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Background Neuroinflammation-induced injury is intimately associated with poor prognosis in patients with cerebral venous sinus thrombosis (CVST). The cyclic GMP-AMP synthase–stimulator of interferon gene (cGAS–STING) axis is a cytoplasmic double-stranded DNA (dsDNA) sensing pathway has recently emerged as a crucial mediator of neuroinflammation in ischemic stroke. However, the role of the cGAS–STING pathway in modulating post-CVST inflammation and the underlying mechanisms involved remain unclear. Methods A CVST model was induced by ferric chloride in male C57BL/6J mice. The selective cGAS inhibitor RU.521, STING agonist 2′3′-cGAMP, and STING siRNA were delivered by intranasal administration or intraventricular injection. Post-CVST assessments included rotarod test, TUNEL staining, Fluoro-Jade C staining, dihydroethidium staining, western blotting, qPCR, immunofluorescence, immunohistochemistry, ELISA and flow cytometry. Results cGAS, STING, NLRP3 and GSDMD were significantly upregulated after CVST and mostly in the microglia of the mouse brain. CVST triggered the release of dsDNA into the cytoplasm and elicited an inflammatory response via activating the cGAS–STING axis. RU.521 decreased the levels of 2′3′-cGAMP, STING and downstream inflammatory cytokines, and suppressed the expressions of NLRP3 inflammasome and pyroptosis-pertinent components containing cleaved caspase-1, GSDMD, GSDMD-C, pro- and cleaved IL-1β, and cleaved IL-1β/pro-IL-1β. Besides, RU.521 treatment also reduced oxidative stress, lessened the numbers of microglia and neutrophils, and ameliorated neuronal apoptosis, degeneration along with neurological deficits post-CVST. 2′3'-cGAMP delivery enhanced the expressions of STING and related inflammatory mediators, NLRP3 inflammasome and pyroptosis-relevant proteins, whereas these alterations were significantly abrogated by the silencing of STING by siRNA. Conclusions Our data demonstrate that repression of the cGAS–STING pathway diminishes the neuroinflammatory burden of CVST and highlight this approach as a potential therapeutic tactic in CVST-mediated pathologies.

Introduction: The aim of the study was to present a case of two macular holes (MHs) with myopic choroidal neovascularization (CNV) lesion. Case Presentation: A single case was evaluated. A 72-year-old woman presented with two small MHs in her left eye. One year ago, she had undergone vitrectomy for myopic foveal schisis, and a significant reduction of the schisis and a CNV lesion was observed after surgery. On examination, optical coherence tomography (OCT) showed the atrophic CNV and two MHs were located upper and lower close to the edge of the CNV. A pars plana vitrectomy (PPV) with two free ILM (internal limiting membrane) flaps implant was performed in her left eye. At 3 months after surgery, the two MHs were both closed and the best-corrected visual acuity was improved. Conclusions: Two MHs secondary to the regression of CNV after primary PPV combined with complete ILM peeling in eyes with macular schisis.

This study aims to develop an efficient and accurate method for identifying joint parameters in assembled structures. A novel neural network-based joint identification framework is proposed. Frequency response function (FRF) datasets are generated by combining finite element simulation with frequency-domain substructure synthesis. The Uniform Manifold Approximation and Projection (UMAP) algorithm is employed for nonlinear dimensionality reduction in FRF sequences, preserving critical characteristics. A multilayer perceptron (MLP) network is then trained to regress joint parameters from the reduced-dimension FRF data. The necessity of the nonlinear dimensionality reduction within this joint identification framework is verified through comparison with the linear dimensionality reduction technique of principal component analysis (PCA). This methodology is implemented and validated using a tool–collet–holder system. Comparative studies with the global optimization method reveal that the proposed approach maintains superior identification accuracy while achieving significant improvements in computational efficiency across varying preload conditions. Furthermore, the identified joint parameters exhibit strong predictive capability when tested under tool/holder component changes, preload variations, and when coupled with a spindle, proving robustness under complex operational scenarios. This study provides a new technical pathway for the joint identification of assembly structure.

: We aimed to descriptively evaluate the feasibility and clinical utility of TowardPi BO (4K ultra-HD microscope integrated with a 400 kHz swept-source intraoperative optical coherence tomography (SS-iOCT) system) in managing various ophthalmic surgical conditions in a real-world setting. : We analyzed surgical videos and data from 123 consecutive cases that underwent elective surgery with the assistance of this SS-iOCT system at Beijing Tongren Hospital between 2 September 2025 and 10 February 2026. Cases were included when the iOCT provided critical, real-time information that directly influenced surgical decision-making or technique modification. Cases were excluded if iOCT served only routine confirmatory or educational purposes without altering the surgical plan. : A total of 72 surgical cases were included, comprising 7 intraocular lens implantations with ciliary sulcus fixation, 19 macular holes, 3 cases of macular hole retinal detachment (MHRD), 4 cases of macular schisis with or without foveal detachment (MSRD), 12 cases of submacular hemorrhage, 20 cases of rhegmatogenous retinal detachment (RRD), and 7 intraocular mass lesions. The 400 kHz SS-iOCT significantly aided in surgical visualization, guided real-time decision-making, and prompted modifications in surgical techniques. : To our knowledge, this is the first real-world study to evaluate the application of a 400 kHz SS-iOCT system across a wide spectrum of ophthalmic conditions, including its novel use in intraocular tumors. From routine to complex surgical cases, SS-iOCT enhances surgical precision and facilitates real-time decision-making, ultimately contributing to improved surgical outcomes.

Polydimethylsiloxane (PDMS) is hailed as one of the foundational materials that have been applied to different products in various fields because of its chemical resistance, low cost, excellent flexibility, and high molding capability. With the aim to achieve surface texture with high efficiency by means of electrochemical micromachining with PDMS mask, a femtosecond laser is utilized to process a precision array of micro-through-holes on PDMS films as the molds. The ablation process of PDMS with a femtosecond laser was investigated via numerical simulation verified with experiments indicating a laser energy density of 4.865 mJ/mm2 as the ablation threshold of PDMS with the melting temperature of 930 K. The spiral scanning path with optimized radial offset was developed to ablate materials from the PDMS film to form the laminated profiles, and a tapered through hole was then formed with multilayer scanning. The profile dimension and accuracy were examined as control targets in terms of laser pulse energy and scanning speed, showing that a 12 μJ femtosecond laser pulse energy and 1000 mm/s scanning speed could bring about a nearly circular laminating profile with expected smaller exit diameter than the entry diameter. All the cross-section diameters of the microcone decreased with the increase of laser scanning speed, while the taper increased gradually and then saturated around a laser scanning speed of 800 mm/s due to the energy absorption resulting in smaller ablation in diameter and depth.

Macular edema (ME) is an ophthalmic disease that poses a serious threat to human vision. Anti-vascular endothelial growth factor (anti-VEGF) therapy has become the first-line treatment for ME due to its safety and high efficacy. However, there are still cases of refractory macular edema and non-responding patients. Therefore, it is crucial to develop automated and efficient methods for predicting therapeutic outcomes. We have developed a predictive model for the surgical efficacy in ME patients based on deep learning and optical coherence tomography (OCT) imaging, aimed at predicting the treatment outcomes at different time points. This model innovatively introduces group convolution and multiple convolutional kernels to handle multidimensional features based on traditional attention mechanisms for visual recognition tasks, while utilizing spatial pyramid pooling (SPP) to combine and extract the most useful features. Additionally, the model uses ResNet50 as a pre-trained model, integrating multiple knowledge through model fusion. Our proposed model demonstrated the best performance across various experiments. In the ablation study, the model achieved an F1 score of 0.9937, an MCC of 0.7653, an AUC of 0.9928, and an ACC of 0.9877 in the test conducted on the first day after surgery. In comparison experiments, the ACC of our model was 0.9930 and 0.9915 in the first and the third months post-surgery, respectively, with AUC values of 0.9998 and 0.9996, significantly outperforming other models. In conclusion, our model consistently exhibited superior performance in predicting outcomes at various time points, validating its excellence in processing OCT images and predicting postoperative efficacy. Through precise prediction of the response to anti-VEGF therapy in ME patients, deep learning technology provides a revolutionary tool for the treatment of ophthalmic diseases, significantly enhancing treatment outcomes and improving patients' quality of life.

Bietti crystalline corneoretinal dystrophy is an inherited retinal disease caused by mutations in CYP4V2 , which results in blindness in the working-age population, and there is currently no available treatment. Here, we report the results of the first-in-human clinical trial (NCT04722107) of gene therapy for Bietti crystalline corneoretinal dystrophy, including 12 participants who were followed up for 180–365 days. This open-label, single-arm exploratory trial aimed to assess the safety and efficacy of a recombinant adeno-associated-virus-serotype-2/8 vector encoding the human CYP4V2 protein (rAAV2/8-h CYP4V2 ). Participants received a single unilateral subretinal injection of 7.5 × 10 10 vector genomes of rAAV2/8-h CYP4V2 . Overall, 73 treatment-emergent adverse events were reported, with the majority (98.6%) being of mild or moderate intensity and considered to be procedure- or corticosteroid-related; no treatment-related serious adverse events or local/systemic immune toxicities were observed. Compared with that measured at baseline, 77.8% of the treated eyes showed improvement in best-corrected visual acuity (BCVA) on day 180, with a mean ± standard deviation increase of 9.0 ± 10.8 letters in the 9 eyes analyzed ( p  = 0.021). By day 365, 80% of the treated eyes showed an increase in BCVA, with a mean increase of 11.0 ± 10.6 letters in the 5 eyes assessed ( p  = 0.125). Importantly, the patients’ improvement observed using multifocal electroretinogram, microperimetry, and Visual Function Questionnaire-25 further supported the beneficial effects of the treatment. We conclude that the favorable safety profile and visual improvements identified in this trial encourage the continued development of rAAV2/8-h CYP4V2 (named ZVS101e).

A novel method based on multifractal theory was proposed to identify grinding chatter, based on the discovery that the multifractal spectrum width of the vibration signal under stable grinding is obviously larger than that under chatter grinding. The original vibration signal was decomposed into intrinsic mode functions (IMFs) covering different frequency bands with the variational mode decomposition (VMD) method. The multifractal spectrum width of each intrinsic mode function was calculated, revealing that the intrinsic mode function IMF-4 in rail grinding exhibits the most distinguished multifractal spectrum width during chatter from stable grinding, in accordance with the fact that IMF-4 covers the chatter frequency. The multifractal spectrum width of IMF-4 was selected as the indicator of chatter in rail grinding and validated with 40 tests under different grinding conditions, with apparently different thresholds in stable grinding from those in chatter grinding.

Grooved grinding wheels play an important role in reducing grinding thermal damage. Aluminum oxide grinding wheels of approximately 1 mm slot width and 35% groove ratio were successfully fabricated using a novel reciprocating ultrafast laser scanning mode to improve the grinding stability. Grinding experiments with grooved and non-grooved wheels were conducted on 42CrMo. The cutting mechanisms of grooved structures were analyzed with the established cutting kinematics of the abrasives in the groove edges and the grinding force components model. The decreased grinding forces were observed and analyzed with abrasive cutting mechanisms, indicating that grooved structures can increase the undeformed chip thickness of grains at the slot edges and decrease the specific grinding energy by reducing the specific plowing and sliding energy. The grooved grinding wheels exhibited high performance in inhibiting grinding heat and workpiece burns. The burned workpiece ground with non-grooved wheels experienced a phase transformation and had a high tensile residual stress state on the ground surface and subsurface, while compressive residual stresses were detected on the unburned workpiece surface ground with grooved wheels. Grooved grinding wheels can improve the grinding quality of workpieces due to the lower grinding temperature and residual stress.

Different optical coherence tomography （OCT）, both tirne-domain OCT and spectral-domain OCT, has been used to evaluate anterior chamber cells in previous studies. Recently, commercial swept-source OCT was available. The comparison among three kinds of OCTs have not been done before. Here, we compared their feasibility in discerning aqueous cells in vitro. The peripheral blood was diluted to eight different cell concentrations and was packed into plastic-film bag. Each sample was test- ed using different scan modes of three OCTs. It was easy to discern aqueous cells from background noise in both Visante AS-OCT and RTVue XR Avanti OCT, but difficult in Casia SS-1000 OCT. The measured blood cell densities in high-resolution corneal cross-sectional scan of Visante AS-OCT, cornea line scan and 3D cornea scan of RTVue XR Avanti OCT were highly correlated with the actual blood cell concentration （Pearson correlation=0.991, 0.989, and 0.993 respective- ly）. The mean adjusted cell densities of cornea line scan （10.46±2.87 spots mm-2） and 3D cornea scan （11.01±2.47 spots mm-2） of RTVue XR Avanti OCT were significantly larger than that of Visante AS-OCT （1.55±1.75 spots mm-2） （P〈0.01）. Our study demonstrated that RTVue XR Avanti OCT, a spectral-domain OCT, is superior to other two OCTs in evaluating aqueous cells.