Abstract: A spinning solution, a heat-resistant creep-resistant fiber and preparation method therefor are provided. The spinning solution includes a polyethylene, a solvent and a photoinitiator, and the content of the photoinitiator is 0.2 wt %-10 wt % of the mass of the polyethylene; gel-spinning and multi-stage drafting the spinning solution; then performing ultraviolet irradiation by an ultraviolet light source to obtain a heat-resistant creep-resistant polyethylene fiber; the light intensity and the time of the ultraviolet light source is 100 W/cm2-5000 W/cm2 and 10 s-600 s, respectively; the gel content and the crystallinity of the heat-resistant creep-resistant polyethylene fiber is 20 wt %-100 wt % and 50 wt %-90 wt %, respectively; the creep rate of the fiber is 10?8 s?1-10?7 s?1 under conditions of a temperature of 70° C. and a load of 300 MPa; the fracture temperature of the fiber is 155° C.-245° C. under conditions of a load of 15 MPa and a heating rate of 2° C./min.

Abstract: A method for secure payment, including: detecting whether a connected mobile terminal exists; acquiring, when the connected mobile terminal exists, a first user transaction information, and encrypting the first user transaction information to generate a corresponding first encrypted transaction information; sending the first encrypted transaction information to a transaction verification server based on a first hardware interface of the mobile terminal, and receiving a transaction verification result from the transaction verification server; and determining, according to the transaction verification result, whether a payment operation is to be performed.

Abstract: A method and apparatus is described to push to-be-recommended products onto users' terminals based on similarities in the to-be-recommended products and products in the users' historical records of products. To improve the pushed recommendations various technics are applied, including: using predefined criteria to filter products provided from the users' historical records, applying temporal decay to provide real-time recommendations, removing already obtained products from the to-be-recommended products to be pushed, improving similarity calculations by determining similarity using pairwise variations between products both in and out of the candidates for to-be-recommended products, sorting the to-be-recommended product according to a preset recommendation policy, calculating pairwise variations using multiple types of similarity measures, using weights to determine the to-be-recommended products, and applying a preset recommendation policy based on a given scenario.

Abstract: A method and apparatus is described to push to-be-recommended products onto users' terminals based on similarities in the to-be-recommended products and products in the users' historical records of products. To improve the pushed recommendations various technics are applied, including: using predefined criteria to filter products provided from the users' historical records, applying temporal decay to provide real-time recommendations, removing already obtained products from the to-be-recommended products to be pushed, improving similarity calculations by determining similarity using pairwise variations between products both in and out of the candidates for to-be-recommended products, sorting the to-be-recommended product according to a preset recommendation policy, calculating pairwise variations using multiple types of similarity measures, using weights to determine the to-be-recommended products, and applying a preset recommendation policy based on a given scenario.