Abstract: The present disclosure relates to an IoT-based cooling vest including a clothing part 100, a controller 200, a temperature collector 300, a user terminal 400, and a server unit to improve work safety and wearing pleasantness for a wearer by enabling temperature to be adjusted through both direct operation and previous operation through a server.

Abstract: An IoT-based smart thermal wear includes thermal material that retains heat allowing wearers to work more efficiently and lower any risk of accidents, the IoT-based smart thermal wear being linked to a smart device and comprising an outer member, inner member, heat-insulating filler, heating-producing material, power unit, and a control unit so as to facilitate effective temperature control.

Abstract: An ICT technology-based piece of cooling clothing includes: an outer cover forming an external shape of the piece of cooling clothing and having a receiving pocket; a lining provided to be disposed toward the skin of a wearer that is the inside of the outer cover; a cooling pad unit disposed between the outer cover and the lining or inside the lining, made of a rectangular flexible material having short sides and long sides to transmit coolness to a wearer, and having a cooling inflow hole, cooling channels, and a cooling outflow hole; a cooling unit supplying cool air by being connected to the cooling inflow hole of the cooling pad unit and absorbing heat, which is generated by the cooling pad unit, through the cooling outflow hole, thereby performing heat dissipation and cooling; a controller provided to collect temperature information from at least any one of the cooling pad unit or the cooling unit through a temperature information collector and to transmit a cooling control signal to the cooling unit; an

Abstract: The invention relates to a process for manufacturing bis(fluoro sulfonyl)imide salt(s) (MFSI) comprising at least a step of reacting an ammonium salt of bis(fluorosulfonyl)imide (NH4FSI) with a fluorine-containing alkoxide. The invention also relates to a process for preparing the fluorine-containing alkoxide.

Abstract: The present disclosure relates to a method for preparing salts of bis(fluorosulfonyl)imide and to a method for preparing alkali metal salts of bis(fluorosulfonyl)imide from said bis(fluorosulfonyl)imide salts. More specifically. the invention provides a new method for producing these salts of bis(fluorosulfonyl)imide which is implementable at industrial scale and providing high-purity bis(fluorosulfonyl)imide salts.

Abstract: Disclosed are a method and apparatus for estimating lithofacies by learning well logs. The method includes a model formation step of forming lithofacies estimation model to output lithofacies corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having lithofacies corresponding to measured depth as answers, and lithofacies estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which lithofacies are to be estimated, the values being arranged corresponding to measured depth, to the lithofacies estimation model to estimate lithofacies corresponding to measured depth.

Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.

Abstract: The present invention relates to: an adenosine derivative capable of acting as an antagonist on A2A and A3 adenosine receptors through the introduction of substituents into the 2nd and 8th carbons and 6th and/or 9th amine(s); a pharmaceutical composition including the same; and a method for preparing the same, wherein the adenosine derivative regulates the activity of an A2A or A3 adenosine receptor, and thus can effectively prevent or treat brain diseases, cardiovascular diseases, sleep disorders, inflammation, immune system diseases and the like in which the receptors are involved.

Abstract: A pharmaceutical composition utilizes a cultured product obtained by differentiating a mesenchymal stem cell into a neuron. The pharmaceutical composition may be used to treat Parkinson's disease. The cultured product exhibits a preventive or therapeutic effect against Parkinson's disease by inhibiting dopaminergic neuron apoptosis by reducing insoluble alpha-synuclein aggregated in the neuron.

Abstract: The present invention relates to a pharmaceutical composition for preventing or treating coronavirus disease 19 (COVID-19) and specifically, to a pharmaceutical composition containing a carbocyclic nucleoside derivative represented by Chemical Formula A-1 or A-2 or a pharmaceutically acceptable salt thereof.

Abstract: Provided is an IoT-based smart thermal wear. More specifically, provided is clothing including thermal material that retains heat allowing wearers to work more efficiently and lower any risk of accidents, the IoT-based smart thermal wear being linked to a smart device and comprising an outer member, inner member, heat-insulating filler, heating-producing material, power unit, and a control unit so as to facilitate effective temperature control.

Abstract: A storage device includes a nonvolatile memory device including a plurality of nonvolatile memories; a controller configured to allocate write blocks of the nonvolatile memory device to a plurality of streams provided from an outside; and a buffer memory configured to store a result of allocation of the write blocks to the plurality of streams, wherein the controller is further configured to reallocate the write blocks of the nonvolatile memory device to the plurality of streams based on the result of allocation stored in the buffer memory.

Abstract: A memory storage device is capable of improving reliability of a memory system. The memory storage device comprises a memory controller, and a non-volatile memory connected to the memory controller. A method includes receiving, by the memory controller, a command from a host device, the command requesting lost LBA (logical block address) information resulting from a system shutdown of the memory storage device, in response to the command, providing, by the memory controller, the lost LBA information, and receiving, by the memory controller, recovered data corresponding to the lost LBA information, wherein the lost LBA information includes at least one of the number of LBAs lost by system shutdown, an LBA list lost by system shutdown, and deletion of a previous LBA list lost by system shutdown.

Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.

Abstract: A polyethylene glycol derivative compound is represented by Formula 1 described in the detailed description. In Formula 1, n is a natural number of 30 to 115, and R1 and R2 are C1 to C5 alkyl that are identical to or different from each other.

Abstract: An open channel solid state drive includes a flash memory including a first block and a controller which controls the flash memory, the controller receiving write data and a physical address of the first block from a host and attempting a write of the data in the first block. The controller generates first data which is not written in the first block among the write data when a power-off occurs during writing attempt. The write data includes the first data and second data already written in the first block. The controller determines whether successive writing of the first data in the first block is possible or impossible. If the successive writing is possible, the controller successively writes the data in the first block. If the successive writing is impossible, the host or the controller writes the first data and the second data in a second block of the flash memory.

Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.

Abstract: Provided are a microorganism as Lactobacillus plantarum having anti-cancer activity, a composition including the same, and a method of preventing or treating a cancer by using the same.

Abstract: A method for producing isoprene includes culturing E. coli, which has isoprene productivity and in which a gene encoding a recA protein is attenuated or deleted, in a medium containing a carbon source. Therefore, a great amount of isoprene may be produced within a short period of time, and thereby considerably decreasing isoprene production unit costs.

Abstract: A memory device executes a method of controlling power of the memory device. The memory device includes a host interface which receives a command from a host and controls an access to the memory device by the host, a register which is accessible by the host and includes a plurality of different regions, a memory access monitor which monitors which region of the plurality of regions the host accesses, and in response thereto generates a monitoring signal, and a power control manager which selects a power-up group of modules of the memory device in accordance with the monitoring signal and which supplies power to the selected power-up group of modules while not supplying power to any modules of the memory device not belonging to the selected power-up group.