Abstract: In some embodiments, a method receives quality metric values for profile levels in a plurality of profile levels for a segment of content. An available bandwidth and associated bitrates of profile levels in the plurality of profile levels are evaluated to select a first profile level. The quality metric values for profile levels in the plurality of profile levels are evaluated to select a second profile level. The method selects a profile level in the plurality of profile levels based on the first profile level and the second profile level. The profile level that is selected is requested for the segment.

Abstract: A device, method, and system for signal distortion pre-correction, and a composite system are disclosed. The device-includes: a signal distortion correction network module, a correction parameter trainer, a data collection module connected to an external power amplifier module, and a first conversion module. The data collection module is configured to perform time-division collection on output signals of channels of the power amplifier module and output analog feedback signals to the first conversion module. The first conversion module is configured to convert the analog feedback signals into digital feedback signals. The correction parameter trainer is configured to determine a correction parameter according to the digital feedback signals and a forward signal inputted. The signal distortion correction network module is configured to correct the forward signal based on the correction parameter and output a pre-corrected signal.

Abstract: In some embodiments, a method generates a reward function for an adaptive bitrate function that is based on a bandwidth and profiles in a profile ladder for a current segment of content. The reward function indicates a first profile should be selected for the current segment. The method performs a quality change analysis to select a second profile from the profile. The quality change analysis analyzes a quality change that is based on a previously selected profile from a prior segment and profiles in the profile ladder. The second profile is requested from the profile ladder for the current segment.

Abstract: In some embodiments, a method generates a reward function for an adaptive bitrate function that is based on a bandwidth and profiles in a profile ladder for a current segment of content. The reward function indicates a first profile should be selected for the current segment. The method performs a quality change analysis to select a second profile from the profile. The quality change analysis analyzes a quality change that is based on a previously selected profile from a prior segment and profiles in the profile ladder. The second profile is requested from the profile ladder for the current segment.

Abstract: A ketoamide compound and a preparation method, a pharmaceutical composition, and a use thereof. Specifically, the ketoamide compound shown in formula (A), a racemate, an enantiomer, or a diastereoisomer thereof, or any mixture of same, or a pharmaceutically active metabolite thereof, or a pharmaceutically acceptable salt, solvate, or prodrug thereof. The ketoamide compound can effectively inhibit coronavirus or Ebola virus, and thereby implement the prevention or treatment of diseases related to coronavirus or diseases related to Ebola virus.

Abstract: Embodiments of the present disclosure provide a method, device and computer program product for backing up data. The method comprises obtaining a data attribute of specific data to be backed up from a client to a server, a resource utilization rate at the client, and a network condition between the client and the server. The method further comprises setting, based on the data attribute, the resource utilization rate and the network condition, a plurality of parameters for performing stream backup, wherein the plurality of parameters at least comprises a concurrent number of stream transmission and a concurrent number of data parsing. The method further comprises parsing, according to the set plurality of parameters, the specific data and backing up the specific data from the client to the server.

Abstract: A class of ketoamide-based compounds, in particular, a ketoarnide-based compound as represented by general formula A is provided. The ketoamide compound may be used as a 2019 novel coronavirus (2019-nCov) 3 CL protease inhibitor and/or human cathepsin L inhibitor, and/or may be used in the preparation of a medicament for treating and/or preventing and relieving respiratory tract infection, pneumonia and other related diseases caused by 2019 novel coronavirus infection. Pharmaceutical compositions of the class of compounds, pharmaceutical salts, enantiomeric forms, diastereoisomers and racemic compounds thereof in the preparation of a medicament for treating and/or preventing and relieving respiratory tract infections and other related diseases caused by the 2019 novel coronavirus infection are also provided.

Abstract: Use of an aldehyde-based compound as represented by general formula I, a pharmaceutical composition, a pharmaceutical salt, an enantiomer, a diastereomer and a racemic compound thereof as a novel coronavirus 2019 (2019-nCov) 3CL protease inhibitor in preparation of a medicament for treating and/or preventing and relieving respiratory tract infections, pneumonia and other related diseases caused by the novel coronavirus infection 2019.

Abstract: Embodiments of the present disclosure relate to a method for data backup. The method includes obtaining an attribute value associated with a backup task to be run, the backup task being used for backing up data on a client terminal to a server through a network, the attribute value including a value of at least one of an attribute of the client terminal, an attribute of the server, and an attribute of the network; determining, based on the attribute value, the number of threads to be used to perform the backup task on the client terminal; and causing the client terminal to perform the backup task using the number of threads to back up the data.

Abstract: A nanometer niobium carbide/carbon nanotube reinforced diamond composite and a preparation method thereof, belonging to the field of materials science. The nanometer niobium carbide/carbon nanotube reinforced diamond composite is composed of nanometer niobium carbide/carbon nanotube composite powders, matrix powders and diamond grains, wherein the nanometer niobium carbide/carbon nanotube composite powders are the composites of nanometer niobium carbide which are evenly distributed in the surface defects and interior of the carbon nanotube, the nanometer niobium carbide/carbon nanotube reinforced diamond composite is prepared by mixing the nanometer niobium carbide/carbon nanotube composite powders, matrix powders and diamond grains uniformly and sintering with a hot pressing technique.

Abstract: A ketoamide compound and a preparation method, a pharmaceutical composition, and a use thereof. Specifically, the ketoamide compound shown in formula (A), a racemate, an enantiomer, or a diastereoisomer thereof, or any mixture of same, or a pharmaceutically active metabolite thereof, or a pharmaceutically acceptable salt, solvate, or prodrug thereof. The ketoamide compound can effectively inhibit coronavirus or Ebola virus, and thereby implement the prevention or treatment of diseases related to coronavirus or diseases related to Ebola virus.

Abstract: Implementations of the subject matter described herein provide methods and systems of controlling data backup, and a computer readable storage medium. The method comprises: obtaining test data for performing data backup with a plurality of backup solutions, the plurality of backup solutions being associated with each set of values amongst a plurality of sets of values of a plurality of factors affecting the data backup; generating a training sample set based on comparison of the test data; converting the training sample set into a decision model for controlling data backup; and optimizing the decision model based on the configuration parameters obtained by performing data backup with the decision model.

Abstract: Embodiments of the present disclosure relate to a method for data backup. The method includes obtaining an attribute value associated with a backup task to be run, the backup task being used for backing up data on a client terminal to a server through a network, the attribute value including a value of at least one of an attribute of the client terminal, an attribute of the server, and an attribute of the network; determining, based on the attribute value, the number of threads to be used to perform the backup task on the client terminal; and causing the client terminal to perform the backup task using the number of threads to back up the data.

Abstract: Embodiments of the present disclosure provide methods, apparatus, and computer storage media for application error diagnosis. The method of application error diagnosis may include obtaining information related to an error in an application, generating a code of the information related to the error in the application, determining a similarity between the code and at least one predetermined code, wherein the at least one predetermined code is being associated with a known software bug. The method further includes determining at least one software bug related to the error in the application by comparing the similarity with a predetermined threshold.

Abstract: Embodiments of the present disclosure provide a method, device and computer program product for backing up data. The method comprises obtaining a data attribute of specific data to be backed up from a client to a server, a resource utilization rate at the client, and a network condition between the client and the server. The method further comprises setting, based on the data attribute, the resource utilization rate and the network condition, a plurality of parameters for performing stream backup, wherein the plurality of parameters at least comprises a concurrent number of stream transmission and a concurrent number of data parsing. The method further comprises parsing, according to the set plurality of parameters, the specific data and backing up the specific data from the client to the server.

Abstract: Embodiments of the present disclosure provide a method, a system and a computer readable storage medium for data backup and restoration in a cluster system. The method comprises obtaining performance data of the nodes, the performance data being collected periodically by the backup and restore proxy modules; predicting workloads of the nodes based on the performance data; selecting, based on the predicted workloads, a backup node from the nodes, to take over a data backup and restore task from a working node which is currently in charge of the data backup and restore task.

Abstract: A nanometer niobium carbide/carbon nanotube reinforced diamond composite and a preparation method thereof, belonging to the field of materials science. The nanometer niobium carbide/carbon nanotube reinforced diamond composite is composed of nanometer niobium carbide/carbon nanotube composite powders, matrix powders and diamond grains, wherein the nanometer niobium carbide/carbon nanotube composite powders are the composites of nanometer niobium carbide which are evenly distributed in the surface defects and interior of the carbon nanotube, the nanometer niobium carbide/carbon nanotube reinforced diamond composite is prepared by mixing the nanometer niobium carbide/carbon nanotube composite powders, matrix powders and diamond grains uniformly and sintering with a hot pressing technique.

Abstract: Embodiments of the present disclosure provide methods, apparatus, and computer storage media for application error diagnosis. The method of application error diagnosis may include obtaining information related to an error in an application, generating a code of the information related to the error in the application, determining a similarity between the code and at least one predetermined code, wherein the at least one predetermined code is being associated with a known software bug. The method further includes determining at least one software bug related to the error in the application by comparing the similarity with a predetermined threshold.

Abstract: Embodiments of the present disclosure provide a method, a system and a computer readable storage medium for data backup and restoration in a cluster system. The method comprises obtaining performance data of the nodes, the performance data being collected periodically by the backup and restore proxy modules; predicting workloads of the nodes based on the performance data; selecting, based on the predicted workloads, a backup node from the nodes, to take over a data backup and restore task from a working node which is currently in charge of the data backup and restore task.

Abstract: Implementations of the subject matter described herein provide methods and systems of controlling data backup, and a computer readable storage medium. The method comprises: obtaining test data for performing data backup with a plurality of backup solutions, the plurality of backup solutions being associated with each set of values amongst a plurality of sets of values of a plurality of factors affecting the data backup; generating a training sample set based on comparison of the test data; converting the training sample set into a decision model for controlling data backup; and optimizing the decision model based on the configuration parameters obtained by performing data backup with the decision model.