Zhiyong Huang

Anterior segment optical coherence tomography (AS-OCT) is essential for structural assessment of the anterior eye, yet automated landmark localization remains challenged by pervasive speckle noise, indistinct tissue interfaces, and labor-intensive manual annotation with notable inter-observer variability. This study presents NSE YOLO, an enhanced YOLOv11 framework for high-precision landmark localization in AS-OCT images after implantable collamer lens (ICL) implantation. It integrates a dual-branch NewConv module for multi-scale feature extraction, a dual-additive residual self-attention block (SABlock) to suppress background interference, and a Mamba-based EfficientViMBlock embedded in the C3k2 module to balance global contextual modeling and computational efficiency. Validated on 672 expert-annotated postoperative ICL images from 60 patients, NSE YOLO achieved an mAP@0.5 of 90.7% and mAP@0.5:0.95 of 85.1%, outperforming the YOLOv11 baseline by 5.2% and 6.6% with only 2.86 million parameters. Bland–Altman analysis showed negligible systematic bias and narrow limits of agreement for anterior chamber depth. For iridocorneal angle measurements, directional deviations and wider limits of agreement were observed, with performance approaching the level of inter-observer variability among human annotators. NSE YOLO enables automated quantification of anterior chamber depth and bilateral iridocorneal angles for post-ICL follow-up assessment, providing preliminary technical validation supporting further external and device-level evaluation.

Given the complexity of whole-life monitoring data processing for wind turbine gearboxes, this paper proposes a degradation analysis and prediction method oriented to the whole-life-cycle signal. First, based on historical measurement data and combined with fault category and condition assessments, the whole-life-cycle measurement signal of wind turbine gearboxes (WL-WTG) were compiled, thereby providing support for subsequent degradation analysis and prediction. Second, the Mean-Gray Relation Index (MGR) degradation analysis method was used to optimize the amount of complex data and visualize the process of degradation. Then, the segmented superposition training mechanism (ST) was designed, and P_l and P_i training methods were introduced to construct the Long short-term memory-Segmented superposition training mechanism (LSTM-ST) prediction model, and degradation prediction was performed via repeated cyclic testing. Finally, the feasibility analysis of deterioration and prediction of IMS 2-1 signal from the Intelligent Maintenance System Center (IMS) is extended to validate the effectiveness of WL-WTG signal. Tests show that the method enables deterioration analysis and prediction, and provides a reference for the study of whole life cycle signals in the field of wind power engineering.

The significance and contributions of corneal biomechanics in the study of chronic elevated intraocular pressure are multifaceted. Not only does it enhance our understanding of how chronic elevated intraocular pressure affects corneal structure and function, but it also offers new perspectives for the early diagnosis of glaucoma. Analysis of the cornea’s biomechanical properties enables earlier identification of high‐risk glaucoma patients and potential development of personalized treatment plans, thereby improving treatment outcomes. Moreover, changes in corneal biomechanics can serve as a new metric for assessing glaucoma treatment effectiveness, providing precise clinical feedback. Continued research on the role of corneal biomechanics in chronic elevated intraocular pressure and glaucoma is crucial for improving the diagnosis, treatment, and prognosis. Understanding associations between these biomechanical changes and glaucoma development can elucidate disease mechanisms, enabling more effective treatment strategies and preventive measures. This review explores the latest research developments on corneal biomechanical changes associated with chronic elevated intraocular pressure and their impact on glaucoma management, highlighting the importance of these changes in clinical practice.