaluation is performed, which provides pricing models for resources such as electricity and/or network bandwidth. A data collection policy is created based on the data collection strategy and the data infrastructure evaluation. The data collection policy can contain specific details on when data is to be collected and what strategy to use for the collection. A data transfer schedule is created based on the data collection policy. The data transfer schedule determines when to collect data from one or more data source devices.

Abstract: Computer implemented method, systems, and computer program products include program code executing on a processor(s) monitors objects in the technical environment to collect real-time operational data. The program code obtains historical operational data and historical resource data from the technical environment and generates models to evaluate health states and resource states of the one or more objects. The program code applies the models and identifies objects as abnormal. The program code obtains a topology of the technical environment to identify objects impacted by the abnormal object(s). The program code generates a resource aware dynamic operational data collection plan.

Abstract: A method for preparing a salt-resistant and detergent-resistant alginate fiber by contacting and infiltrating a finished alginate fiber with a borate-containing adjuvant solution and using selected proper raw materials in selected proportions and reaction conditions. The preparation method solves the problem that the alginate fiber and a fabric made therefrom are neither salt-resistant nor detergent-resistant. The borate-modified alginate fiber and a fabric made therefrom have excellent salt resistances, and can be washed with an alkaline detergent. The swelling degree of the alginate fiber modified by the adjuvant solution can be reduced to 39.8% after the fiber is immersed in a normal saline at 30° C. for 72 h and can be reduced to 55.3% after the fiber is immersed in a standard detergent for 24 h, while the fiber maintains its original morphology without any obvious dissolution phenomenon, and the self flame-resisting performance of the alginate fiber is also maintained.

Abstract: A method for preparing a salt-resistant and detergent-resistant alginate fiber by contacting and infiltrating a finished alginate fiber with a borate-containing adjuvant solution and using selected proper raw materials in selected proportions and reaction conditions. The preparation method solves the problem that the alginate fiber and a fabric made therefrom are neither salt-resistant nor detergent-resistant. The borate-modified alginate fiber and a fabric made therefrom have excellent salt resistances, and can be washed with an alkaline detergent. The swelling degree of the alginate fiber modified by the adjuvant solution can be reduced to 39.8% after the fiber is immersed in a normal saline at 30° C. for 72 h and can be reduced to 55.3% after the fiber is immersed in a standard detergent for 24 h, while the fiber maintains its original morphology without any obvious dissolution phenomenon, and the self flame-resisting performance of the alginate fiber is also maintained.

Abstract: Data values are exhibited based on sector-ring angles. The data values to be exhibited are first received by a processing device. The sector-ring angles are then determined for the data values to be exhibited. Using the sector-ring angles for the data values to be exhibited, the data values are exhibited in a sector-ring manner.