Abstract: A method of a first communication node may comprise: transmitting, to a second communication node, an initiation signal indicating to initiate a collection procedure of training data for a neural network; transmitting, to the second communication node, an information signal including network parameters of the first communication node; receiving, from the second communication node, the training data in response to the information signal; training the neural network using the training data; determining optimal network parameters using the trained neural network; and performing communication with the second communication node using the optimal network parameters.

Abstract: One embodiment of the present invention provides a method of manufacturing an electronic device using a cyclic doping process including i) an operation of forming a unit transfer thin film including a two-dimensional material on a transfer substrate, ii) an operation of doping the unit transfer thin film in a low-damage doping process, iii) an operation of transferring the unit transfer thin film doped according to the operation ii) on a transfer target substrate, and iv) an operation of repeatedly performing the operations i) to iii) several times to reach a target thickness.

Abstract: A free motion headform (FMH) impact performance prediction device using artificial intelligence includes a data processing processor configured to generate an image by extracting a pre-processed test target image, generated by pre-processing test target design data, using a pre-trained model and generate a pre-processed test target distance value by pre-processing the test target design data. The FMH input performance prediction device also includes a machine learning processor configured to concatenate the image generated by extraction on the basis of the pre-trained model and the pre-processed test target distance value and to predict impact performance using a neural network in which parameters are updated by learning based on an image obtained by pre-processing existing design data and existing impact amount data corresponding to the existing design data. The FMH input performance prediction device further includes an output processor configured to output a value learned by the machine learning processor.

Abstract: The pharmacokinetics and key technologies of the present invention are summarized in FIG. 1. Particularly, malignant misfolded proteins such as mutant huntingtin and alpha-synuclein are coagulated and grow into oligomeric coagulum ({circle around (1)}, {circle around (2)}, fibrillar coagulum ({circle around (3)}) and eventually inclusion body ({circle around (4)}). Young neurons produce a large amount of Nt-Arg through N-terminal arginylation ({circle around (5)}) of vesicle chaperones such as BiP secreted into the cytoplasm, and then arginylated BiP (R-BiP) is secreted binds to the misfolded proteins ({circle around (6)}). As a ligand, the Nt-Arg of R-BiP binds to the p62 ZZ domain ({circle around (7)}), and the normally inactivated closed form of p62 is changed to an open form, leading to structural activation ({circle around (8)}). As a result, PB1 and LC3-binding domains are exposed.

Abstract: The pharmacokinetics and key technologies of the present invention are summarized in FIG. 1. Particularly, malignant misfolded proteins such as mutant huntingtin and alpha-synuclein are coagulated and grow into oligomeric coagulum ({circle around (1)}, {circle around (2)}, fibrillar coagulum ({circle around (3)}) and eventually inclusion body ({circle around (4)}). Young neurons produce a large amount of Nt-Arg through N-terminal arginylation ({circle around (5)}) of vesicle chaperones such as BiP secreted into the cytoplasm, and then arginylated BiP (R-BiP) is secreted binds to the misfolded proteins ({circle around (6)}). As a ligand, the Nt-Arg of R-BiP binds to the p62 ZZ domain ({circle around (7)}), and the normally inactivated closed form of p62 is changed to an open form, leading to structural activation ({circle around (8)}). As a result, PB1 and LC3-binding domains are exposed.