Abstract: A secondary battery includes: a case having an open end; an electrode assembly accommodated in the case; and a cap assembly coupled to the open end of the case and including a cap plate. A portion of the cap plate coupled to the case is thicker than other portions of the cap plate.

Abstract: The present invention pertains to a composition for preventing and treating cancer through mitochondrial metabolism regulation, wherein the composition contains a nanographene structure. It has been confirmed that a specific inhibitory activity on the NIX-dependent pathway among the mitophagy mechanisms in cancer cells inhibits mitochondrial degradation, and thus damaged mitochondria accumulate in the cancer cells, and apoptosis of the cancer cells is induced as a result. Therefore, the composition according to the present invention exhibits excellent anticancer effects that can be applied to various diseases related to the accumulation of abnormal cells, without causing resistance or toxicity, and can thus be effectively used as a cancer prevention or treatment agent or an anticancer treatment adjuvant.

Abstract: The present invention relates to a composition for preparing a decellularized scaffold, including nano graphene oxide. The present inventors crosslinked nano graphene oxide to a decellularized liver scaffold to strengthen the properties of the scaffold and suppress protease activity of the scaffold, and thus have established an optimum crosslinking condition exhibiting the effects of anti-inflammation and polarization to M2 macrophages. That is, since it is confirmed that nano graphene oxide strengthens the durability of the scaffold so that biodegradation is suppressed and, simultaneously, inflammatory responses that may occur after transplantation are minimized, it is expected that nano graphene oxide can be effectively used in the production and transplantation of clinically applicable artificial organs.

Abstract: Provided is a method for producing highly functional artificial organs, including blood vessels capable of carrying perfusate, by using aptamers. The aptamers, according to the presently claimed subject matter, enhance blood vessel adhesion ability, viability, angiogenesis potential, and the like when used as a coating agent of a decellularized scaffold, and thus can more efficiently reconstruct vasculature than existing antibodies. Therefore, a vascularized artificial liver produced using the aptamers exhibits the effects of reducing thrombogenesis in vivo as well as enhancing liver function, and thus is expected to be applied as a method for treating diseases by using artificial organs produced using the aptamers according to the presently claimed subject matter.

Abstract: A method for generating a target network by performing neural architecture search using optimized search space is provided. The method includes steps of: a computing device (a) if a target data is inputted into the target network, allowing the target network to apply neural network operation to the target data, to generate an estimated search vector; and (b) allowing a loss layer to calculate architecture parameter losses by referring to the estimated search vector and a ground truth search vector, and to perform backpropagation by referring to the architecture parameter losses to update architecture parameter vectors for determining final layer operations among candidate layer operations included in an optimized layer type set corresponding to the optimized search space and wherein the final layer operations are to be performed by neural blocks, within cells of the target network, arranged according to an optimized cell template corresponding to the optimized search space.

Abstract: A method for generating a target network by performing neural architecture search using optimized search space is provided. The method includes steps of: a computing device (a) if a target data is inputted into the target network, allowing the target network to apply neural network operation to the target data, to generate an estimated search vector; and (b) allowing a loss layer to calculate architecture parameter losses by referring to the estimated search vector and a ground truth search vector, and to perform backpropagation by referring to the architecture parameter losses to update architecture parameter vectors for determining final layer operations among candidate layer operations included in an optimized layer type set corresponding to the optimized search space and wherein the final layer operations are to be performed by neural blocks, within cells of the target network, arranged according to an optimized cell template corresponding to the optimized search space.