Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.

Abstract: The present invention provides a display status adjustment method, a display status adjustment device and a display device, which belongs to the field of display technology and can solve the problem that the existing display status adjustment method for a display is too simple and has low accuracy. The display status adjustment method of the present invention comprises steps of: collecting information parameter of an environment where a display is located; inputting the collected information parameter to a pre-built wavelet neural network model for analysis, and obtaining a display status in which the display is to display; and adjusting display status of the display based on analysis result.

Abstract: Methods, systems, and computer programs are presented for recommending new connections based on profile similarity and existing interconnections within a social network. One method includes an operation for detecting a request for new connections for a member of the social network, where the profile of the member includes values for certain attributes. Additionally, the method includes operations for identifying members that have at least one equal attribute to the attributes of the member, and for calculating a connection score for each identified member based on the respective values of the identified members attributes. Members are selected from the identified members based on the connection scores, and a ranking score for each selected member is obtained utilizing a machine learning algorithm that utilizes similarity analysis of the attributes to calculate the ranking score. The selected members are presented to the member as the possible new connections based on the ranking scores.

Abstract: The present disclosure provides an inhibitor for inhibiting or disrupting biofilm and use thereof. Specifically, the present disclosure an application of a PsIG protein and a coding sequence thereof in inhibiting or disrupting a biofilm of a microorganism. The present disclosure also provides a composition and a preparation containing the PsIG protein to inhibit or disrupt a biofilm of a microorganism. The experiment shows that PsIG can effectively inhibit or disrupt a biofilm of Pseudomonas species, suggesting the great potential of PsIG in clinical and environmental fields.

Abstract: The disclosure relates to a method, electronic device, and non-transitory computer-readable medium for collecting fingerprints. The method includes detecting a touch operation on a fingerprint region; when the touch operation on the fingerprint region is detected, detecting a touch signal within the fingerprint region as a first touch signal; comparing the first touch signal with a preset report threshold to obtain a first comparison result; determining whether a fingerprint image on the fingerprint region is acquired based on the first comparison result; when the fingerprint image is acquired, analyzing the fingerprint image to obtain an analysis result; and outputting a prompt based on the analysis result.

Abstract: A method of collecting fingerprints is provided in the present disclosure. In an example, the method includes: before fingerprints are collected, a pressure value for a touch operation on a fingerprint detecting region is compared with a preset pressure threshold; when the pressure value is greater than or equal to the preset pressure threshold, the fingerprints are collected; and when the pressure value is less than the preset pressure threshold, pressure prompt information is output to prompt the user to increase a pressing pressure on the fingerprint detecting region.

Abstract: A fingerprint identification method, which is applied to a terminal device, includes waking up a system of the terminal device and making a display screen of the terminal device enter into a High Brightness mode, if a wake event is detected when the display screen of the terminal device is in an Always on Display mode or in an Off-Screen mode; collecting fingerprint information; and identifying the fingerprint information to obtain recognition results according to a pre-stored fingerprint database.

Abstract: A method and a terminal device are provided for waking up an icon. Upon detection of a first wake event while a display screen of said terminal device is in a Screen-Off mode, the terminal device determines whether a second wake event is detected within a preset time threshold. The display screen is equipped with an under-screen fingerprint recognition circuitry in a fingerprint recognition area. Upon detection of said second wake event within said preset time threshold, the terminal device causes said display screen to switch into a Screen-On mode in which a preset icon is displayed in the fingerprint recognition area. When said second wake event is not detected within said preset time threshold, the said terminal device causes said display screen to switch into an Always on Display mode in which said preset icon is displayed in the fingerprint recognition area.

Abstract: A plasmonic system is disclosed. The system includes at least one polarizer that is configured to provide at least one linearly polarized broadband light beam, an anisotropic plasmonic metasurface (APM) assembly having a plurality of nanoantennae each having a predetermined orientation with respect to a global axis representing encoded digital data, the APM assembly configured to receive the at least one linearly polarized broadband light beam and by applying localized surface plasmon resonance reflect light with selectable wavelengths associated with the predetermined orientations of the nano antennae, and at least one analyzer that is configured to receive the reflected light with selectable wavelength, wherein the relative angles between each of the at least one analyzers and each of the at least one polarizers are selectable with respect to the global axis, thereby allowing decoding of the digital data.

Abstract: The disclosure relates to tracking the location of a target object. In one example, a computer vision system detects a configuration of environment objects. A location model that has been trained for the environment configuration is selected. A signal associated with the target object is received and interpreted using the selected location model to determine the location of the target object.

Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.

Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.

Abstract: The discussion relates to inventory control. One example can analyze data from sensors to identify items and users in an inventory control environment. The example can detect co-location of an individual user and an individual item at a first location in the inventory control environment at a first time and at a second location in the inventory control environment at a second time.

Abstract: Methods, systems, and computer programs are presented for recommending new connections based on profile similarity and existing interconnections within a social network. One method includes an operation for detecting a request for new connections for a member of the social network, where the profile of the member includes values for certain attributes. Additionally, the method includes operations for identifying members that have at least one equal attribute to the attributes of the member, and for calculating a connection score for each identified member based on the respective values of the identified members attributes. Members are selected from the identified members based on the connection scores, and a ranking score for each selected member is obtained utilizing a machine learning algorithm that utilizes similarity analysis of the attributes to calculate the ranking score. The selected members are presented to the member as the possible new connections based on the ranking scores.

Abstract: A sample selection method and apparatus and a server belong to the field of metric learning technologies. The method includes: selecting n sample pairs from an unlabeled sample set, each sample pair including two samples, and each sample including data in p modalities; calculating a partial similarity between data that is in each modality and that is of one sample included in the sample pair and data that is in each modality and that is of the other sample, to obtain p×p partial similarities; calculating, according to the p×p partial similarities, an overall similarity between the two samples included in the sample pair; obtaining a degree of difference between the p×p partial similarities and the overall similarity; and selecting a sample pair that meets a preset condition and that is in the n sample pairs as a training sample.

Abstract: A test apparatus and a test method for testing a plurality of blocks in a circuit, the plurality of blocks having identical structures. The test apparatus includes a comparing device, configured to collect output responses generated by the plurality of blocks by applying an excitation signal to the plurality of blocks in parallel, compare the output responses of the plurality of blocks to determine whether the output responses of the plurality of blocks are identical, and output results of the comparison of the comparing device; and a determining device, configured to receive the results of the comparison of the comparing device, and determine whether the plurality of blocks have a defect according to the results of the comparison of the comparing device.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.

Abstract: A fuel cell power controller tracks load current and fuel cell output voltage, and alerts on excessive fuel cell ramp rate, so another power source can supplement the fuel cell and/or the load can be reduced. A power engineering process makes efficient use of available fuel cell power by ramping up power flow rapidly when power is available, while respecting the ramp rate and other power limitations of the fuel cell and safety limitations of the load. Power flow decreases after an alert indicating an electrical output limitation of the fuel cell. Permitted power flow increases in response to a power demand increase (actual or requested) from the load in the absence of the alert. Power flow may increase or decrease in a fixed amount, a proportional amount, or per a sequence. A power controller relay may trip open on a low fuel cell output voltage or high load current.

Abstract: A grayscale voltage calibration device comprises: an adjusting circuit, configured to receive an actual grayscale voltage value of a grayscale output from a source driver IC, compare the actual grayscale voltage value with a theoretically determined voltage value of the grayscale, and adjust the actual grayscale voltage when the comparison result indicates that the actual grayscale voltage is not equal or close to the theoretically determined voltage value; and a verification circuit, configured to verify whether the adjusted grayscale voltage value is equal or close to the theoretically determined voltage value, and feedback the adjusted grayscale voltage value as a target voltage value to be input to a display panel of the display device to the source driver IC if yes, otherwise, control the adjusting circuit to further adjust the adjusted grayscale voltage value.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial maximum selection value for distribution over each different online channel. An observed distribution amount required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed distribution amount received through the feedback loop, a realized distribution amount is determined for the multiple different distributions across the multiple different online channels. The maximum selection value is adjusted based on a difference between the realized distribution amount and a reference distribution amount specified by a provider of the content.