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Researcher | Loughborough university | Israel
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The Role of COL1A1, COL5A1, ACTN3, MMP3, and GDF5 Gene Variants in Common Sports Injuries:
Systematic Review of ACL Rupture, Achilles Tendinopathy
– Genes, 2026
Research fellow | University Hospital of Larissa | Greece
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Dr. Hui Lyu is an interdisciplinary researcher specializing in complex-valued neural networks, infrared image enhancement, intelligent signal processing, data fusion, and optimization-based machine learning. Her peer-reviewed output includes 4 SCI-indexed journal articles and international conference papers, with publications in IEEE Sensors Journal, IEEE Access, Neural Processing Letters, and Signal, Image and Video Processing. Her research integrates adaptive convolutional filtering, quaternion extreme learning machines, and multisensor fault diagnosis frameworks. She is a contributor to national and municipal funded research on infrared vision systems, sensor testing, and complex neural learning algorithms, and holds 5 granted invention patents in infrared imaging and intelligent detection systems. Her work has received regional scientific achievement recognition.
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Prof. Xuemei Li is a highly cited environmental and fisheries scientist with 1,627 Scopus citations, 78 indexed documents, and an h-index of 22, reflecting sustained international research impact. Her work integrates aquatic ecology, fisheries resource assessment, microbial and phytoplankton community assembly, hydroacoustic monitoring, reservoir and lake ecosystem modeling, thermal stress biology, and conservation-driven management strategies. She has led and contributed to multidisciplinary research on fishing bans, eutrophication control, biodiversity recovery, and climate-linked ecosystem responses, with findings informing sustainable aquaculture and freshwater resource policy. Her publications appear in high-impact journals such as Scientific Data, Environmental Science and Pollution Research, Frontiers in Microbiology, Marine Pollution Bulletin, PeerJ, Animals, and Fishes. Her research portfolio includes genome-scale data generation, ecosystem modeling, and long-term ecological monitoring, alongside competitive research projects, peer-reviewed conference contributions, editorial and reviewer service, and collaborative innovation initiatives that advance evidence-based fisheries and aquatic ecosystem management.
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