EF yolov8s: A Human–Computer Collaborative Sugarcane Disease Detection Model in Complex Environment by Jihong Sun, Zhaowen Li, Fusheng Li, Yingming Shen, Ye Qian, Tong Li

“…Subsequently, five basic instance segmentation models of YOLOv8 were used for comparative analysis, validated using nutrient deficiency condition videos, and a human–machine integrated detection model for nutrient deficiency symptoms at the top of sugarcane was constructed. …”
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You are driving me up the wall! A corpus-based study of a special class of resultative constructions by Gloria Corpas Pastor

“…We claim that the array of expressions (traditionally classed as idioms, collocations, free word combinations, etc.) that are used to convey a person’s change of mental state (typically negative) are basically instances of the same resultative construction. …”
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