Abstract: The present invention relates to an auxiliary precursor, a thin film precursor composition, a method of forming a thin film using the thin film precursor composition, and a semiconductor substrate fabricated using the method. The present invention provides the thin film precursor composition including a thin film precursor compound and a compound having a predetermined structure that exhibits reaction stability as the auxiliary precursor. By using the thin film precursor composition in a thin film deposition process, side reactions may be suppressed, and thin film growth rate may be appropriately controlled. In addition, since process by-products are removed from a thin film, even when a thin film is formed on a substrate having a complicated structure, step coverage and the thickness uniformity and resistivity characteristics of the thin film may be greatly improved.

Abstract: Disclosed herein are a neural network model deployment method and apparatus for providing a deep learning service. The neural network model deployment method may include providing a specification wizard to a user, searching for and training a neural network based on a user requirement specification that is input through the specification wizard, generating a neural network template code based on the user requirement specification and the trained neural network, converting the trained neural network into a deployment neural network that is usable in a target device based on the user requirement specification, and deploying the deployment neural network to the target device.

Abstract: Disclosed are a method for DNA extraction in a sample for next generation sequencing (NGS) and a method of constructing a NGS library using the extracted DNA. The method for DNA extraction includes: preparing a mixture by mixing a biological sample with a buffer; applying microwaves to the mixture; and recovering DNA. The method of constructing a NGS library includes: extracting DNA according to the method for DNA extraction; amplifying a target DNA using primers; and purifying the amplified product and subjecting the purified product to library pooling.

Abstract: Disclosed is a method of providing biological data. The method includes the following steps performed by a data processing device: selecting a biological data set from a biological data pool; encrypting biological data included in the biological data set to produce encrypted biological data; transferring the encrypted biological data to a user; receiving a result of analysis on the encrypted biological data from the user; and transferring information on the encrypted biological data included in the result of the analysis to the user. The data processing device encrypts the biological data with a key determined according to a combination of biological data constituting the biological data set.

Abstract: Disclosed is a mobile charging service provision method in which a system and apparatus providing the mobile charging service are operated by executing artificial intelligence (AI) algorithms and/or machine learning algorithms in a 5G environment connected for Internet-of-Things. The mobile charging service provision method according to one embodiment of the present disclosure includes transmitting driving information for platooning to a charge request vehicle, establishing, based on a selected charging mode, a connection with the charge request vehicle for wireless power supply or wired power supply, and based on the connection, performing charging of the charge request vehicle.

Abstract: Disclosed are a method for DNA extraction in a sample for next generation sequencing (NGS) and a method of constructing a NGS library using the extracted DNA. The method for DNA extraction includes: preparing a mixture by mixing a biological sample with a buffer; applying microwaves to the mixture; and recovering DNA. The method of constructing a NGS library includes: extracting DNA according to the method for DNA extraction; amplifying a target DNA using primers; and purifying the amplified product and subjecting the purified product to library pooling.

Abstract: Disclosed are a self-driving multifunction copier capable of performing artificial intelligence learning through machine learning, a server controlling the self-driving multifunction copier, and a method for operating the server. A method for operating a server controlling a self-driving multifunction copier in an Internet of things (IoT) environment constructed through a 5G communication network, which is a method for operating a server controlling a self-driving multifunction copier, includes: in response to receiving an execution request for a job from a user terminal in a building, calculating a processing time of the job; selecting one self-driving multifunction copier among a plurality of self-driving multifunction copiers in the building based on the processing time of the job; and assigning the job to the selected self-driving multifunction copier to allow the selected self-driving multifunction copier to perform the assigned job.

Abstract: Disclosed is a method of providing biological data. The method includes the following steps performed by a data processing device: selecting a biological data set from a biological data pool; encrypting biological data included in the biological data set to produce encrypted biological data; transferring the encrypted biological data to a user; receiving a result of analysis on the encrypted biological data from the user; and transferring information on the encrypted biological data included in the result of the analysis to the user. The data processing device encrypts the biological data with a key determined according to a combination of biological data constituting the biological data set.

Abstract: Disclosed are a self-driving multifunction copier capable of performing artificial intelligence learning through machine learning, a server controlling the self-driving multifunction copier, and a method for operating the server. A method for operating a server controlling a self-driving multifunction copier in an Internet of things (IoT) environment constructed through a 5G communication network, which is a method for operating a server controlling a self-driving multifunction copier, includes: in response to receiving an execution request for a job from a user terminal in a building, calculating a processing time of the job; selecting one self-driving multifunction copier among a plurality of self-driving multifunction copiers in the building based on the processing time of the job; and assigning the job to the selected self-driving multifunction copier to allow the selected self-driving multifunction copier to perform the assigned job.

Abstract: The present invention relates to the anticancer composition containing an effective amount of herbal extract, and more particularly to the anticancer composition containing an effective amount of extract of Salviae Miltiorrhizae Radix, Chrysanthemum indicum, Acanthopanax senticosus, Cinnamomum cassia Blume, Eucommia ulmoides Oliv., Glycyrrhiza uralensis Fisch, Pueraria thunbergiana Benth, Crataegus pinnatifida Bunge, Cassia tora, Carthamus tinctorius L., Paeonia lactiflora Pall, and Angelica gigas Nakai. The anticancer composition containing an effective amount of herbal extract has advantage of minimal or few side effects and cytotoxicity as compared to many existing anticancer drugs having cytotoxicity and side effects.

Abstract: N-substituted 3,3-dinitroazetidine, represented by the following Chemical Formula I, as an energetic plasticizer, and a method for preparing the same through a coupling reaction in which the energetic material 3, 3-dinitroazetidine or an acid salt thereof serves as a nucleophile for the ?, ?-unsaturated carbonyl compound as a substrate are provided. wherein R1 and R2 are each independently alkyl, substituted alkyl, aryl, substituted aryl, arylalkyl, substituted arylalkyl, heteroaryl, substituted heteroaryl, heteroarylalkyl, substituted heteroarylalkyl, hydroxy, nitro, or a halogen atom, wherein the substituent of the substituted radicals is selected from the group consisting of alkyl, cycloalkyl, aryl, heteroaryl, alkoxy, thioalkyl, amino, nitro, hydroxy, a halogen atom, and a combination thereof.

Abstract: N-substituted 3,3-dinitroazetidine, represented by the following Chemical Formula I, as an energetic plasticizer, and a method for preparing the same through a coupling reaction in which the energetic material 3,3-dinitroazetidine or an acid salt thereof serves as a nucleophile for the ?,?-unsaturated carbonyl compound as a substrate are provided. wherein R1 and R2 are each independently alkyl, substituted alkyl, aryl, substituted aryl, arylalkyl, substituted arylalkyl, heteroaryl, substituted heteroaryl, heteroarylalkyl, substituted heteroarylalkyl, hydroxy, nitro, or a halogen atom, wherein the substituent of the substituted radicals is selected from the group consisting of alkyl, cycloalkyl, aryl, heteroaryl, alkoxy, thioalkyl, amino, nitro, hydroxy, a halogen atom, and a combination thereof.

Abstract: The present invention relates to the anticancer composition containing an effective amount of herbal extract, and more particularly to the anticancer composition containing an effective amount of extract of Salviae Miltiorrhizae Radix, Chrysanthemum indicum, Acanthopanax senticosus, Cinnamomum cassia Blume, Eucommia ulmoides Oliv., Glycyrrhiza uralensis Fisch, Pueraria thunbergiana Benth, Crataegus pinnatifida Bunge, Cassia tora, Carthamus tinctorius L., Paeonia lactiflora Pall, and Angelica gigas Nakai. The anticancer composition containing an effective amount of herbal extract has advantage of minimal or few side effects and cytotoxicity as compared to many existing anticancer drugs having cytotoxicity and side effects.