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Epithelial ovarian cancer (EOC) is an often‐fatal malignancy marked by the development of resistance to platinum‐based chemotherapy. Thus, accurate prediction of platinum drug efficacy is crucial for strategically selecting postoperative interventions to mitigate the risks associated with suboptimal therapeutic outcomes and adverse effects. Tissue‐derived extracellular vesicles (tsEVs), in contrast to their plasma counterparts, have emerged as a powerful tool for examining distinctive attributes of EOC tissues. In this study, 4D data‐independent acquisition (DIA) proteomic sequencing was performed on tsEVs obtained from 58 platinum‐sensitive and 30 platinum‐resistant patients with EOC. The analysis revealed a notable enrichment of differentially expressed proteins that were predominantly associated with immune‐related pathways. Moreover, pivotal immune‐related proteins (IRPs) were identified by LASSO regression. These factors, combined with clinical parameters selected through univariate logistic regression, were used for the construction of a model employing multivariate logistic regression. This model integrated three tsEV IRPs, CCR1, IGHV_35 and CD72, with one clinical parameter, the presence of postoperative residual lesions. Thus, this model could predict the efficacy of initial platinum‐based chemotherapy in patients with EOC post‐surgery, providing prognostic insights even before the initiation of chemotherapy. [ABSTRACT FROM AUTHOR]

Summary: Grain leveling robot is a special equipment to realize grain surface leveling in granary. Whether the target height of grain leveling is clear or not has a great influence on the leveling effect and efficiency of grain surface. In this article, the deficiencies of existing grain leveling robots are summarized, and a method of obtaining target leveling height based on machine vision is proposed. Data were collected by RGB‐D camera, the depth matrix of the whole large granary was obtained by image stitching and edge detection, and then the target height of the grain leveling robot was obtained by the element method. It solves the problem of controlling the falling height of the robot by human subjective feeling, improves the efficiency and precision of the robot, optimizes the effect of the robot, and helps to realize the intelligent work of the robot. [ABSTRACT FROM AUTHOR]

Objective: The aim was to assess the expression levels of SLC7A11 and GPX4 in relation to platinum resistance and prognosis in patients with epithelial ovarian cancer (EOC). Design: A retrospective cohort study. Setting: Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China. Population or Sample: We included 192 eligible patients from hospital between January 2002 and December 2018. Methods: We retrospectively analysed the medical records of patients with EOC. Surgical specimens of EOC were stained for SLC7A11 and GPX4. Survival analysis was performed using the Kaplan–Meier and Cox regression methods. Main Outcome Measures: Clinical end points include platinum‐free interval (PFI), progression‐free survival (PFS) and overall survival (OS). Results: Patients with high co‐expression levels of SLC7A11 and GPX4 had a 60‐fold higher risk of platinum resistance compared with those with low co‐expression (risk ratio, 60.46; 95% confidence interval [CI] 22.76–160.58; p < 0.001). Moreover, high co‐expression level of SLC7A11 and GPX4 was an independent prognostic factor for poor OS (p < 0.001, hazard ratio [HR] 4.44, 95% CI, 2.77–7.14) and poor PFS (p < 0.001, HR = 5.73, 95% CI, 3.86–8.73). For in vitro experiments, SLC7A11 and GPX4 expression were both upregulated in platinum‐resistant cells compared with their parental ovarian cancer cells, and siRNA‐induced SLC7A11 and GPX4 inhibition decreased platinum resistance. Conclusions: High expression levels of SLC7A11 and GPX4 are associated with platinum resistance in EOC patients. High co‐expression of SLC7A11 and GPX4 may be a significant independent prognostic factor and a potential therapeutic target for platinum resistance in EOC patients. [ABSTRACT FROM AUTHOR]

An introduction is presented in which editor discusses various articles within the issue on topics including essence of computational sociology; limitations in traditional models and present their way for computational cultural cartography and big data analytics.

Methodological advances in demographic research, especially age‐period‐cohort (APC) analysis, primarily focus on developing new models yet often fail to consider practical concerns in empirical analysis. We propose a mixed approach that integrates multiple data imputation and structural change analysis in time series so that scholars can (i) construct pseudo age groups based on more coarsely grouped age data and (ii) identify temporal anomalies. This approach is illustrated using multiple waves of Canadian Population Census data (1981–2016). We construct pseudo age groups based on more coarse age information available in the Census data and identify a local anomaly in the temporal trajectory of homeownership in Canada's less populous provinces and territories. These findings are assessed and validated in comparison with results from more populous Canadian provinces. This research broadens the methodological repertoire for demographers, geographers, and social scientists in general and extends the literature on homeownership in an understudied area. [ABSTRACT FROM AUTHOR]

Aim: Anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis is one of the autoimmune encephalitis, which often occurs in children and young adults, especially in young women. In addition to viral infection, teratoma is an important causative factor. Anti‐NMDAR encephalitis is well known to neurologist. However, this is less well known to gynecologists, who may have a decisive role in etiological management. Therefore, from the perspective of gynecologists, we provide an overview of the relationship between the encephalitis and ovarian teratoma, the clinical features and treatment of this disease, and prognosis of pregnant women with this encephalitis. Methods: We searched the PubMed database using the search terms in various combinations "teratoma," "dermoid cyst," "ovary," "ovarian," "anti‐NMDAR encephalitis," and "N‐methyl‐D‐aspartate receptor." Results: According to the current literature, the mechanism of anti‐NMDAR encephalitis is probably due to the ectopic expression of the NMDAR in the teratomas tissue. The disease has a high mortality rate if not treated promptly and effectively. An important way to improve patients' outcome is to remove the ovarian tumor in time. Pregnant women are also at risk of developing anti‐NMDAR encephalitis during pregnancy. The fetal outcome is usually better in patients with mid‐ to late‐pregnancy onset than in early pregnancy, and patients are often able to maintain their pregnancies into late pregnancy. Conclusion: Young women with sudden onset of abnormal psychiatric behavior should be actively screened for ovarian tumors and, if confirmed to be teratoma‐associated anti‐NMDAR encephalitis, should undergo gynecologic surgery as early as possible, which can help improve their prognosis. [ABSTRACT FROM AUTHOR]

Objective: The aim was to assess the expression levels of SLC7A11 and GPX4 in relation to platinum resistance and prognosis in patients with epithelial ovarian cancer (EOC)., Design: A retrospective cohort study., Setting: Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China., Population or Sample: We included 192 eligible patients from hospital between January 2002 and December 2018., Methods: We retrospectively analysed the medical records of patients with EOC. Surgical specimens of EOC were stained for SLC7A11 and GPX4. Survival analysis was performed using the Kaplan-Meier and Cox regression methods., Main Outcome Measures: Clinical end points include platinum-free interval (PFI), progression-free survival (PFS) and overall survival (OS)., Results: Patients with high co-expression levels of SLC7A11 and GPX4 had a 60-fold higher risk of platinum resistance compared with those with low co-expression (risk ratio, 60.46; 95% confidence interval [CI] 22.76-160.58; p < 0.001). Moreover, high co-expression level of SLC7A11 and GPX4 was an independent prognostic factor for poor OS (p < 0.001, hazard ratio [HR] 4.44, 95% CI, 2.77-7.14) and poor PFS (p < 0.001, HR = 5.73, 95% CI, 3.86-8.73). For in vitro experiments, SLC7A11 and GPX4 expression were both upregulated in platinum-resistant cells compared with their parental ovarian cancer cells, and siRNA-induced SLC7A11 and GPX4 inhibition decreased platinum resistance., Conclusions: High expression levels of SLC7A11 and GPX4 are associated with platinum resistance in EOC patients. High co-expression of SLC7A11 and GPX4 may be a significant independent prognostic factor and a potential therapeutic target for platinum resistance in EOC patients., (© 2022 The Authors. BJOG: An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd.)