Abstract: Systems and methods for using machine learning to dynamically assess performance of products and suppliers in the marketplace are disclosed. According to certain aspects, an electronic device may train a plurality of intermediate machine learning models and an aggregate machine learning model using various marketplace data associated with products and suppliers. The electronic device may analyze information associated with a given product or a given supplier using the trained machine learning models to predict a performance of the product or supplier, as well as determine various recommendations associated with the design, testing, inspection, and/or distribution of products.

Abstract: The present invention provides a device (10) suitable for insertion between vertebral portions and having a first, collapsed, position and a second, extended, position, wherein the device comprises upper and lower supports (18, 20) and side supports (22, 24) pivotally connected thereto and in which one of said side supports includes a reaction surface (34) against which, in operation, an actuation member (36) acts so as to cause opening of said device.

Abstract: A method of transforming a molten material or melt into discrete solid particles comprises forming the melt into prills by passing the melt through a perforated member, dropping the prills onto a bed of powdered material, such as silica flour, to coat the prills with the material in the bed and permitting the prills to cool, thereby to solidify into discrete solid particles. In one embodiment, the melt comprises at least two components such as elemental sulphur and an olefinic hydrocarbon, which are subjected to a chemical reaction, such as the polymerization of the olefinic hydrocarbon with the sulphur to form a sulphur polymer stabilizer. A method of producing a sulphur concrete incorporating the sulphur polymer stabilizer is also provided.