No abstract

No abstract

Background Associations between trajectories of systolic blood pressure (SBP) during pregnancy and pregnant outcomes remain unclear and disparate. Methods Data of 20,353 mothers without chronic hypertension and who delivered live singletons between January, 2014 and November, 2019, was extracted from Taicang register-based cohort. Based on SBP measured during 10 to 40 weeks of gestation, SBP trajectories were explored using latent class growth mixture model, and their associations with maternal and neonatal outcomes were assessed by logistic regression analyses. Results Six heterogeneous SBP trajectories were identified: low delayed-increasing (7.47%), low reverse-increasing (21.88%), low-stable (19.13%), medium-stable (21.64%), medium reverse-increasing (16.47%), and high stable (13.41%) trajectories. The high-stable trajectory had SBP around 125 mmHg in the 10th gestational week, and increased slightly onwards. When compared with the low-stable trajectory, the high-stable trajectory had maximally adjusted odds ratio (95% confidence interval) of 5.28 (2.76–10.10), 1.30 (1.13–1.50), 1.53 (1.12–2.08), 1.32 (1.06–1.65) and 1.64 (1.08–2.48) for gestational hypertension (GH), early-term delivery (ETD), preterm delivery (PTD), small for gestational age and low birth weight (LBW), respectively. Besides, the medium reverse-increasing trajectory showed significantly increased risk of GH and ETD, while the medium-stable trajectory had significantly elevated risk of ETD and PTD. Notably, SBP trajectories slightly but significantly improved risk discrimination of GH, ETD and LBW, over traditional risk factors. Conclusion Women with different SBP trajectories were at varied risk of adverse maternal and fetal outcomes. Meanwhile, our study suggested that BP monitoring during pregnancy is necessary, especially for women with high SBP in early pregnancy or upward trajectory.

No abstract

Smartphones have surged into popularity in recent years, which has dramatically changed the way people live, work, and have fun. Smartphone games are an important type of Smartphone applications, which attract many software developers. However, they still have not caught much research attention in the software dependability community. In this paper, we study the characteristics of over 2000 Android games with software analysis techniques, with a focus on their dependability issues. Our study suggests that a new security paradigm is of great importance to Smartphone games to prevent potential privilege abuse. Moreover, a new set of testing and debugging approaches should be specifically tailored for Smartphone games, since games are becoming more complicated. Our study also reveals that most games are not specifically optimized according to the user pattern of Smartphones. We expect these open problems can bring more attentions to the software dependability community.