Publications by authors named "Tu XiaoMei"

Spotted sea bass () is an important marine economic fish in China, ranking third in annual production among marine fish. However, a declined growth rate caused by germplasm degradation has severely increased production costs and reduced economic benefits. There is an urgent need to develop the fast-growing varieties of and elucidate the genetic mechanisms underlying growth traits.

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Article Synopsis
  • A new wildlife target detection algorithm is introduced, based on the improved YOLOX-s network, aimed at enhancing detection accuracy in challenging rainy and nighttime conditions.
  • The algorithm integrates three key components: the MobileViT-Pooling module for efficient feature extraction, the Dynamic Head module for improved task-specific detection, and the Focal-IoU module for better loss function handling.
  • Experimental results show significant improvements in detection performance, with mAP scores increasing by 7.9% and 5.3%, demonstrating enhanced accuracy and reduced false detections for wildlife.
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Interleukin-6 (IL-6) detection and monitoring are of great significance for evaluating the progression of many diseases and their therapeutic efficacy. Lateral flow immunoassay (LFIA) is one of the most promising point-of-care testing (POCT) methods, yet suffers from low sensitivity and poor quantitative ability, which greatly limits its application in IL-6 detection. Hence, in this work, we integrated Au nanoparticles (NPs) as new LFIA reporters and achieved the colorimetric and photothermal dual-mode detection of IL-6.

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Object detector based on fully convolutional network achieves excellent performance. However, existing detection algorithms still face challenges such as low detection accuracy in dense scenes and issues with occlusion of dense targets. To address these two challenges, we propose an Global Remote Feature Modulation End-to-End (GRFME2E) detection algorithm.

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Osteoblasts are a prerequisite for osteogenesis and bone formation, and play a key role in metabolic balance, growth, development and wound repair. G protein-coupled receptor kinase interacting protein 1 (GIT1) and a series of miRNAs are known to have important effects in the growth and migration of osteoblasts, but little is known about micro RNAs (miRNAs) targeting GIT1. The present study found that miR-125a-3p has matching sites on GIT1.

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