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Junying Jiang,1,&ast; Yan Zhuang,2,&ast; Shuting Si,2 Haoyue Cheng,2 Xialidan Alifu,2 Minjia Mo,2 Haibo Zhou,2 Hui Liu,3 Yunxian Yu2 1Department of Women’s Health, Yiwu Maternity and Children Hospital, Yiwu, People’s Republic of China; 2Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou City, People’s Republic of China; 3Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou City, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yunxian Yu, Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China, Email yunxianyu@zju.edu.cnObjective: This study aimed to investigate the association of reproductive hormones with primary dysmenorrhea in Chinese women.Methods: A case–control study was conducted and patients with primary dysmenorrhea and non-dysmenorrhea participants were recruited. Oxytocin, PGF2α, vasopressin, estriol and estradiol were respectively measured in plasma collected three to five days after menstruation. Restricted cubic spline and multiple logistic regression models were adopted to analyze the association between hormones and primary dysmenorrhea.Results: There were 604 participants enrolled in our study including 300 patients with primary dysmenorrhea. After adjustment for the potential confounders, oxytocin levels (Q3: OR (95% CI) = 0.50 (0.27~0.95) (p=0.035); Q4: 0.34 (0.17~0.66) (p=0.001)) and PGF2α levels (Q3: 0.45 (0.24~0.87) (p=0.017); Q4: 0.43 (0.22~0.84) (p=0.013)) were respectively associated with an decreased risk of primary dysmenorrhea, but estradiol (Q2: 2.18 (1.13~4.19) (p=0.020); Q3: 2.17 (1.12~4.19) (p=0.022)) and vasopressin (Q3: 2.88 (1.48~5.63) (p=0.002); Q4: 3.20 (1.65~6.22) (p< 0.001)) with an increased risk of primary dysmenorrhea, respectively. Among patients with primary dysmenorrhea, the higher estriol level was associated with higher frequent dysmenorrhea (Q2: 3.12 (1.32~7.34) (p=0.009); Q3: 4.97 (2.08~11.85) (p< 0.001)) and always dysmenorrhea (Q2: 2.51 (1.03~6.11) (p=0.041); Q3: 3.10 (1.25~7.73) (p=0.015)). Similarly, high estriol levels were associated with the higher degree of pain significantly only when hormone levels were at a high level (Q3: 2.06 (1.03~4.18) (p=0.043)).Conclusion: Higher serum vasopressin and estradiol concentrations as well as lower oxytocin and PGF2α levels were associated with higher risk of primary dysmenorrhea. Estrogen showed a reverse U-shape association on the frequency and degree of pain among patients with primary dysmenorrhea.Keywords: primary dysmenorrhea, reproductive hormone, restricted cubic spline

Abstract The propagation methods of a non-diffractive beam (NDB) for optical sensing in scattering media have been extensively studied. However, those methods can realize the high resolution and long depth of focus in the viewpoint of microscopic imaging. In this study, we focus on macroscopic sensing in living tissues with a depth of a few tens centimeters. An experimental approach for generating adequate NDB in dense scattering media based on the linear relationship between propagation distance and transport mean free path is reported. For annular beams with different diameters, the same changes of the center intensity ratio of NDB are obtained from the experiment results. They are discussed with theoretical analysis. As a result, the maximum center intensity ratio of the adequate generated NDB can be estimated at arbitrary propagation distance in the dense scattering media.

Comparing cloud cover (CC) products from different satellites with the same ground-based CC dataset provides information on the similarities or differences of values among satellite products. For this reason, 42-month CC products from Moderate Resolution Imaging Spectrometer’s (MODIS) Collection 6.1 daily cloud cover products (MOD06_L2, MYD06_L2, MOD08_D3, and MYD08_D3) and Himawari-8 are compared with the ground-based camera datasets. The comparison shows that CC from MODIS differs from ground measurement CC by as much as 57% over Chiba, Japan, when low CC is observed by the camera. This indicates MODIS’s ability to capture high-level clouds that are not effectively seen from the ground. When the camera detects high CC, an indication of the presence of low-level clouds, CC from MODIS is relatively higher than the CC from the camera. In the case of Himawari-8 data, when the camera observes low CC, this difference is around 0.7%. This result indicates that high-level clouds are not effectively observed, but the Himawari-8 data correlates well with camera observations. When the camera observes high CC, Himawari-8-derived CC is lower by around 10% than CC from the camera. These results show the potential of continuous observations of nighttime clouds using the camera to provide a dataset that can be used for intercomparison among nighttime satellite CC products.

Non-diffracting beam (NDB) is useful in lidar transmitter because of its high propagation efficiency and high resolution. We aimed to generate NDB in random media such as haze and cloud. The laboratory experiment was conducted with diluted processed milk (fat: 1.8%, 1.1μmφ). Narrow view angle detector of 5.5mrad was used to detect the forward scattering waveform. We obtained the central peak of NDB at the propagation distance of 5cm ~ 30cm in random media by adjusting the concentration of