Abstract: Provided is a bioelectrode having excellent mechanical and chemical durability as well as excellent air permeability and flexibility, and specifically, the bioelectrode includes: a nanofiber elastic mesh sheet including a polymer nanofiber formed by electrospinning; a first metal nanowire network which is embedded on the nanofiber elastic mesh sheet, but is at least partially exposed to the outside; and an uneven layer resulting from a second metal which is placed on the first metal nanowire network exposed to the outside.

Abstract: The present invention relates to a carbon structure, which can stably support a high content of sulfur in pores and has excellent electrical conductivity properties, wherein the carbon structure is a polyhedron, of which the center on at least one side is concave, and is a highly graphitized nitrogen-doped porous carbon structure. Therefore, the stability of lithium-sulfur batteries can be improved by effectively suppressing a s shuttle phenomenon occurring during an electrochemical reaction of lithium-sulfur batteries containing, as a cathode active material, the carbon structure supporting sulfur as well as minimizing the volume change resulting from sulfur and reduced lithium sulfide.

Abstract: Provided are a nitrogen-doped composite having a high degree of ordering and a method for producing the same. The composite includes a carbon support and a nitrogen-doped nanoparticle supported on the carbon support, wherein the nanoparticle includes an alloy including platinum and a metal other than platinum and has a coercivity of 7 kOe or more.

Abstract: Disclosed herein are a pharmaceutical composition comprising an inhibitor of Olfr164 for the prevention or treatment of sepsis, a method for the prevention or treatment of sepsis, a use of Olfr164 as a marker for selecting sepsis therapeutic agents, a screening method for sepsis therapeutics using same, and a transgenic animal in which Olfr164 is knocked out. The composition comprising Olfr164 inhibitor can effectively prevent or treat sepsis. Additionally, sepsis therapeutics can be effectively screened by comparing the expression level or activity of Olfr164 before and after administering the candidate substance.

Abstract: The present disclosure relates to an electrode for a lithium metal battery, the electrode including: a current collector; and a silica layer containing plate-like porous silica, wherein pores of the plate-like porous silica have a cylindrical structure, and a lithium metal battery including the same. The formation of lithium dendrites on a surface of a negative electrode is prevented, such that stability of the battery may be improved and long-term cycle performance and rate capability may be improved.

Abstract: Disclosed is a guidewire steering micro-robot. The guidewire steering micro-robot includes a guidewire, and a steering unit provided at an end portion of the guidewire, the steering unit including a magnetic body to control and steer a position of the guidewire by an external magnetic field.

Abstract: Memory systems and methods for operating the same. A memory system comprises a first memory, a second memory having an operating speed different from that of the first memory, a storage unit configured to store an instruction, a prefetcher configured to update prefetcher data in response to occurrence of cache hits and a processor configured to execute the instruction stored in the storage unit. When the instruction is executed, the processor is configured to generate prefetcher friendly data by filtering the prefetcher data, set a prefetcher friendly bit in a first pointer area corresponding to the first memory and a second pointer area corresponding to the second memory based on the prefetcher friendly data, and determine whether data of the first pointer area and the second pointer area are migrated, in consideration of a reference bit and the prefetcher friendly bit of the first and second pointer areas.

Abstract: Disclosed is an input impedance boosting apparatus. More particularly, an input impedance boosting apparatus including an analog-to-digital converter; an input capacitor connected to an input terminal of the analog-to-digital converter and a ground line and including a first shielding metal formed thereunder; a feedback capacitor connected onto a positive feedback loop of the analog-to-digital converter and including a second shielding metal formed thereunder; and an impedance booster connected to both ends of the feedback capacitor and configured to boost an input impedance based on a first parasitic component formed between the input capacitor and the first shielding metal and a second parasitic component formed between the feedback capacitor and the second shielding metal is provided.

Abstract: An electrode catalyst is configured such that non-noble metal particles, noble metal particles or nitride-doped noble metal particles are supported on a carbon support, wherein the carbon support has a 2D planar crystal structure or a 3D polyhedral crystal structure and is doped with nitrogen, thereby exhibiting increased catalytic activity.

Abstract: An electrode catalyst is configured such that non-noble metal particles, noble metal particles or nitride-doped noble metal particles are supported on a carbon support, wherein the carbon support has a 2D planar crystal structure or a 3D polyhedral crystal structure and is doped with nitrogen, thereby exhibiting increased catalytic activity.

Abstract: The present invention pertains to: a switching device based on spin-orbit torque; and a method for manufacturing same. A switching device based on spin-orbit torque according to an embodiment comprises: a heavy metal input terminal extending in a first direction; and an information terminal extending in a second direction perpendicular to the first direction on the heavy metal input terminal and having a ferromagnetic layer, wherein the information terminal includes a first region adjacent to the heavy metal input terminal and a second region not adjacent to the heavy metal input terminal, and magnetization reversal of the ferromagnetic layer can be controlled on the basis of a non-uniform spin Hall effect (SHE) caused by the first region and the second region.

Abstract: The present invention relates to a three-dimensional magnetic field measurement device comprising a plurality of modules, wherein each of the modules is configured to be extensible in x-axis, y-axis, and z-axis directions, whereby magnetic field data in a three-dimensional space can be measured in real time without moving the device, a measurement area can be easily enlarged and reduced, power efficiency can be improved, and the size and weight of the device can be reduced.

Abstract: A processor includes a processing core configured to process each of a plurality of requests by accessing a corresponding one of a first memory and a second memory, a latency monitor configured to generate first latency information and second latency information, the first latency information comprising a first access latency to the first memory, and the second latency information comprising a second access latency to the second memory, a plurality of cache ways divided into a first partition and a second partition, and a decision engine configured to allocate each of the plurality of cache ways to one of the first partition and the second partition, based on the first latency information and the second latency information.

Abstract: A neurotransmitter concentration measuring apparatus includes a data collecting unit configured to collect fast-scan cyclic voltammetry (FSCV) data where capacitive charging current is included in faradaic current varying depending on injection concentration for each of multiple neurotransmitters, a data processing unit configured to process the FSCV data as second-derivative-based background removal (SDBR) data in a faradaic current form where the charging current is excluded, based on a second derivative for voltage of an individual voltammogram generated for each scan by background subtraction in the FSCV data, a deep learning processing unit configured to build a deep learning model that simultaneously estimates the concentration of the multiple neurotransmitters by learning the SDBR data with a deep learning network and a measurement result providing unit configured to simultaneously provide concentration measurement results of a neurotransmitter varying depending on real-time injection for each of the m

Abstract: The present invention relates to a successive approximation register (SAR) analog-to-digital converter and the SAR analog-to-digital converter according to an example embodiment includes an input unit including at least one SAR capacitor; a recycling integrator connected to the input unit and including k integration capacitors configured to store the respective residue information generated in an integration process performed k times, respectively, (where k denotes a positive integer of 2 or more) using a single amplifier; a comparator connected to an output terminal of the recycling integrator; and a SAR controller connected to an output terminal of the comparator and configured to generate a digital signal corresponding to output of the comparator.

Abstract: The present invention relates to a current-to-digital converter and the current-to-digital converter according to an example embodiment includes an integrator connected to a current source that outputs input current; a quantizer connected to the integrator and configured to generate a first digital output code corresponding to alternating current (AC) in the input current; a first loop circuit formed on a delta-sigma (??) loop that connects an input terminal of the integrator and an output terminal of the quantizer; a second loop circuit formed on a truncation-noise-shaped baseline-servo (TNS-BS) loop that connects the input terminal of the integrator and the output terminal of the quantizer and configured to generate a second digital output code corresponding to direct current (DC) in the input current; and an adder configured to generate a final digital output code by adding the first digital output code and the second digital output code.

Abstract: An apparatus with a neural network operation of homomorphic encrypted data includes: one or more processors configured to: generate homomorphic conjugation data of encrypted data based on the encrypted data, wherein the encrypted data corresponds to an output of each of a plurality of layers included in a neural network; and remove noise of the encrypted data based on the encrypted data and the homomorphic conjugation data.

Abstract: Provided is a cellulose derivative composition for a secondary battery binder, a method of preparing a composition for a secondary battery electrode, including the same, and a secondary battery including the same. According to the inventive concept, the cellulose derivative composition for a secondary battery binder may include a compound represented by Formula 1 below.

Abstract: The present disclosure relates to the preparation of citrullinated vimentin antigen-specific immune tolerogenic dendritic cells and a composition for preventing or treating heart failure after myocardial infarction comprising the same. According to the present disclosure, it is confirmed that immune tolerogenic dendritic cells differentiated by treating immature dendritic cells with citrullinated vimentin regulate the expression of immune-related factors and have an excellent therapeutic effect on heart failure caused by myocardial infarction.

Abstract: An apparatus and method with encrypted data neural network operation is provided. The apparatus includes one or more processors configured to execute instructions and one or more memories storing the instructions, wherein the execution of the instructions by the one or more processors configures the one or more processors to generate a target approximate polynomial, approximating a neural network operation, of a portion of a neural network model, using a determined target approximation region, for the target approximate polynomial, based on a first approximate polynomial generated based on parameters corresponding to a generation of the first approximate polynomial, a maximum value of input data to the portion of the neural network layer, and a minimum value of the input data, and generate a neural network operation result using the target approximate polynomial and the input data.