All-polarization-maintaining Ho-doped fiber oscillator mode-locked with nonlinear polarization evolution.

We report a self-starting mode-locked all-polarization-maintaining (PM) holmium (Ho)-doped fiber oscillator operating at ∼2.08 µm based on nonlinear polarization evolution (NPE). The oscillator is configured as a linear cavity structure with two output ports exhibiting completely different pulse characteristics. One output port of the oscillator can deliver a stable, clean soliton-like pulse with a pulse duration of 439 fs and an average power of 7.5 mW at a fundamental repetition rate of 61.67 MHz. In contrast, the other port delivers a low-quality pulse with a complex structure. Numerical simulations reveal that the pulse difference between the two ports is mainly caused by the nonlinear optical interactions between the slow-axis and fast-axis modes in the PM fibers. Furthermore, the obtained clean pulses show significant improvements in relative intensity noise and power stability compared to complex pulses. Our study can help researchers obtain high-quality, stable pulses from PM-NPE mode-locked fiber oscillators.

Age affects the association between socioeconomic status and infertility: a cross-sectional study.

BACKGROUND: Previous studies have shown the interaction between age and socioeconomic status (SES) on the risk of infertility in the UK, but the association is still unclear in the United States. Therefore, the present study investigated the effect of age on the relationship between SES and the risk of infertility in American women. METHODS: The study included adults who participated in the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2018. The poverty income ratio (PIR) was used to represent the SES of the population. With participants stratified according to age category (< 35 years; ≥ 35 years), we further assessed differences in the relationship between PIR and infertility risk among participants of different age groups using multivariate logistic regression and interaction tests. RESULTS: Approximately 3,273 participants were enrolled in the study. There were 399 cases of infertility and 2,874 cases without infertility. In women ≥ 35 years of age, PIR levels were significantly higher in infertile participants than in non-infertile participants, but no such difference was found in those < 35 years of age. The association of PIR with the risk of infertility appeared to differ between age < 35 years and age ≥ 35 years (OR: 0.99, 95%Cl: 0.86-1.13 vs. OR: 1.24, 95%Cl: 1.12-1.39) in a fully adjusted model. Furthermore, an interaction between age and PIR increased the risk of infertility (p-value for interaction < 0.001). CONCLUSION: Our study found that age may influence the association between PIR and infertility. It is imperative to perform further studies to provide more evidence.

Implications of serum uric acid for female infertility: results from the national health and nutrition examination survey, 2013-2020.

BACKGROUND: There is limited concrete evidence connecting serum uric acid levels to female infertility. Therefore, this study aimed to find out if serum uric acid levels are independently related to female infertility. METHODS: From the National Health and Nutrition Examination Survey (NHANES) 2013-2020, a total sample of 5872 chosen female participants between the ages of 18 and 49 were identified for this cross-sectional study. The serum uric acid levels (mg/dL) of each participant were tested, and the reproductive health questionnaire was used to evaluate each subject's reproductive status. Both in the analyses of the full sample and each subgroup, logistic regression models were used to evaluate the relationship between the two variables. A stratified multivariate logistic regression model was used to perform the subgroup analysis based on serum uric acid levels. RESULTS: Infertility was found in 649 (11.1%) of the 5,872 female adults in this study, with greater mean serum uric acid levels (4.7 mg/dL vs. 4.5 mg/dL). Serum uric acid levels were associated with infertility in both the initial and adjusted models. According to multivariate logistic regression, the odds of female infertility were found to be significantly higher with rising serum uric acid levels (Q4 [≥ 5.2 mg/dL] vs. Q1 [≤ 3.6 mg/dL]), adjusted odds ratio [aOR] = 1.59, p = 0.002]. The data suggests that there is a dose-response relationship between the two. CONCLUSIONS: The results from this nationally representative sample from the United States confirmed the idea that there is a link between increased serum uric acid levels and female infertility. Future research is necessary to evaluate the relationship between serum uric acid levels and female infertility and explicate the underlying mechanisms of this relationship.

Artificial intelligence-aided method to detect uterine fibroids in ultrasound images: a retrospective study.

We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroids and further compared it with senior ultrasonographers to confirm the effectiveness and feasibility of the artificial intelligence method. In this retrospective study, we collected a total of 3870 ultrasound images from 667 patients with a mean age of 42.45 years ± 6.23 [SD] for those who received a pathologically confirmed diagnosis of uterine fibroids and 570 women with a mean age of 39.24 years ± 5.32 [SD] without uterine lesions from Shunde Hospital of Southern Medical University between 2015 and 2020. The DCNN model was trained and developed on the training dataset (2706 images) and internal validation dataset (676 images). To evaluate the performance of the model on the external validation dataset (488 images), we assessed the diagnostic performance of the DCNN with ultrasonographers possessing different levels of seniority. The DCNN model aided the junior ultrasonographers (Averaged) in diagnosing uterine fibroids with higher accuracy (94.72% vs. 86.63%, P < 0.001), sensitivity (92.82% vs. 83.21%, P = 0.001), specificity (97.05% vs. 90.80%, P = 0.009), positive predictive value (97.45% vs. 91.68%, P = 0.007), and negative predictive value (91.73% vs. 81.61%, P = 0.001) than they achieved alone. Their ability was comparable to that of senior ultrasonographers (Averaged) in terms of accuracy (94.72% vs. 95.24%, P = 0.66), sensitivity (92.82% vs. 93.66%, P = 0.73), specificity (97.05% vs. 97.16%, P = 0.79), positive predictive value (97.45% vs. 97.57%, P = 0.77), and negative predictive value (91.73% vs. 92.63%, P = 0.75). The DCNN-assisted strategy can considerably improve the uterine fibroid diagnosis performance of junior ultrasonographers to make them more comparable to senior ultrasonographers.

Association of Serum Triglyceride and Stress Urinary Incontinence in Women From the National Health and Nutrition Examination Survey: A Cross-Sectional Study.

OBJECTIVE: To investigate the relationship between serum triglyceride levels and stress urinary incontinence (SUI) in women from the National Health and Nutrition Examination Survey. METHODS: Adults who participated in the National Health and Nutrition Examination Survey from 2005 to 2018 were included in the study. Univariate and multivariate logistic regressions were used to assess the relationship between serum triglyceride levels and the incidence and severity of SUI. RESULTS: Approximately 7973 participants (mean, 49.9 years of age) were enrolled in the study. Of those, 3367 had SUI, and 4606 did not have SUI. An adjusted multivariate logistic regression analysis demonstrated a positive correlation between serum triglyceride levels and the incidence of SUI (ORs, 1.05; 95% CI, 1-1.11, P = .045). Besides, subgroup analyses indicated that the results were robust among women with different characteristics. Additionally, serum triglyceride levels were positively associated with the severity of SUI. CONCLUSION: Serum triglyceride levels were closely related to the incidence and severity of SUI. Based on our findings, we suggest that serum triglycerides can be included as a risk indicator for screening high-risk groups of SUI.