Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

32 results about "Sex selection" patented technology

Sex selection is the attempt to control the sex of the offspring to achieve a desired sex. It can be accomplished in several ways, both pre- and post-implantation of an embryo, as well as at childbirth. It has been marketed under the title family balancing.

Method for interactive inquiry of traditional Chinese medicine syndrome factor inquiry voice robot

The invention discloses a method for interactive inquiry of a traditional Chinese medicine syndrome factor inquiry voice robot. The method includes the steps: S1, after a user registers or directly logs in, performing gender selection, and inputting basic information of the user; S2, entering an inquiry link of the traditional Chinese medicine syndrome factor inquiry voice robot, selecting by theuser a constitution identification mode and a syndrome factor mode for detection; identifying the user's constitution or/and the syndrome factor mode by the traditional Chinese medicine syndrome factor inquiry voice robot, performing voice interactive inquiry with the traditional Chinese medicine syndrome factor inquiry voice robot by the user, and entering interactive inquiry information into thetraditional Chinese medicine syndrome factor inquiry voice robot, analyzing by a traditional Chinese medicine syndrome factor inquiry voice robot background, an performing constitution judgment and syndrome factor mode integration; S3, displaying a constitution property partial order structure diagram and the syndrome factor mode integration on a traditional Chinese medicine syndrome factor inquiry human-machine interface, and informing a constitution identification result; S4, obtaining, by a doctor, a detailed score report according to a syndrome factor mode identification result, and completing a subsequent diagnosis.
Owner:洪文学 +2

A method for multi-trait selective crossbreeding sheep suitable for alpine environment

The invention discloses a multi-character selective crossbreeding method for sheep suitable for alpine environment, and belongs to the technical field of livestock breeding. The steps of the method: use the Horba sheep local group as the female parent of the F1 generation of hybridization, and the East Fried sheep as the male parent of the F1 generation of hybridization to obtain the F1 generation of hybridization; use the female sheep in F1 as the female parent of the F2 generation of hybridization, and use the female sheep of the F1 generation as the female parent of the F2 generation. The sheep were the F2 generation hybrid male parent, and the second generation F2 hybrid was obtained; the female sheep in F2 was used as the F3 generation hybrid female parent, and the Suffolk sheep was the F3 generation hybrid male parent, and the third generation F3 hybrid was obtained; the female sheep in F3 was used as the F3 hybrid female parent. The female parent of the F4 crossbreed, Dorset sheep was the male parent of the F4 crossbreed, and the four-generation F4 was obtained; the four-generation F4 was used as the female parent and the male parent for cross-fixation, and the target sheep core group was obtained. The beneficial effect of the present invention is to solve the problem of cultivating a high-breeding and grain-saving core group of meat sheep with tender meat, double lambs, fast growth, no horns and stable genetic performance suitable for the alpine environment.
Owner:INST OF ANIMAL SCI & VETERINARY TIBET ACADEMY OF AGRI & ANIMAL HUSBANDRY SCI +1

Horror Video Recognition Method Based on Discriminative Example Selection Multiple Instance Learning

The invention discloses a horror video identification method based on discriminant instance selection and multi-instance learning. The method comprises the steps of extracting the video shot of each video in a training video set and selecting an emotional representative frame and an emotional mutation frame for each video shot to show the shot, extracting the audio and video characteristics of the shots as video instances to form a video instance set, selecting a discriminant video instance from the video instance set, calculating the similarity distances between the video instances and the discriminant video instance in the training video set to obtain a characteristic vector set, carrying out sparse reconstruction on the characteristic vector of the video to be identified and the characteristic vector set corresponding to the training video set, and identifying the class of the video according to reconstruction errors. The novel horror video identification method based on the discriminant instance selection and the multi-instance learning is applied to horror film scene identification, is of great academic significance and social significance and has wide application prospects.
Owner:人民中科(北京)智能技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products