Context: A simulated horseback riding (SHR) exercise is effective for improvement of pain and functional disability, but its comparative effectiveness with the other is unknown. Objective: The authors aimed to demonstrate the effect of a SHR exercise in people with chronic low back pain. Design: A randomized controlled trial. Settings: Community and university campus. Participants: A total of 48 participants with chronic low back pain were divided into 2 groups, and SHR exercises (n = 24) or stabilization (STB) exercises (n = 24) were performed. Interventions: The exercises were performed for 30 minutes, 2 days per week for 8 weeks. Main Outcome Measures: Numeric rating scale, functional disabilities (Oswestry disability index and Roland–Morris disability), and fear-avoidance beliefs questionnaire (FABQ) scores were measured at baseline and at 4 weeks, 8 weeks, and 6 months. Results: A 2-way repeated analysis of variance identified that between-group comparisons showed significant differences in the FABQ related to work scale (F = 21.422; P = .01). There were no significant differences in the numeric rating scale (F = 1.696; P = .21), Oswestry disability index (F = 1.848; P = .20), Roland–Morris disability (F = 0.069; P = .80), and FABQ related to physical scale (F = 1.579; P = .24). In within-group comparisons, both groups presented significant differences in numeric rating scale (both SHR and STB after 4 wk), Oswestry disability index (both SHR and STB after 6 mo), and Roland–Morris disability (SHR after 6 mo and STB after 8 wk) compared with baseline values. In FABQ-related physical (SHR after 4 wk) and work scales (SHR after 6 mo), there were only significant differences in the SHR compared with baseline values. Conclusions: SHR exercise for 8 weeks had a greater effect than STB exercise for reducing work-related FABQ. The SHR exercise performed in a seated position could substantially decrease pain-related fear disability in young adults with chronic low back pain.

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Mn dissolution resulting from Mn3+ disproportionation in lithium manganese oxide spinel was significantly depressed by a metal-ion-chelating organogel electrolyte.

We report a simple, low cost, and quite effective method for achieving single-crystal-like CHNHPbI perovskite leading to a significant enhancement in the performance and stability of inverted planar perovskite solar cells (IPSCs). By employing a merged annealing method during the fabrication of an IPSC for preparing the perovskite CHNHPbI film, we remarkably increase the crystallinity of the CHNHPbI film and enhance the device performance and stability. An IPSC with the indium tin oxide/poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate)/CHNHPbI (active layer)/[6,6]-phenyl-C-butyric acid methyl ester/Al structure was fabricated using the merged annealing method and exhibited significantly enhanced performance with a high power conversion efficiency of 18.27% and a fill factor of 81.34%. Moreover, since two separate annealing processes are merged in the proposed annealing method, the fabrication step becomes much simpler and easier, leading to a reduction in fabrication costs.

Purpose: To develop a deep learning model to generate posttreatment optical coherence tomography (OCT) images of neovascular age-related macular degeneration. Methods: Two hundred ninety-eight patients with neovascular age-related macular degeneration were included. The conditional generative adversarial network was trained using 15,183 augmented paired OCT B-scan images obtained from 723 scans of 241 patients at baseline and 1 month after 3 loading doses of an anti–vascular endothelial growth factor treatment. The network was also trained using baseline fluorescein angiography (FA) or indocyanine green angiography (ICGA) images together with baseline OCT images. A test set of 150 images of 50 eyes was used to evaluate its ability to predict the presence of intraretinal fluid, subretinal fluid, PED, and subretinal hyperreflective material. Posttreatment OCT images were compared with images generated from baseline OCT with or without FA and indocyanine green angiography images. Results: The predicted images inferred from baseline OCT images achieved an acceptable accuracy, specificity, and negative predictive value for four lesions (range: 77.0–91.9, 94.1–95.1, and 54.7–96.5%, respectively). The addition of both FA and indocyanine green angiography images improved the accuracy, specificity, and negative predictive value (range: 80.7–96.3, 97.3–99.0, and 59.0–98.3%, respectively). Conclusion: A conditional generative adversarial network is able to generate posttreatment OCT images from baseline OCT, FA, and indocyanine green angiography images.