Abstract: The present invention relates to application of gossypol and its optical isomers to preparation of an anti-Coronavirus drug. Specifically disclosed is application of pharmaceutically acceptable salts, solvates, isotopes, stereoisomers, stereoisomer mixtures, and tautomers of the gossypol and its optical isomers to preparation of a drug for preventing and/or treating a disease caused by a Coronavirus. The Coronavirus is MERS-CoV, SARS-CoV, or SARS-CoV-2. It is found in the present invention for the first time that the gossypol and its optical isomers can inhibit the activity of Coronavirus 3CL proteases to achieve an anti-Coronavirus effect. The half maximal inhibitory concentrations of gossypol and (?)-gossypol to SARS-CoV proteases and SARS-CoV-2 3CL proteases are all lower than 10 ?M. The anti-Coronavirus 3CL protease effect is good. Therefore, the gossypol and its optical isomers have the potential for use in the preparation of a drug for preventing and/or treating novel Coronavirus infections.

Abstract: A human face data processing method according to an embodiment of the present disclosure includes acquiring a picture of a human face by means of a scanning apparatus, obtaining point cloud information by means of a structured light stripe, and further obtaining a three-dimensional model of the human face, and mapping the three-dimensional model onto a circular plane in an area-preserving manner so as to form a two-dimensional human face image. Three-dimensional data is converted into two-dimensional data, thereby facilitating data storage. In addition, the three-dimensional data uses the area-preserving manner, such that the restoration quality is better when the two-dimensional data is restored to the three-dimension data, thereby facilitating the re-utilization of a three-dimensional image.

Abstract: A method of planarizing three dimensional data of a brain implemented by a computer according to an embodiment of the present disclosure includes acquiring a three-dimensional model of the brain scanned by a scanning device, the three-dimensional model including the three-dimensional data of the brain, and mapping, in the computer, the three-dimensional model onto a circle in an area-preserving manner to form an area-preserving map. The method can convert a three-dimensional brain model into a circle or unit disc on a two-dimensional plane so that the brain model can be compared with a reference brain model, and a doctor can judge the position and degree of a brain lesion more accurately.

Abstract: A human face data processing method according to an embodiment of the present disclosure includes acquiring a picture of a human face by means of a scanning apparatus, obtaining point cloud information by means of a structured light stripe, and further obtaining a three-dimensional model of the human face, and mapping the three-dimensional model onto a circular plane in an area-preserving manner so as to form a two-dimensional human face image. Three-dimensional data is converted into two-dimensional data, thereby facilitating data storage. In addition, the three-dimensional data uses the area-preserving manner, such that the restoration quality is better when the two-dimensional data is restored to the three-dimension data, thereby facilitating the re-utilization of a three-dimensional image.

Abstract: A method of planarizing three dimensional data of a brain implemented by a computer according to an embodiment of the present disclosure includes acquiring a three-dimensional model of the brain scanned by a scanning device, the three-dimensional model including the three-dimensional data of the brain, and mapping, in the computer, the three-dimensional model onto a circle in an area-preserving manner to form an area-preserving map. The method can convert a three-dimensional brain model into a circle or unit disc on a two-dimensional plane so that the brain model can be compared with a reference brain model, and a doctor can judge the position and degree of a brain lesion more accurately.

Abstract: A method of detecting a protrusion in an intestinal tract in a computer according to an embodiment of the present disclosure includes acquiring a three-dimensional model of the intestinal tract scanned by a scanning device, the three-dimensional model comprising three-dimensional data of the intestinal tract; mapping, in the computer, the three-dimensional model to a two-dimensional plane in an area-preserving manner; and detecting an area of the protrusion in the two-dimensional plane. The method can replace traditional modes such as enteroscopy, and the protrusion in the intestinal tract is detected in a painless and low-cost mode.

Abstract: The present invention discloses a method for amending translated draft text, an electronic device for amending translated draft text, and an APP implementing said method. The present invention provides an editing function for machine translation text which issues a final feedback or approval.