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Enteral nutrition interruption in critically ill patients: a systematic review and meta-analysis of prevalence, causes, and clinical outcomes
Abstract Introduction: Enteral nutrition interruption (ENI) is common in critically ill patients and may compromise nutritional delivery, but its prevalence, causes, and clinical consequences remain uncertain. This systematic review and meta-analysis synthesized evidence on ENI prevalence, contributing factors, clinical outcomes, and potential interventions. Methods: PubMed, Embase, CINAHL, Web of Science, Cochrane Library, CNKI, and WanFang Data were searched from inception through December 2025.
UAV Target Detection Algorithm Based on Improved YOLOv8
As UAVs are widely used in remote sensing imagery, agricultural rescue, disaster relief, video shooting, disaster surveillance, industrial target detection [1], detection of small targets in UAV capture scenes is gradually becoming a recent popular task. UAVs detect a large percentage of small targets and can provide limited resolution [2].
Correction: A photoexcited halogen-bonded EDA complex of the thiophenolate anion with iodobenzene for C(sp3)-H activation and thiolation
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