Introduction Little has been known about the intrableb structures associated with bleb function after trabeculectomy with amniotic membrane transplantation (AMT). The aim of this study is to analyze the characteristics of intrableb structures using anterior segment optical coherence tomography (AS-OCT) after trabeculectomy with AMT. Methods A total of 68 eyes of 68 patients with primary open-angle glaucoma who underwent trabeculectomy with AMT were included. Surgical success was defined as intraocular pressure (IOP) ≤ 18 mmHg and IOP reduction of ≥ 20% without medication on AS-OCT examination. Intrableb parameters, including bleb height, bleb wall thickness, striping layer thickness, bleb wall reflectivity, fluid-filled space score, fluid-filled space height, and microcyst formation were evaluated using AS-OCT. Logistic regression analysis was performed to determine factors associated with IOP control. Results Of the 68 eyes, 56 eyes were assigned to the success group and 12 eyes to the failure group. In the success group, bleb height (P = 0.009), bleb wall thickness (P = 0.001), striping layer thickness (P = 0.001), fluid-filled space score (P = 0.001), and frequency of microcyst formation (P = 0.001) were greater than those in the failure group. Bleb wall reflectivity was higher in the failure group than in the success group (P < 0.001). In the univariate logistic regression analysis, previous cataract surgery was significantly associated with surgical failure (odds ratio = 5.769, P = 0.032). Conclusion A posteriorly extending fluid-filled space, tall bleb with low reflectivity, and thick striping layer were characteristics of successful filtering blebs after trabeculectomy with AMT.

Although deep learning architecture has been used to process sequential data, only a few studies have explored the usefulness of deep learning algorithms to detect glaucoma progression. Here, we proposed a bidirectional gated recurrent unit (Bi-GRU) algorithm to predict visual field loss. In total, 5413 eyes from 3321 patients were included in the training set, whereas 1272 eyes from 1272 patients were included in the test set. Data from five consecutive visual field examinations were used as input; the sixth visual field examinations were compared with predictions by the Bi-GRU. The performance of Bi-GRU was compared with the performances of conventional linear regression (LR) and long short-term memory (LSTM) algorithms. Overall prediction error was significantly lower for Bi-GRU than for LR and LSTM algorithms. In pointwise prediction, Bi-GRU showed the lowest prediction error among the three models in most test locations. Furthermore, Bi-GRU was the least affected model in terms of worsening reliability indices and glaucoma severity. Accurate prediction of visual field loss using the Bi-GRU algorithm may facilitate decision-making regarding the treatment of patients with glaucoma.

This paper presents a sun-synchronous orbit design which effectuvely includes the requirements derived from spacecraft to ground station contact and spacecraft to target

Korea Aerospace Research Institute (KARI) has been conducting the satellite mission operations for Korea Multi-Purpose Satellite (KOMPSAT) series. Flight dynamics functions of KOMPSAT series operation include comprehensive orbital analysis and mission planning support as well as orbit data distribution for image processing by conducting Operational Orbit Determination (OOD), Orbit Prediction (OP), Orbit Maneuver Planning (OMP), Ground Track Maintenance (GTM) and Precision Orbit Determination (POD). Precise orbit of KOMPSAT series was estimated and released on a daily basis. POD processing of KOMPSAT was using the Global Positioning System (GPS) measurements including pseudo-range and carrier phase measurement data from onboard GPS receivers. In flight dynamics operations, the accuracy of POD was evaluated by the root-mean square error of daily POD ephemeris in comparison with previous POD ephemeris using overlapping method. But, sometimes, POD accuracy does not meet its requirements due to the various erroneous sources, which include data unavailability or defective data in GPS ephemeris and International GNSS Service (IGS) Station information. In this paper, exceptional cases of POD processing are thoroughly analyzed to reduce data latency for robustness of software in terms of satellite operations. For this purpose, flight dynamics team rebuilds the POD processing flow in more efficient way and add an additional correction steps to provide the quality-controlled orbit ephemeris. The high-fidelity proven capabilities for POD processing provided by commercial software such as MicroCosm and in-house algorithms are extensively used for this purpose. Finally, POD data accuracy of KOMPSAT series is improved and data latency is reduced than previous workflow. It could be reference to setup an operational strategy for the POD processing in terms of robust orbit data processing and rapid data provision.

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