Abstract: Embodiments of the present application are directed to a method and apparatus for data transmission processing. In an embodiment, the method includes: determining a radio link failure (RLF) happens in a small data transmission (SDT) procedure; and performing a procedure in response to the happening of the RLF in an SDT procedure.

Abstract: A connection mechanism includes a first connection unit, a second connection unit, and a separation and locking control structure. The second connection unit is separated from and locked with the first connection unit in an insertion method. The separation and locking control structure includes a first control member and a second control member. The first control member is connected to the first connection unit to drive the first connection unit to move between a first position and a second position. The second control member abuts against the second connection unit when the second connection unit is inserted into the first connection unit. The first control member and the second control member have a first status and a second status.

Abstract: An electronic apparatus includes a first body, a second body, and a flexible screen. The second body is rotatably connected to the first body through a rotation shaft device to cause an opening and closing angle of the first body relative to the second body to be adjustable. The flexible screen is configured to display images. An end of the flexible screen is slidably arranged at the first body along a connection line direction of the first body and the second body. A second end is slidably arranged at the second body along the line connection direction. The first end and the second end are two ends of the flexible screen in the connection line direction. The first end and the second end of the flexible screen synchronously slide along the connection line direction to adjust a size of a part of the flexible screen located at the first body.

Abstract: The present invention relates to novel mesylate salt of N-(5-(4-(4-((dimethylamino)methyl)-3-phenyl-1H-pyrazol-1-yl)pyrimidine-2-ylamino)-4-methoxy-2-morpholinophenyl)acrylamide, a novel crystalline form thereof, and a process for preparing the same. More specifically, the present invention relates to mesylate salt of N-(5-(4-(4-((dimethylamino)methyl)-3-phenyl-1H-pyrazol-1-yl)pyrimidine-2-ylamino)-4-methoxy-2-morpholinophenyl)acrylamide, which is excellent in stability, solubility, and bioavailability when it is administered not only alone but also in combination with other drugs and which has a high purity, a crystalline form thereof, and a process for preparing the same.

Abstract: Methods and apparatuses for handling of small data transmission are disclosed. A method at a user equipment (UE) that is in a non Radio Resource Control (RRC)_CONNECTED state with a network device comprising: determining whether to perform UL carrier selection for non-first SDT data; and transmitting the non-first SDT data to the network device in response to a determining result to perform the UL carrier selection for the non-first SDT data.

Abstract: Provided is an exploration method based on reward decomposition in multi-agent reinforcement learning. The exploration method includes: generating a positive reward estimation model through neural network training based on training data including states of all agents, actions of all the agents, and a global reward true value; generating, for each of the agents, a first individual utility function based on the global reward true value and generating a second individual utility function using the positive reward estimation model; and determining an action of each of the agents using the first individual utility function and the second individual utility function based on the state of each of the agents.

Abstract: A method and an apparatus for inactivity timer handling. The method includes: selecting at least one LCH for transmitting sidelink data to another user equipment; determining whether to start an inactivity timer, which is enabled, for the transmission of the sidelink data based on an inactivity timer configuration of at least one QoS of the at least one LCH contained in the sidelink data; and if it is determined to start the inactivity timer, starting the inactivity timer for the transmission of the sidelink data.

Abstract: Disclosed herein are a multimodal unsupervised meta-learning method and apparatus. The multimodal unsupervised meta-learning method includes training, by a multimodal unsupervised feature representation learning unit, an encoder configured to extract features of individual single-modal signals from a source multimodal dataset, generating, by a multimodal unsupervised task generation unit, a source task based on the features of individual single-modal signals, deriving, by a multimodal unsupervised learning method derivation unit, a learning method from the source task using the encoder, and training, by a target task performance unit, a model based on the learning method and features extracted from a small number of target datasets by the encoder, thus performing the target task.

Abstract: A domain adaptation procedure, such as fine-tuning training, is required to utilize a large-capacity PLM for a specific domain. Attempts in existing research have been made to improve performance of a PLM through domain adaptor technology based on an N-gram in order to reduce errors on the basis of the results of domain text error analysis of the PLM. Proposed is a method of selecting a semantic chunk through a domain semantic chunk graph and PageRank based on the existing domain adaptor research, with an N-gram as the semantic chunk. Proposed is also a method of domain-adapting a large-capacity PLM using semantic chunk dynamic weight masking, which reflects an output value of a PLM rather than simply integrating embedding values of semantic chunks, in a semantic chunk domain adaptor technology.

Abstract: The present invention relates to a multi-modality system for recommending multiple items using an interaction and a method of operating the same. The multi-modality system includes an interaction data preprocessing module that preprocesses an interaction data set and converts the preprocessed interaction data set into interaction training data; an item data preprocessing module that preprocesses item information data and converts the preprocessed item information data into item training data; and a learning module that includes a neural network model that is trained using the interaction training data and the item training data and outputs a result including a set of recommended items using a conversation context with a user as input.

Abstract: The present disclosure provides a blending method of high-quality and dual-purpose flour for bread and noodles, belonging to the technical field of flour processing. The method includes: selecting flour of a high-quality and dual-purpose wheat variety for bread and noodles as a high-quality basic flour for blending; according to a large gradient experimental design, selecting a gradient range ratio with a sedimentation value ?46.0 mL and a dough development time ?9.6 min, followed by subdividing for small gradient experiments; selecting a ratio with flour sedimentation value and dough development time that reach an ideal value to blend a large amount of flour; and making bread and noodles for scoring, followed by determining a blending ratio if a scoring result reaches an ideal value.

Abstract: A concept based few-shot learning method is disclosed. The method includes estimating a task embedding corresponding to a task to be executed from support data that is a small amount of learning data; calculating a slot probability of a concept memory necessary for a task based on the task embedding; extracting features of query data that is test data, and of the support data; comparing local features for the extracted features with slots of a concept memory to extract a concept, and generating synthesis features to have maximum similarity to the extracted features through the slots of the concept memory; and calculating a task execution result from the synthesis feature and the extracted concept by applying the slot probability as a weight.

Abstract: An exploration method used by an exploration apparatus in multi-agent reinforcement learning to collect training samples during the training process is provided. The exploration method includes calculating the influence of a selected action of each agent on the actions of other agents in a current state, calculating a linear sum of the value of a utility function representing the action value of each agent and the influence on the actions of the other agent calculated for the selected action of each agent, and obtaining a sample to be used for training an action policy of each agent by probabilistically selecting the action in which the linear sum is the maximum, and the random action.

Abstract: The present disclosure discloses a mutant of a lycopene epsilon cyclase (Lcye) gene crucial in a wheat carotenoid synthesis pathway and use thereof. The present disclosure provides the following proteins: (1) a protein obtained by substituting serine at position 253 of an Lcye-D1 protein with phenylalanine; (2) a derived protein that is obtained by subjecting the protein in (1) to substitution and/or deletion and/or addition of one or more amino acid residues and has the same ability as the protein in (1); (3) a protein that has a homology of more than 99%, more than 95%, more than 90%, more than 85%, or more than 80% with the amino acid sequence defined in any one of (1) and (2) and has the same function as the amino acid sequence; and (4) a fusion protein obtained by attaching a tag to N-terminus and/or C-terminus of the protein in any one of (1) to (3).

Abstract: Disclosed is a molecular marker polymerization wheat breeding method for Fusarium head blight-resistance. The method uses an intermediate material for Fusarium head blight-resistance as a resistance source, and excellent varieties (strains) in a northern part of Huanghuai wheat production area as agronomic parents, and uses molecular marker-assisted selection and conventional breeding techniques. The molecular markers are a linked marker LJJT-1 of a Fusarium head blight-resistant gene Fhb1 and linked markers LJJ-2 and LJJ-3 of a Fusarium head blight-resistant gene Fhb2, so as to create a semi-winter Fusarium head blight-resistant breeding material with outstanding target traits and excellent comprehensive traits, which lays a material foundation for cultivating Fusarium head blight-resistant wheat varieties suitable for planting in the Huanghuai wheat production area.

Abstract: A method includes: obtaining user equipment distribution information of a beam domain, where there are at least two beam domains, and the beam domain is a vertical area in a physically vertical dimension of a cell coverage area; determining information about a concentrated beam domain based on the user equipment distribution information, where the concentrated beam domain is a beam domain in which a quantity of covered user equipments exceeds a quantity threshold; and compared with information about a historical concentrated beam domain, if the information about the concentrated beam domain satisfies a preset condition, adjusting a broadcast beam domain based on the information about the concentrated beam domain, so that a main lobe direction of the broadcast beam domain is adjusted to a beam domain corresponding to the concentrated beam domain.

Abstract: Provided are a system and method for adaptive masking and non-directional language understanding and generation. The system for adaptive masking and non-directional language understanding and generation according to the present invention includes an encoder unit including an adaptive masking block for performing masking on training data, a language generator for restoring masked words, and an encoder for detecting whether or not the restored sentence construction words are original, and a decoder unit including a generation word position detector for detecting a position of a word to be generated next, a language generator for determining a word suitable for the corresponding position, and a non-directional training data generator for decoder training.

Abstract: Embodiments of the disclosure relate to an input apparatus and a controlling method thereof, more particularly, to an input device for displaying a graphic in a detected color and an input touch form by detecting a color and a touch shape of an input tool for inputting a touch command. An input apparatus according to an embodiment includes a display: a first sensor configured to detect a touch position of a touch command input to the display from an input tool; a second sensor configured to detect a color of the input tool; and a controller configured to control a graphic corresponding to the input touch command to be displayed in the detected color at the detected touch position.

Abstract: Provided are a method and apparatus for online Bayesian few-shot learning. The present invention provides a method and apparatus for online Bayesian few-shot learning in which multi-domain-based online learning and few-shot learning are integrated when domains of tasks having data are sequentially given.

Abstract: A knowledge increasing method includes calculating uncertainty of knowledge obtained from a neural network using an explicit memory, determining the insufficiency of the knowledge on the basis of the calculated uncertainty, obtaining additional data (learning data) for increasing insufficient knowledge, and training the neural network by using the additional data to autonomously increase knowledge.