Abstract: The present invention relates to a communication line. The communication line according to an embodiment of the present invention includes a shielding portion including a shielding having a hollow tubular shape, a core portion including a dielectric core that is located inside the shielding portion and extends in a longitudinal direction, and one rib that is located between the shielding portion and the core portion and connects the shielding portion and the core portion.

Abstract: The present invention relates to a communication line. The communication line according to an embodiment of the present invention includes at least one core portion including a dielectric core extending in a longitudinal direction and a rib member formed on an outer surface of the dielectric core, and a shielding portion including a shielding having a hollow tubular shape and a rail member formed to extend on an inner surface of the shielding and extending along the shielding in the longitudinal direction, wherein the at least one core portion is inserted into the shielding portion.

Abstract: The present disclosure relates to a mobility capable of automating loading and unloading of a cargo without the aid of manpower and an apparatus for loading and unloading a cargo. The mobility includes a cargo hold that accommodates a cargo; and a loading plate positioned to be spaced apart from a bottom of the cargo hold and installed so as to be able to tilt toward any one side of the mobility in the cargo hold.

Abstract: The present invention relates to a pharmaceutical composition for preventing or treating degenerative brain diseases by using glucagon-like peptide-1 (GLP-1) and an interleukin-1 receptor antagonist (IL-1Ra). A composition comprising a fusion protein including GLP-1 and IL-1Ra, according to the present invention, exhibits the effects of inhibiting the production of amyloid beta, which is known as a material causing Alzheimer's disease, and improving memory and cognitive function. In addition, it has been identified that when a bispecific antibody comprising GLP-1 and an anti-IL-1 antibody or a fusion protein in which IL-1Ra and Fc are linked is administered, amyloid beta plaque deposition in the brain is decreased and a neurogenesis promotion effect is exhibited in Alzheimer's disease model mice. Moreover, it has been identified that when GLP-1 and IL-1Ra are also co-administered, amyloid beta plaque deposition in the brain is decreased in Alzheimer's disease model mice.

Abstract: A vehicular air conditioning system having an air inlet and an air outlet includes a first heating heat exchanger configured to heat air introduced through the air inlet, a second heating heat exchanger configured to heat air passing through the first heating heat exchanger or bypassing the first heating heat exchanger, and a control part configured to control the first heating heat exchanger and the second heating heat exchanger according to a passenger room heating load so that when the heating load decreases to below a preset value in a heating mode in which the first heating heat exchanger and the second heating heat exchanger are operated simultaneously, the first heating heat exchanger is first turned off and only the second heating heat exchanger is operated.

Abstract: An apparatus is provided that checks for short circuits. The apparatus includes a support plate supporting the bottom surface of a center area of an electrode assembly, a pressurization unit that includes a first pressurization member pressurizing a top surface of the center area of the electrode assembly and a second pressurization member pressurizing opposite edge areas of the electrode assembly and a short circuit measurement unit applying voltage to the electrode assembly to check for a short circuit. The pressurization unit is configured to partially pressurize the entire upper and lower surfaces of the electrode assembly per an area.

Abstract: Disclosed herein is an apparatus and method for executing a magic state distillation circuit in a logical qubit quantum system. The apparatus outputs a distilled magic state |Y>L by executing a magic state |Y>L distillation circuit in which multiple multi-target CNOT operations are performed in parallel and outputs a distilled magic state |A>L by executing a magic state |A>L distillation circuit in which multiple multi-target CNOT operations are performed in parallel. The magic state |Y>L distillation circuit is configured with three code blocks, code blocks 1 and 2 being configured with multiple multi-target CNOT operations and code block 3 being configured with SL operations and measurement operations, and the magic state |A>L distillation circuit is configured with three code blocks, code blocks 1 and 2 being configured with multiple multi-target CNOT operations and code block 3 being configured with TL+ operations and measurement operations.

Abstract: A method for searching a neural network architecture using supernets comprises the steps of: (a) searching for subnets that can be extracted from a set search space; (b) counting the number of non-linear activation functions included in each subnet for each of the searched subnets; (c) grouping the searched subnets based on the counted number of non-linear activation functions; (d) assigning the subnet groups to multiple supernets; (e) searching for a neural network having an optimal architecture based on operation blocks of the subnet groups assigned to each of the multiple supernets.

Abstract: An apparatus for loading and unloading cargo, capable of loading cargo while distributing the weight of the cargo and unloading the cargo regardless of the loading order of the cargo, is provided. The apparatus for loading and unloading cargo may include: a base portion; a rail installed on the base portion; a plurality of movable plates disposed on the rail, supporting the cargo, and moving along the rail; and a raising-lowering portion connected between the base portion and a body so that the base portion can be raised and lowered.

Abstract: A method of reinforcement learning of a neural network device for generating a verification vector for verifying a circuit design comprising a circuit block includes inputting a test vector to the circuit block, generating one or more rewards based on a coverage corresponding to the test vector, the coverage being determined based on a state transition of the circuit block based on the test vector, and applying the one or more rewards to a reinforcement learning.

Abstract: A method of reinforcement learning of a neural network device for generating a verification vector for verifying a circuit design comprising a circuit block includes inputting a test vector to the circuit block, generating one or more rewards based on a coverage corresponding to the test vector, the coverage being determined based on a state transition of the circuit block based on the test vector, and applying the one or more rewards to a reinforcement learning.

Abstract: The present invention relates to a fusion protein dimer comprising glucagon-like peptide-1 (GLP-1) and an interleukin-1 receptor antagonist (IL-1Ra), and a pharmaceutical composition for treating a metabolic disease using the same. It was confirmed that the fusion protein dimer significantly acts as a GLP-1 hormone and efficiently binds to an IL-1 receptor, and thus has an excellent inhibitory effect on the signaling of IL-1? caused by inflammasomes. Therefore, the fusion protein dimer according to the present invention has the combined efficacy of GLP-1 and an IL-1 receptor antagonist and can be effectively used for treatment and prevention of metabolic diseases such as diabetes, obesity, and hyperlipidemia, and thus has a high possibility of being industrially used.

Abstract: The present invention relates to a fusion protein dimer comprising an IgE Fc receptor alpha subunit extracellular domain (Fc?RI?-ECD) and a fragment of anti-IL-4R antibody; and a composition for treating allergic diseases, comprising the same. The fusion protein dimer according to the present invention exhibits an excellent IgE-binding ability and an excellent serum IgE level-reducing effect. In addition, the present invention elicits a hyperimmune response of IgE, and thus has an excellent effect of inhibiting the activity of cytokines inducing allergic diseases, such as IL-4 and IL-13, and thus may be applied as a medicine for the use of treating or preventing IgE-mediated allergic diseases.

Abstract: The present invention relates to a fusion protein comprising an anti-LAG-3 antibody and IL-2 or a variant thereof. In the fusion protein according to the present invention, the anti-LAG-3 antibody moiety may bind to LAG-3, thereby regulating the binding of LAG-3 and MHCII. Moreover, the IL-2 protein or a variant thereof may regulate the activity of T cells. Therefore, a pharmaceutical composition comprising the fusion protein increases the immune activity in vivo and can be effectively used as an anticancer agent, and thus is highly industrially applicable.

Abstract: The present invention relates to a pharmaceutical formulation with enhanced stability of a fusion protein dimer comprising a modified IL-2 protein and a CD80 protein. The fusion protein dimer comprising an IL-2 protein and a CD80 protein can not only activate immune cells owing to IL-2, but also effectively regulate Treg cells owing to CD80. When the formulation according to the present invention is applied to a fusion protein dimer comprising an IL-2 protein and a CD80 protein, the stability of the fusion protein dimer is significantly increased, and it can be used as a liquid formulation. Accordingly, the commercial applicability of the fusion protein dimer can be increased.

Abstract: The present invention relates to a method for recovering metals using an adsorbent, which comprises preparing a leachate comprising metal ions and cyanides, wherein the metal ions comprise gold ions and copper ions; and in a state where the leachate has a cyanide (CN) concentration of 0.1 ppm or greater, adding to the leachate an adsorbent, which has an open circuit potential value between the open circuit potential value of the gold ions and that of the copper ions; and selectively adsorbing the copper ions to the adsorbent.

Abstract: A method of reinforcement learning of a neural network device for generating a verification vector for verifying a circuit design comprising a circuit block includes inputting a test vector to the circuit block, generating one or more rewards based on a coverage corresponding to the test vector, the coverage being determined based on a state transition of the circuit block based on the test vector, and applying the one or more rewards to a reinforcement learning.

Abstract: A device for verifying a circuit design including a first circuit block and a second circuit block includes a verification vector generator and a design verifier. The verification vector generator determines a first verification vector by performing reinforcement learning through neural network computation based on a coverage corresponding to a first test vector, the coverage being determined based on a state transition of the first circuit block generated by inputting the first test vector to the first circuit block. The design verifier performs design verification for the first circuit block by using the first verification vector.

Abstract: The present invention relates to a method for recovering metals using an adsorbent, which comprises preparing a leachate comprising metal ions and cyanides, wherein the metal ions comprise gold ions and copper ions; and in a state where the leachate has a cyanide (CN) concentration of 0.1 ppm or greater, adding to the leachate an adsorbent, which has an open circuit potential value between the open circuit potential value of the gold ions and that of the copper ions; and selectively adsorbing the copper ions to the adsorbent.

Abstract: A device for verifying a circuit design including a first circuit block and a second circuit block includes a verification vector generator and a design verifier. The verification vector generator determines a first verification vector by performing reinforcement learning through neural network computation based on a coverage corresponding to a first test vector, the coverage being determined based on a state transition of the first circuit block generated by inputting the first test vector to the first circuit block. The design verifier performs design verification for the first circuit block by using the first verification vector.