Abstract: A lighting apparatus includes a first light source, a second light source and a driver. The first light source has multiple first LED modules. The second light source has multiple second LED modules. The driver controls the first light source and the second light source to generate an output light of a required mixed color temperature. The driver selects a first subset of the multiple first LED modules and a second subset of the multiple second LED modules to generate a first output light with a first color temperature. The driver selects a third subset of the multiple first LED modules and a fourth subset of the multiple second LED modules to generate a second output light with a second color temperature. The first subset is not equal to the third subset. The second subset is not equal to the fourth subset.

Abstract: The present disclosure provides a method and device for constructing an autism spectrum disorder (ASD) risk prediction model. The method includes: establishing a first data table and a second data table based on case information of a sample set, obtaining a first grouped table set and a second grouped table set according to a preset characteristic arrangement rule and marker grouping rule, training data based on a random forest machine learning algorithm, and importing test data to obtain a first best characteristic combination and a second characteristic combination; and obtaining a first model based on the first best characteristic combination, stratified sampling of the first data table, and the random forest machine learning algorithm, obtaining a second model based on the second best characteristic combination, stratified sampling of the second data table, and the random forest machine learning algorithm, and performing combination to construct an ASD risk prediction model.

Abstract: A website scanning apparatus having a policy analysis device for determining whether a link in a target website belongs to a known web application used by the target website, if the link belongs to the identified web application, then a vulnerability scanning is not performed on the link; a crawler device for obtaining the link content that the link points to; a web application identification device for determining whether the link belongs to a known web application; a full scan device for performing a full vulnerability scanning on a link determined as not belonging to the known web application; and a known web application vulnerability detection device for performing vulnerability detection on the website for the determined identified web application according to known vulnerabilities of the identified web application to determine whether the known vulnerabilities of the identified web application exist in the website is provided.

Abstract: Described is a website scanning apparatus comprising a policy analysis device for determining whether a link in a target website belongs to a known web application used by the target website. If the link belongs to the identified web application, then a vulnerability scanning is not performed on the link; a crawler device for obtaining the link content that the link points to; a web application identification device for determining whether the link belongs to a known web application; a full scan device for performing a full vulnerability scanning on a link determined as not belonging to the known web application; and a known web application vulnerability detection device for performing vulnerability detection for the identified web application according to known vulnerabilities to determine whether the known vulnerabilities exist in the website. A website scanning method employed by the website scanning apparatus is also described.