Abstract: The invention provides a recombinant Escherichia coli strain for producing succinic acid and a construction method thereof. The by-product encoding genes in the E. coli strain FMME-N-2 are knocked out to obtain the E. coli strain FMME-N-5 (?focA-pflB-?ldhA-?pta-ackA); and the phosphoenolpyruvate carboxykinase pck derived from Actinobacillus succinogenes and the phosphite dehydrogenase ptxD derived from Pseudomonas stutzeri were overexpressed. The constructed plasmid pTrcHisA-pck-ptxD was introduced into the expression host E. coli FMME-N-5 (?focA-pflB-?ldhA-?pta-ackA), and the cells were screened in a plate containing ampicillin, to obtain an engineered strain E. coli FMME-N-5 (?focA-pflB-?ldhA-?pta-ackA)-pck-ptxD that can efficiently produce succinic acid. After fermentation by a two-stage fermentation strategy, the production of succinic acid reaches 137 g/L, the yield of succinic acid is up to 1 g/g glucose, and the space time yield is 1.

Abstract: A staggered and crossed heat storage adsorption bed and a seawater desalination waste heat storage system are provided, which relate to the field of seawater desalination and the technical field of thermochemical adsorption heat storage. The adsorption bed includes a bed body, wherein an adsorption cavity is arranged in the bed body; two sides of the adsorption cavity are respectively communicated with an inlet cavity and an outlet cavity; the adsorption cavity includes a vacuum heat insulation layer arranged at an outermost side; the vacuum heat insulation layer is embedded with an adsorption box fixing layer; a corner end adsorption box, a central adsorption box and a side adsorption box are staggered and crossed arranged in an inner cavity of the vacuum heat insulation layer through the adsorption box fixing layer.

Abstract: The present application discloses a test method and apparatus for an application, an electronic device, and a storage medium, relates to the field of test technologies, and may be applied to the fields of artificial intelligence and big data technologies. A specific solution includes: obtaining, from a target APP, a first recommended item for being selected, where the target APP is an APP of interest to a target user; triggering the target APP to open a first sub-page corresponding to the first recommended item for being selected when the first recommended item for being selected matches target information of interest, where the target information of interest is information of interest to the target user; and determining a test result for the target APP based on a matching degree between a first target recommended item and the target information of interest, where the first target recommended item includes a recommended item generated by the target APP after the first sub-page is opened on the target APP.

Abstract: A semiconductor device package includes a first substrate having an electrical circuit, semiconductor dies stacked one on top of the other, and bond wires electrically connected one to another. The bond wires electrically couple the semiconductor dies to one another and to the electrical circuit. There is a first bond wire having a first portion connected to a first semiconductor die, a second portion connected to a second semiconductor die, and an intermediate portion between the first portion and second portion. The semiconductor device package further includes a molding compound encapsulating the semiconductor dies, and the first and second portions of the first bond wire. The intermediate portion of the first bond wire is exposed along a top planar surface of the molding compound. The semiconductor device package may be used for coupling one or more other semiconductor device packages thereto via the exposed intermediate portion.

Abstract: Disclosed are a method and system for evaluating sonar self-noise at a ship design stage. The method includes: building a ship structure full-scale geometric simulation model; acquiring loss factors and sonar transducer space outfitting acoustic absorption coefficient material parameters; acquiring mechanical excitation, hydrodynamic excitation, and propeller excitation; inputting the loss factors and the sonar transducer space outfitting acoustic absorption coefficient material parameters into an established statistical energy evaluation model, and applying a mechanical excitation to a face plate of foundation of the built ship structure full-scale geometric simulation model, applying a hydrodynamic excitation to the surface of a ship hull, and applying a propeller excitation to a stern shaft to perform calculation of sonar self-noise of a ship to obtain total spectral density level of the sonar self-noise; and evaluating spectral density level calculation results by index requirements.

Abstract: Disclosed are a method and system for evaluating sonar self-noise at a ship design stage. The method includes: building a ship structure full-scale geometric simulation model; acquiring loss factors and sonar transducer space outfitting acoustic absorption coefficient material parameters; acquiring mechanical excitation, hydrodynamic excitation, and propeller excitation; inputting the loss factors and the sonar transducer space outfitting acoustic absorption coefficient material parameters into an established statistical energy evaluation model, and applying a mechanical excitation to a face plate of foundation of the built ship structure full-scale geometric simulation model, applying a hydrodynamic excitation to the surface of a ship hull, and applying a propeller excitation to a stern shaft to perform calculation of sonar self-noise of a ship to obtain total spectral density level of the sonar self-noise; and evaluating spectral density level calculation results by index requirements.

Abstract: In certain embodiments, this disclosure relates to methods of identifying cancer agents and treating cancer with identified agents. In certain embodiments, the caner agents are capable of inducing or stabilizing SMAD4 oligomerization.

Abstract: This disclosure relates to the discovery that a G12V mutant of KRAS (hereinafter KRAS G12V) binds to JAK1, i.e., the existence of a KRAS G12V and JAK1 binding interaction. In certain embodiments, this disclosure relates to methods of disrupting the KRAS G12V and JAK1 interaction reversing KRAS G12V induced immune escape by cancer cells utilizing agents that prevent the binding of JAK1 to KRAS G12V.

Abstract: Disclosed are an EEG signal generation network, method and storage medium. The EEG signal generation network includes a real EEG signal input end, a real EEG signal labeling module, a generator, a sharing module, a discriminator, and a classifier. The EEG signal generation network is configured to minimize losses of the generator, discriminator and classifier, and to minimize a combined loss of the discriminator and classifier through training, and to generate a new event-related potential.

Abstract: Disclosed is a method for analyzing dynamic characteristics of EEG functional connectivity related to driving fatigue including: using independent component analysis and wavelet packet transformation to preprocess EEG data; constructing the preprocessed EEG data into a temporal brain network with dynamic characteristics based on a sliding window method; measuring a spatiotemporal topology of the temporal brain network based on a temporal efficiency analysis framework; and performing statistical analysis on the spatiotemporal topology of the temporal brain network to obtain a correlation between behaviors related to driving fatigue and dynamic characteristics of the temporal brain network.

Abstract: A resource sharing method is performed at a mobile terminal, the method including the following steps: obtaining configured user identifier; obtaining multimedia data; obtaining a resource sharing request, and associating the user identifier with the multimedia data according to the resource sharing request; generating a resource sharing instruction according to an association relationship between the user identifier and the multimedia data; and executing the resource sharing instruction.

Abstract: A resource sharing method is performed at a mobile terminal, the method including: configuring a to-be-shared resource by using a processor, to obtain data needed for obtaining a resource; obtaining a user identifier of a currently logged-in social networking application; obtaining a resource sharing message image template, a user-defined visible element, and configuration information of the visible element that are associated with the user identifier; drawing a resource sharing message image according to the resource sharing message image template, the visible element, and the configuration information, and displaying the resource sharing message image on a social network propagation page of the social networking application; and transferring, by using a social network, a resource sharing message corresponding to the resource sharing message image, the resource sharing message including the data needed for obtaining a resource.

Abstract: A resource sharing method is performed at a mobile terminal, the method including: receiving a resource sharing message configuration file that is delivered in a pre-configured delivery time period; obtaining a theme activity time period according to the resource sharing message configuration file; displaying a resource sharing message configuration portal in the theme activity time period; detecting an operation on the resource sharing message configuration portal, and entering a resource sharing message configuration page; obtaining, according to a configuration performed on the resource sharing message configuration page, a resource sharing message template matching the theme activity time period and resource information matching the resource sharing message template; generating a resource sharing message according to the obtained resource sharing message template and resource information, the resource sharing message including data for obtaining a resource; and sharing the resource sharing message.

Abstract: Disclosed is a method for identifying driving fatigue based on a CNN-LSTM deep learning model including: collecting electroencephalograph signals of a subject during simulated driving; randomly issuing an operating command during simulated driving, and dividing the electroencephalograph signals into fatigue data and non-fatigue data according to a reaction time for the subject to complete the operating command; performing band-pass filtering and mean removal preprocessing on the electroencephalograph signals, and respectively extracting N minutes of fatigue electroencephalograph signal data and N minutes of non-fatigue electroencephalograph signal data to be detected; performing independent component analysis on the electroencephalograph signal data to remove interference signals; establishing a CNN-LSTM model and setting network parameters of the CNN-LSTM model; transmitting the electroencephalograph signal data with interference signals removed to a CNN network for feature extraction; and reshaping data of

Abstract: Skill determination rules may be defined and applied to work items to identify the relevant skills associated with the work item. A skill determination rule definition graphical user interface (GUI) may be utilized to received date defining one or more skill determination rules. Once skill determination rules are defined, upon receipt of a work item, the relevant skill determination rules may be identified and applied to identify relevant skills associated with the work item. An agent possessing the identified skills may be identified and the work item added to the selected agent's queue.

Abstract: A resource sharing method is performed at a mobile terminal, the method including the following steps: obtaining configured user identifier; obtaining multimedia data; obtaining a resource sharing request, and associating the user identifier with the multimedia data according to the resource sharing request; generating a resource sharing instruction according to an association relationship between the user identifier and the multimedia data; and executing the resource sharing instruction.

Abstract: A resource sharing method is performed at a mobile terminal, the method including: configuring a to-be-shared resource by using a processor, to obtain data needed for obtaining a resource; obtaining a user identifier of a currently logged-in social networking application; obtaining a resource sharing message image template, a user-defined visible element, and configuration information of the visible element that are associated with the user identifier; drawing a resource sharing message image according to the resource sharing message image template, the visible element, and the configuration information, and displaying the resource sharing message image on a social network propagation page of the social networking application; and transferring, by using a social network, a resource sharing message corresponding to the resource sharing message image, the resource sharing message including the data needed for obtaining a resource.

Abstract: A resource sharing method is performed at a mobile terminal, the method including: receiving a resource sharing message configuration file that is delivered in a pre-configured delivery time period; obtaining a theme activity time period according to the resource sharing message configuration file; displaying a resource sharing message configuration portal in the theme activity time period; detecting an operation on the resource sharing message configuration portal, and entering a resource sharing message configuration page; obtaining, according to a configuration performed on the resource sharing message configuration page, a resource sharing message template matching the theme activity time period and resource information matching the resource sharing message template; generating a resource sharing message according to the obtained resource sharing message template and resource information, the resource sharing message including data for obtaining a resource; and sharing the resource sharing message.

Abstract: A new and distinct cultivar of Hedychium plant named ‘CHEN XI’ is disclosed characterized by robust plants with resistance to Pyricularia zingiberi (Ginger Blast). Inflorescences are dense and composed of attractive salmon and yellow flowers with orange-red anthers. The new variety is useful as an ornamental plant in warm, wet climates.