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Development and evaluation of clinical pregnancy prediction models for intrauterine insemination using three machine learning algorithms
Abstract Background: Predicting clinical pregnancy following intrauterine insemination (IUI) remains challenging because of the complex interplay of multiple biological and treatment-related factors. Machine learning approaches may improve predictive accuracy compared with conventional statistical methods. This study aimed to compare the predictive performance of logistic regression (LR), random forest (RF), and multilayer perceptron (MLP) models and to explore their clinical interpretability.
Study on Interlaminar Fracture Toughness of Carbon Fiber/Epoxy Composites Toughened With Polyethersulfone/Carbon Nanotubes/Nano-Alumina Films
Y.Fu, G.Wang, M.Wang, et al., “Study on Interlaminar Fracture Toughness of Carbon Fiber/Epoxy Composites Toughened With Polyethersulfone/Carbon Nanotubes/Nano-Alumina Films,” Polymer Composites (2026): 1–14, https://doi.org/10.1002/pc.71036. Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement Data will be made available on request.
A glimpse at China's burgeoning edge cloud market
According to CNNIC, a national IT think tank, China had more than 989 million Internet users by the end of 2020, accounting for approximately 70% of the country's total population, although that figure only stood at 909 million a year ago. The Covid-19 crisis has clearly contributed to an accelerated penetration rate of Internet users in China. User behaviour changes have not only burdened the workload of the network but, at the same time, further inspired the development of the cloud industry.
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