A PROPOSED MODEL FOR CARD FRAUD DETECTION BASED ON CATBOOST AND DEEP NEURAL NETWORK


Determining Dominant Factors of Vegetation Change with Machine Learning and Multisource Data in the Ganjiang River Basin, China

Vegetation is a fundamental component of terrestrial ecosystems, and accurately assessing the effects of seasonal climate variations, extreme weather events, and land use changes on vegetation dynamics is crucial.The Ganjiang River Basin (GRB), a key region for water conservation and recharge in southeastern China, has experienced significant land

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Skin penetration of active folate salts and their effects on wound healing _in vitro_: new approaches for dermal folate application

# Objectives The skin has a high demand for folates because of its constant HOT CHOC MILK CHOC renewal and growth.Folates play an important role in the metabolism of healthy skin and in the regeneration of irritated or injured skin.The high proliferation rate supports wound healing in chronic and degenerative skin diseases.In contrast to systemic f

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Experimental Approach to Flint Shaft Mining: Understanding the Extraction Process and the Technical Gesture at Casa Montero (Madrid, Spain)

Since prehistory, human populations have developed specific knowledge related to the excavating and exploitation of underground resources.These abilities are reflected in the tools used to extract and process raw materials and the use of specific architectural expressions such as rock-cut tombs.As part of these practices, Neolithic human groups use

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