Abstract: An apparatus for estimating lipid concentration is provided. According to an example embodiment, the apparatus may include a training data collector configured to collect, as training data, a reference lipid concentration measured through blood samples of a plurality of users for a predetermined time period and sensor data obtained through light signals detected from the plurality of users for the predetermined time period and a processor configured to perform preprocessing including a moving average and data augmentation on the obtained sensor data, select a valid variable relevant to a change in lipid concentration based on the preprocessed sensor data and the reference lipid concentration, and generate a lipid concentration prediction model based on the selected valid variable.

Abstract: Methods and compositions for modulating repeat non-ATG protein (RAN protein) translation are provided. In some aspects, the disclosure provides methods of inhibiting RAN protein translation by contacting a cell with an effective amount of an inhibitor of eIF2 phosphorylation or an inhibitor of protein kinase R (PKR). In some embodiments, methods described by the disclosure are useful for treating diseases associated with RAN protein translation, such as certain neurodegenerative diseases.

Abstract: Protein based highly stretchable compositions with ionic conductivity are disclosed herein. Methods for preparing such compositions are also disclosed.

Abstract: The present invention relates to a method of preparing an iron-chromium oxide using an ion-exchange resin. Moreover, the present invention relates to a method of preparing an iron-chromium oxide that can be used as a cathode material for lithium-ion batteries. According to one aspect of the present invention, it has the effect of providing a cathode material for lithium-ion batteries with a high capacitance, while exhibiting a voltage similar to that of a transition-metal oxide (2-4.5 V vs Li+/Li).

Abstract: Disclosed herein is a video decoding method. The video decoding method includes: obtaining a chroma residual joint flag of a current block indicating whether or not a chroma residual joint mode is applied to the current block; obtaining, from a bitstream, a transform skip mode flag for a luma component of the current block and a transform skip mode flag for a first chroma component; when the chroma residual joint flag indicates that a chroma residual joint mode is applied to the current block, determining whether or not a transform skip mode is applied to a second chroma component of the current block, according to the transform skip mode flag for the first chroma component; and, when the chroma residual joint flag indicates that a chroma residual joint mode is not applied to the current block, obtaining, from the bitstream, a transform skip mode flag for the second chroma component of the current block.

Abstract: Disclosed is a positioning device, a position measurement server, and a position measurement system capable of estimating a relatively accurate position on the basis of a signal transmitted from a terminal in a mobile communication system. Particularly, the positioning device acquires channel configuration information of an uplink signal of a target terminal, receives the uplink signal of the target terminal through one or more uplink signal reception units on the basis of the channel configuration information, measures information on the received uplink signal, and transmits the information on the uplink signal of the target terminal to the position measurement server, and the position measurement server receives the information on the uplink signal of the target terminal from the positioning device and calculates a position of the target terminal on the basis of the information on the uplink signal of the target terminal.

Abstract: Disclosed is multi-modal few-shot learning device for user identification using a walking pattern based on deep learning ensemble. The device includes: a walking data collector configured to collect walking data of a user from a smart insole including any one or more of a pressure sensor, an acceleration sensor, and a gyro sensor; a preprocessor configured to convert a series of time series walking data obtained from each of the sensors included in the smart insole into a unit format data set; and an ensemble learner configured to apply an ensemble learning model that provides one final prediction by training CNN series learning and RNN series learning respectively and independently based on the unit-format data set generated by the preprocessor.

Abstract: Disclosed is a solar cell module including a first solar cell unit including a plurality of solar cells and a plurality of condensing layers, which are arranged alternately, a second solar cell unit including a plurality of solar cells and a plurality of condensing layers, which are arranged alternately, and each of the plurality of solar cells of the first solar cell unit and the second solar cell unit includes a first electrode disposed on one side thereof and a second electrode disposed on an opposite side thereof, whereby a visibility, by which the light passes through the solar cell module, is increased by including the plurality of solar cells and the plurality of condensing layers, through which a visual ray may pass.

Abstract: Disclosed are a CHA zeolite membrane and a method of preparing the same, and more particularly, a CHA zeolite membrane having high capacity to separate CO2/N2 and CO2/CH4 even under wet conditions using a membrane produced using a synthetic precursor having a controlled ratio of Si and Al, a method of preparing the same, and a method of capturing and removing carbon dioxide using the membrane.

Abstract: Disclosed are a catalyst for carbonylation of dimethyl ether that has high catalyst activity and can be regenerated using a fluidized bed reactor, and a method for preparing the same. The catalyst for carbonylation of dimethyl ether includes a support having a first density; and ferrierite zeolite catalyst particles bound to a surface of the support via a polymer binder and having a second density smaller than the first density.

Abstract: A variable assembly PC member includes: a plurality of hollow PC modules, each of which has an upper flange and a lower flange spaced apart from each other, and a pair of webs connecting both ends of the upper flange and the lower flange to form a hollow therein; and connectors connecting the plurality of hollow PC modules with each other in the width direction.

Abstract: An apparatus for estimating a state of a battery includes a memory configured to store a program of a neural network including a plurality of pre-trained predictive models and an adaptive hidden layer; and includes at least one processor configured to execute the program. The program includes an instruction for receiving battery data of a target battery, inputting the battery data to the adaptive hidden layer, selecting one predictive model from the plurality of pre-trained predictive models through the adaptive hidden layer, inputting the battery data to the selected predictive model, and outputting prediction data for a remaining useful life of the target battery through the selected predictive model.

Abstract: Provided is an obsessive-compulsive disorder animal model and a production method thereof, in which a neuronal circuit connecting the basolateral amygdala (BLA) and the dorsomedial striatum (DMS) is activated. In the present disclosure, it was confirmed that the BLA and DMS are connected to each other, and that when the BLA-DMS neuronal circuit is activated, there is a large increase in checking, repeating, cleaning, and collecting, which are compulsive behaviors representative of obsessive-compulsive disorder, and a decrease in cognitive flexibility. Therefore, animals in which the BLA-DMS neuronal circuit is activated may be useful as animal models for studying obsessive-compulsive disorder. In particular, the obsessive-compulsive disorder animal model can reproduce all of the compulsive behaviors and thus may become the first animal model to provide an understanding of the interactions between anxiety behaviors and compulsive behaviors, which existing animal models have not been able to provide.

Abstract: Disclosed are a heterogeneous zeolite membrane and a method of preparing the same, and more particularly a heterogeneous zeolite membrane that has CHA and DDR zeolite structures by growing seed particles into a crystal structure different from that of the zeolite membrane and can thus separate CO2/N2 and CO2/CH4 even under wet conditions, a method of preparing the same, and a method of capturing and removing carbon dioxide using the membrane.

Abstract: Small molecule compounds and corresponding dimers having inhibitory activity against pre-miR-21 RNA and related methods for treatment of neoplastic disease such as cancer and especially cancers expressing miR-21 are disclosed.

Abstract: Disclosed herein are methods for removing acetylene from an ethylene gas stream wherein a catalyst reacts with the acetylene to polymerize said acetylene forming an ethylene gas stream substantially free of acetylene.

Abstract: A method for increasing the efficiency of homologous recombination-based gene editing in a plant according to an embodiment of the present invention includes optimizing temperature and photoperiod conditions during tissue culture of plant cells, expressing factors required for homology-directed DNA repair (HDR) and factors for increasing the HDR efficiency by using a multiple replicon, or regulating the HDR pathway or non-homologous end joining (NHEJ) pathway.

Abstract: The present disclosure relates to a method and apparatus for phase unwrapping of an SAR interferogram based on an SAR offset tracking surface displacement model, in which the apparatus according to the present disclosure includes a Synthetic Aperture Radar (SAR) image acquisition unit that acquires two SAR images of a same object acquired at different times, a single look complex (SLC) image production unit that produces two SLC images corresponding to each of the two SAR images, an interferogram production unit that generates an SAR interferogram using SAR interferometry for the two SLC images, a surface displacement model production unit that produces an offset tracking surface displacement model using SAR offset tracking method for the two SLC images, an unwrapped residual interferogram generation unit that generates a residual interferogram by subtracting the SAR interferogram and the offset tracking surface displacement model, and generates an unwrapped residual interferogram by unwrapping the generated

Abstract: An apparatus with torque vectoring control of a vehicle with an independent driving motor includes: one or more processors configured to: measure driving information including a steering angle, a yaw rate, a longitudinal velocity, lateral acceleration and longitudinal acceleration of the vehicle; calculate a driving aggressiveness (DA) index representing driving aggressiveness of a driver through an exponential weighted moving average (EWMA) operation using the driving information; calculate a target yaw rate based on the driving information and the DA index; and generate a control moment based on the driving information, the DA index and the target yaw rate, wherein, for the calculating of the DA index, the one or more processor are configured to calculate the DA index to have a higher value than a case of generating only longitudinal acceleration or a case of generating only lateral acceleration, in response to the longitudinal acceleration and the lateral acceleration being generated at a same time.

Abstract: A method for performing positron emission tomography (PET) image denoising using a dilated convolutional neural network system includes: obtaining, as an input to the dilated convolutional neural network system, a noisy image; performing image normalization to generate normalized image data corresponding to the noisy image; encoding the normalized image data using one or more convolutions in the dilated convolutional neural network, whereby a dilation rate is increased for each encoding convolution performed to generate encoded image data; decoding the encoded image data using one or more convolutions in the dilated convolutional neural network, whereby dilation rate is decreased for each decoding convolution performed to generate decoded image data; synthesizing the decoded image data to construct a denoised output image corresponding to the noisy image; and displaying the denoised output image on an image display device, the denoised output image having enhanced image quality compared to the noisy image.