Abstract: Provided are a biodegradable aliphatic-aromatic polyester copolymer having excellent hydrolysis resistance and high viscosity which has a carboxyl end group (CEG) content of 15 mg KOH/g or less, a ratio (Mz/Mn) of a z-average molecular weight (Mz) to a number average molecular weight (Mn) of 3 to 15, and a melt index (MI) of 5 g/10 min or less as measured under conditions of a temperature of 190° C. and a load of 2.16 kg in accordance with ASTM D 1238. A method of preparing a biodegradable aliphatic-aromatic polyester copolymer is provided, including adding a chain extender and an anti-hydrolysis agent to an aliphatic-aromatic polyester pre-copolymer over time, whereby a significant viscosity rise and improvement of hydrolysis resistance may be implemented simultaneously.

Abstract: A vehicle seat reinforcement device includes a leg portion mounted on a floor panel, a seat cushion frame slidably mounted on the leg portion, and a load reinforcing structure connected between the leg portion and the seat cushion frame, wherein when a seat belt anchorage load is transferred to the seat cushion frame, the seat cushion frame is locked to the leg portion by the load reinforcing structure.

Abstract: The present disclosure in at least one embodiment provides a wireless communication device, comprising a lower case, an upper radome, coupled to the lower case, creating a storage space between the lower case and the upper radome, an antenna disposed in the storage space, and a plurality of internal substrates, disposed between the antenna and the lower case in the storage space, of which one of the plurality of internal substrates is connected to the antenna, wherein each internal substrate of the plurality of internal substrates is disposed along a first direction parallel to a surface of the lower case facing the plurality of internal substrates.

Abstract: Provided are a method and apparatus for recommending an image based on a user profile using feature-based collaborative filtering. To generate the user profile, a model may be build from a customer purchase list database for each predetermined time. A multimedia image may be recommended, in which a purchase likeness score of a target user is high or at a predetermined level, by using the built model.