Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.

Abstract: The present disclosure provides a primer probe set for human histamine receptor HRH1 mRNA detection, a kit and a detection method, and relates to the technical field of biological detection. In the present disclosure, the primer probe set includes a HRH1-F, a HRH1-R and a probe H1-Probe; where the HRH1-F has a nucleotide sequence shown in SEQ ID NO. 1, the HRH1-R has a nucleotide sequence shown in SEQ ID NO. 2, and the probe H1-Probe has a nucleotide sequence shown in SEQ ID NO. 3. The present disclosure provides a kit including the primer probe set and a detection method. An expression level of the HRH1 mRNA can be detected using an RNA one-step method.

Abstract: The present disclosure provides a reagent for detecting an expression level of a human histamine receptor HRH4 mRNA, a kit and a detection method. In the present disclosure, the reagent includes a specific primer and a probe for a human histamine receptor HRH4, the specific primer includes an HRH4-F and an HRH4-R, and the probe includes an H4-Probe; and the HRH4-F has a nucleotide sequence shown in SEQ ID NO. 1, the HRH4-R has a nucleotide sequence shown in SEQ ID NO. 2 and the H4-Probe has a nucleotide sequence shown in SEQ ID NO. 3. In the present disclosure, a kit for one-step detection and a detection method based on the reagent are prepared, and the expression level of the HRH4 mRNA can be one-step quantitatively detected with simple operation and short detection time.

Abstract: An Nth order linear differential microphone array (LDMA) with a steerable beamformer may be constructed by specifying a target beampattern for the LDMA at a steering angle ?. An Nth order polynomial associated with the target beampattern may then be generated. A relationship between the nulls of the polynomial and the steering angle ? is determined and then a value of one of the nulls is determined based on N?1 assigned values for the other nulls and the determined relationship between the nulls of the polynomial and the steering angle ?. The steerable beamformer may be generated based on the determined null value and the N?1 assigned null values. The N?1 assigned null values may be associated with the N?1 nulls of the polynomial that are of less than Nth order and the determined null value may be associated with the null of the polynomial that is of Nth order.

Abstract: An Nth order linear differential microphone array (LDMA) with a steerable beamformer may be constructed by specifying a target beampattern for the LDMA at a steering angle ?. An Nth order polynomial associated with the target beampattern may then be generated. A relationship between the nulls of the polynomial and the steering angle ? is determined and then a value of one of the nulls is determined based on N?1 assigned values for the other nulls and the determined relationship between the nulls of the polynomial and the steering angle ?. The steerable beamformer may be generated based on the determined null value and the N?1 assigned null values. The N?1 assigned null values may be associated with the N?1 nulls of the polynomial that are of less than Nth order and the determined null value may be associated with the null of the polynomial that is of Nth order.