Abstract: Disclosed are a content box providing method and a user terminal.

Abstract: The present invention relates to a system for diagnosing small bowel cleanliness. The system may comprise: a similarity analysis unit for analyzing to select a representative image of similar small bowel images from among a plurality of small bowel images; an image classification unit for, when a series of a plurality of small bowel images in which cleanliness is to be diagnosed are received in a state where the plurality of small bowel images have been learned, classifying small bowel cleanliness according to scores by predicting the small bowel cleanliness by applying the representative image to a learning result; and a cleanliness diagnosis unit for calculating final small bowel cleanliness for the series of the plurality of small bowel images on the basis of a score for small bowel cleanliness of the representative image and the number of small bowel images similar to the representative image.

Abstract: The present invention relates to a plant-based COVID-19 variant recombinant spike protein expression vector, and a recombinant protein using the expression vector, wherein a plant expression system is used such that the recombinant protein does not have the disadvantages of animal-derived recombinant proteins and exhibits an excellent SARS coronavirus 2 prevention and treatment effect, and thus can be effectively utilized as a safe composition for preventing and treating COVID-19.

Abstract: The present invention relates to an attenuated mumps virus and a live vaccine comprising the same. The attenuated mumps virus vaccine of the present invention can be effectively used for additional vaccination to control the occurrence of breakthrough infection and the epidemic of mumps due to differences in genotypes of existing vaccine strains and epidemic strains and decreased immunity.

Abstract: A link shared through a chat room in a chat application is displayed. When a selection of the link is received, a content execution result corresponding to the link through an in-app browser of the chat application or an external browser distinct from the chat application is displayed. A notification for a new chat message is then displayed while the content execution result is being displayed through the in-app browser or the external browser. When a selection for the notification of the new chat message is received, the display of the content execution result is switched to a display of the chat room in which the new chat message was received. A content box, which enables access to the content execution result, is displayed on the switched display of the chat room.

Abstract: The present invention relates to an organ classification system, and the system for classifying the type of an organ may comprise: a search unit for searching an input image for a frame where an image regarding an organ starts, on the basis of a plurality of organ images pre-learned according to types of organs; an obtainment unit for obtaining an image of a found frame from the input image; and a storage unit for storing location information of the found frame in the input image.

Abstract: A positive electrode with excellent life characteristics and high capacity is provided by using a positive electrode additive of ZrO2-x(0<x<2) to complement structural stability of a high-nickel positive electrode active material. A method of preparing the same, and a lithium secondary battery including the positive electrode are also provided.

Abstract: Provided is an apparatus and method for predicting the remaining lifetime of an environment data collection sensor in a livestock house. The method for predicting the remaining lifetime of an environment data collection sensor in a livestock house includes (a) collecting livestock house environment information, (b) detecting an error of a sensor from the collected livestock house environment information, (c) generating a dataset for learning, (d) generating a sensor lifetime prediction model to performing learning, and (e) predicting a lifetime of the sensor using a result of the learning.

Abstract: Provided are an apparatus and method for controlling a feed supply amount based on feed intake intention of livestock. The apparatus for controlling a feed supply amount based on feed intake intention of livestock includes a feed intake intention quantification part which perceives feed intake intention of livestock by using image information obtained by photographing a certain region within a livestock farm and quantifies the feed intake intention of livestock as a feed intake intention value, and a feed intake intention-based feed supply amount control part generating a command for controlling a feed supply amount in consideration of the feed intake intention value.

Abstract: A server according to an embodiment includes a processor configured to receive a friend add request for a target account from a user terminal accessed with a user account; based on one of the user account and the target account being a protected account, transmit an approval request for the friend add request to a protector account connected to the protected account; and based on receiving a reply to the approval request from the protector terminal, add the target account to a friend list of the user account.

Abstract: A user terminal according to an embodiment may include a processor configured to: based on accessing an instant messaging server with a user account and the user account being a general account, display a general interface for a plurality of services provided to the general account; and based on the user account being a protected account, display a protected interface in which at least some of the plurality of services provided to the general account is restricted.

Abstract: The present disclosure relates to a system and method for detecting an object abnormality symptom based on a radar micro-Doppler. The system for detecting an object abnormality symptom based on a radar micro-Doppler includes a multiple input multiple output (MIMO) system configured to determine whether an object has a suspicious abnormality symptom by collecting information of the object and a beamforming antenna system configured to form an antenna radiation beam toward the object based on a result of the determination for the object having the suspicious abnormality symptom and to obtain three-dimensional (3D) micro-Doppler information.

Abstract: Disclosed are a content box providing method and a user terminal. The method may comprise the steps of: displaying a link shared through a chat room in a chat application; when a selection for the link is received, displaying a screen of a content execution result corresponding to the link through an in-app browser of the chat application or an external browser distinct from the chat application; displaying a notification for a new chat message while the screen of the content execution result is being displayed through the in-app browser or the external browser; when a selection for the notification of the new chat message is received, switching the screen of the content execution result to a screen of the chat room to which the new chat message received; and displaying a content box, which enables access to the content execution result, on the switched screen of the chat room.

Abstract: A multi-object thermal radiation measuring device may include: a sensing unit including a thermal sensor, and configured to generate a thermal image for a measurement target space based on a detection signal of the thermal sensor; a multi-object thermal radiation measuring unit configured to detect a specific portion of a measurement target object by applying an image recognition technology to the thermal image, and acquire and store a thermal radiation measurement value of the specific portion; a disease symptom detection unit configured to determine whether each measurement target object is abnormal, and detect a disease symptom of an abnormal object based on a result obtained by precisely measuring the thermal radiation of the abnormal object; and a driving unit configured to rotate the sensing unit according to a command transferred by any one of the multi-object thermal radiation measuring unit and the disease symptom detection unit.

Abstract: Disclosed is a machine learning-based media success prediction through plot summaries According to an embodiment, a method comprises performing preprocessing on text data including a plot summary, calculating a sentiment score from the preprocessed text data using a first model, generating first input data using the calculated sentiment score, generating second input data from the preprocessed data using a second model, and determining a candidate class of content corresponding to the plot summary by applying the first input data and the second input data to a pre-trained third model. The candidate class includes a first class indicating success and a second class indicating failure.

Abstract: Disclosed is a monitoring method for visualizing a location of an inactive livestock in a livestock pen. This method includes extracting, by a video analysis device, livestock objects from a video image acquired for each frame and subsequently calculating center coordinates indicating a location of the inactive livestock based on coordinates of the extracted livestock objects, displaying, by a display device, an object icon representing the inactive livestock in a display region mapped to the calculated center coordinate among a plurality of display regions defined on a display screen, and emitting light by light emitting units selected based on the calculated center coordinate, among a plurality of lighting units installed in a livestock structure.

Abstract: A system and method of monitoring in-pen livestock by using edge information about livestock are provided. The method controls a plurality of edge lightings and cameras installed in a pen by using a synchronization signal and accurately acquires and synthesizes edge information about livestock obtained on the basis of a control result to generate monitoring information about livestock.

Abstract: The present invention relates to a system for diagnosing small bowel cleanliness. The system may comprise: a similarity analysis unit for analyzing to select a representative image of similar small bowel images from among a plurality of small bowel images; an image classification unit for, when a series of a plurality of small bowel images in which cleanliness is to be diagnosed are received in a state where the plurality of small bowel images have been learned, classifying small bowel cleanliness according to scores by predicting the small bowel cleanliness by applying the representative image to a learning result; and a cleanliness diagnosis unit for calculating final small bowel cleanliness for the series of the plurality of small bowel images on the basis of a score for small bowel cleanliness of the representative image and the number of small bowel images similar to the representative image.

Abstract: Provided is an apparatus and method for predicting the remaining lifetime of an environment data collection sensor in a livestock house. The method for predicting the remaining lifetime of an environment data collection sensor in a livestock house includes (a) collecting livestock house environment information, (b) detecting an error of a sensor from the collected livestock house environment information, (c) generating a dataset for learning, (d) generating a sensor lifetime prediction model to performing learning, and (e) predicting a lifetime of the sensor using a result of the learning.

Abstract: The present invention relates to an organ classification system, and the system for classifying the type of an organ may comprise: a search unit for searching an input image for a frame where an image regarding an organ starts, on the basis of a plurality of organ images pre-learned according to types of organs; an obtainment unit for obtaining an image of a found frame from the input image; and a storage unit for storing location information of the found frame in the input image.