Korea Institute of Science and Technology

According to an embodiment, a system for supporting decision-making in an environment where multiple users collaborate to manage cultivation is provided. The system comprises a data collection and management module configured to collect and store, in real time, comment and voting data generated by users; a multi-domain analysis and interaction modeling module configured to analyze the correlated data, derive pattern data from similar situations, and statistically analyze correlations among situations, impacts, and responses; and a user collaboration interface module supporting real-time communication and sharing of analysis results and recommendations. The system further comprises a comment processing and learning module configured to structure comments using natural language processing, a decision support and recommendation generation module configured to produce recommendation data, and a learning and feedback management module configured to generate feedback loop data based on artificial intelligence learning. The system enables improved decision-making quality and operational efficiency in smart farm (greenhouse) management.

Provided is a variable stiffness joint structure including a central module, a pressing module that surrounds the central module, and has a grip position in which the central module is radially pressed to block rotation of the central module, and a rotation position in which the central module is released to allow rotation of the central module, and a driving module configured to provide a driving force to move the pressing module from the rotation position to the grip position, wherein the pressing module includes at least one pressing member arranged in a circumferential direction to surround an outer circumferential surface of the central module.

The present invention relates to a method for simultaneous analysis of food-borne doping substances using liquid chromatography-mass spectrometry, and more specifically, to a method for rapidly and accurately simultaneously detecting 331 doping substances using Quechers (Quick, Easy, Cheap, Effective, Rugged, and Safe) sample pretreatment method and liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS).The analyzing method of the present invention can be applied to a wide range of food matrices including meat, dairy products, grains and fruits, ensuring a comprehensive application range for doping control, and can rapidly and accurately detect 331 kinds of doping substances in food matrices simultaneously, which can greatly improve food safety and the efficiency of doping tests. In addition, since the process can be simplified to minimize the need for multiple testing protocols and reduce labor and operating costs, making it economically feasible, the present invention can provide solutions for various industries (food manufacturers, sports organizations, national institutions, research institutes, and universities) from agriculture to food safety and sports to quickly and accurately verify whether doping substances are present in various food matrices.

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Provided is a noble metal member capable of expressing vivid colors. The noble metal member includes a noble metal substrate, a dielectric layer provided on the noble metal substrate, and a compound layer containing aluminum (Al) and provided on at least one surface of the dielectric layer.

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