Abstract: The present invention relates to a massage device. More specifically, a massage device having a separation-type pressing part is disclosed. The massage device having a separation-type pressing part, according to one aspect of the present invention, comprises: a pressing part having a first pressing member and a second pressing member that are provided in the width direction so as to press the body of a user, and having a first pressing plate member and a second pressing plate member that support the first pressing member and the second pressing member, respectively; and a lifting/lowering part having a first lifting/lowering member and a second lifting/lowering member that lift/lower the first pressing plate member and the second pressing plate member, respectively, and having a first lifting/lowering driving member and a second lifting/lowering driving member that provide driving force of the first lifting/lowering member and the second lifting/lowering member, respectively.

Abstract: The present invention relates to: a thermo-sensitive poly(organophosphazene) polymer loaded with a drug; a pharmaceutical composition for preventing or treating inflammatory diseases, comprising same; and the like. An injectable polymer nanoparticle hydrogel system comprising the hydrogel has a long-term anti-inflammatory effect and can slowly release a drug at a therapeutically-effective concentration, and thus can be used in the prevention and treatment of various inflammatory diseases such as osteoarthritis.

Abstract: A memory controller comprises a command interface to transmit a memory command to a plurality of memory devices associated with the memory controller. The memory controller also comprises an acknowledgement interface to receive an acknowledgment status packet from the plurality of memory devices over a shared acknowledgement link coupled between the memory controller and the plurality of memory devices, the acknowledgement status packet indicating whether the command was received by the plurality of memory devices. In addition, the memory controller comprises a memory controller core to decode the acknowledgment status packet to identify a portion of the acknowledgement status packet corresponding to each of the plurality of memory devices.

Abstract: Methods, devices, and systems for training a deep learning recommendation model (DLRM), including: offloading one or more storage tables to a memory device; training a DLRM based on training data, wherein during the training, a storage table prefetched from the memory device is loaded according to a training phase; and storing feature data obtained during the training into the loaded storage table.