Abstract: Disclosed are a strain of Lactobacillus helveticus capable of removing multiple heavy metals and an application thereof in milk powder, where the strain is Lactobacillus helveticus KD-3, which is deposited in the China Center for Type Culture Collection on Apr. 6, 2023, with a deposit number of CCTCC NO: M2023479. The Lactobacillus helveticus KD-3 has a cadmium resistant gene czcD, a chromium resistant gene chrA and a lead resistant gene pbrT, and is capable of tolerating single and compound heavy metals (cadmium, chromium and lead). The Lactobacillus helveticus KD-3 of the present disclosure is used to prepare lyophilized bacterial powder.

Abstract: In implementations of systems for suggesting content components, a computing device implements a design system to receive input data describing a feature of a content component to be included in a hypertext markup language (HTML) document. The design system represents that feature of the content component as a document object model (DOM) element and determines a hash value for the DOM element using locality-sensitive hashing. Manhattan distances are computed between the has value and has values described by a segment of content component data. The hash values were determined using the locality-sensitive hashing for DOM elements extracted from a corpus of HTML documents. The design system generates indications, for display in a user interface, of candidate content components for inclusion in the HTML document based on the Manhattan distances.

Abstract: In implementations of systems for suggesting content components, a computing device implements a design system to receive input data describing a feature of a content component to be included in a hypertext markup language (HTML) document. The design system represents that feature of the content component as a document object model (DOM) element and determines a hash value for the DOM element using locality-sensitive hashing. Manhattan distances are computed between the has value and has values described by a segment of content component data. The hash values were determined using the locality-sensitive hashing for DOM elements extracted from a corpus of HTML documents. The design system generates indications, for display in a user interface, of candidate content components for inclusion in the HTML document based on the Manhattan distances.