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Objective To investigate the causes and treatment of delayed corneal epithelial healing after trans-epithelial photorefractive keratectomy (TPRK). Methods A case of a young female with delayed corneal epithelial healing after TPRK for myopia was retrospectively analyzed. Results Delayed corneal healing is a rare complication in the early stage after TPRK. In this case, it caused symptoms such as pain, blurred vision, glare and tearing. Long-term wearing of contact lenses, meibomian gland dysfunction and postoperative use of drugs that inhibited epithelial growth were risk factors for this patient. After comprehensive treatment with bandage soft contact lenses, sodium hyaluronate, deproteinized calf blood extractive, glucocorticoids, ganciclovir ophthalmic gel and corneal epithelial debridement, corneal epithelium healed completely, but haze grade 1 was present in the delayed healing area on 22nd postoperative day. After follow-up treatment, haze disappeared and cornea returned transparent half a year later. Conclusions Patients with risk factors for delayed corneal epithelial healing after TPRK should undergo a comprehensive preoperative examination. Delayed corneal epithelial healing should be treated early and comprehensively, while alerting to haze and herpes simplex virus infection.

PurposeColon cancer (CC) is a serious disease burden. The prognosis of patients with CC is different, so looking for effective biomarkers to predict prognosis is vitally important. Ferroptosis is a promising therapeutic and diagnosis strategy in CC. However, the role of ferroptosis in prognosis of CC has not been studied. The aim of the study is to build a prognosis model related ferroptosis, and provide clues for further therapy of CC.MethodsThe RNA-seq data were from TCGA (training group) and GEO (testing group). The R language and Perl language were used to process and analyze data. LASSO regression analysis was used to build the prognosis model. ssGSEA was used to compare the immune status between two groups. Immunohistochemistry was used to detect expression of AKR1C1 and CARS1 in colon cancer tissues and adjacent tissues.ResultsThe prognosis model consisted of five ferroptosis related genes (AKR1C1, ALOX12, FDFT1, ATP5MC3, and CARS1). The area under curve (AUC) at 1-, 2-, and 3-year were 0.668, 0.678, and 0.686, respectively. The high- and low-risk patients had significant survival probability and could be clearly distinguished by the PCA and t-SNE analysis. The multivariate cox regression analysis also showed the riskscore is an independent prognosis factor. Importantly, we found that the immune status between high- and low-risk patients were different obviously, such as CD8+T cells. And STING, a new promising immune target, was also correlated to our signature genes statistically significantly.ConclusionOur ferroptosis prognosis signature could predict survival of CC patients to a certain degree. And the crosstalk between ferroptosis and immune, especially STING need further studies.

Objective: On 6 March 2018, the Cleveland Cavaliers power forward Kevin Love penned an op-ed for "The Players' Tribune." In big, bold letters, the title, 'Everyone Is Going Through Something' gave way to his proclamation of personal mental health struggles. This study assessed the impact of Love's personal mental health testimony on the audience. Design: Content analysis of Instagram user's responses to Love's 2018 announcement of panic disorder. Setting: Data were collected on 19 June 2018. Comments on Love's post were manually copied into an Excel spreadsheet. Due to Instagram's 'top comments' and 'newest first' algorithms that determine both the visibility and order of user responses, not all comments were accessible for analysis. A total of 1,234 comments served as the sample. Method: Two trained coders analysed the comments for exhibitions of audience involvement with Love, emotional responses and perceptions of social biases surrounding mental illness. Results: Social media users who expressed hope were more likely to share their own mental health experiences. In addition, users who expressed hope were significantly more likely to mention wanting to reduce social bias surrounding discussion of mental health than posts without hope. Conclusion: Building on previous work that determined social media users can respond to a celebrity's physical health testimonial with positive, future-oriented emotions, this study established that the same response can exist when analysing a celebrity's mental health testimonial.

This paper investigates inverse source problems for the Helmholtz and Navier equations in multi-layered media, considering both two and three-dimensional cases respectively. The study reveals a consistent increase in stability for each scenario, characterized by two main terms: a Hölder-type term associated with data discrepancy, and a logarithmic-type term that diminishes as more frequencies are considered. In the two-dimensional case, measurements on interfaces and far-field data are essential. By employing the fundamental solution in free-space as the test function and utilizing the asymptotic behavior of the solution and continuation principle, stability results are obtained. In the three-dimensional case, measurements on interfaces and artificial boundaries are taken, and the stability result can be derived by applying the arguments for inverse source problems in homogeneous media. [ABSTRACT FROM AUTHOR]

Background: Bladder carcinoma (BLCA) is characterized by high morbidity, mortality, and treatment costs. Breast cancer gene 1 (BRCA1), a tumor suppressor gene, inhibits the development of malignant tumors. However, research on the significance of BRCA1 in BLCA is limited. This study aims to explore the importance of BRCA1 in BLCA using bioinformatic methods and immunohistochemistry. Methods: Gene expression, clinical, and survival data were collected from the TCGA databases through the UCSC Xena platform (http://xena.ucsc.edu/). The TPM data from the TCGA and GETEx databases were integrated using the GEPIA database (http://GEPIA.cancer-pku.cn). The study then explored the differential expression, survival prognosis, functional enrichment, and immune cell infiltration analyses of BRCA1 in BLCA. A PPI network of BRCA1 was constructed using the STRING database, and a BRCA1-associated gene-gene interaction network was generated using the GeneMANIA database. Immunohistochemistry (IHC) assays were performed to verify the expression levels of BRCA1 in bladder tumour tissues and adjacent normal tissues. Results: BRCA1 is associated with BLCA. Differential analysis indicated that BRCA1 acts as a risk factor for BLCA but does not show significant expression differences across genders, stages, tumor stages, lymph node stages, or metastasis stages. Additionally, staging was based on the eighth edition of the American Joint Committee on Cancer (AJCC) for BLCA. Co-expression network and Gene Set Enrichment Analysis (GESA) confirmed that BRCA1 is involved in various BLCA pathways. Furthermore, BRCA1 expression was also linked to immune cell infiltration. However, survival prognosis analysis revealed no significant correlation between the prognosis of BLCA and BRCA1. Conclusion: We demonstrated that BRCA1 is a prospective predicted and immunological biomarker in BLCA, offering new avenues for potential therapies. [ABSTRACT FROM AUTHOR]