Global emissions of polychlorinated naphthalenes from 1912 to 2050.

Polychlorinated naphthalenes (PCNs) are persistent organic compounds that are regulated by the Stockholm Convention. Here, we estimate historical emissions from PCN production and use (1912-1987) and unintentional emissions from 20 categories (2000-2020). A random forest regression model projects emissions for 2020-2050.

Treatment preferences and current practices regarding open tibial shaft fractures.

Purpose: The purpose of this study was to reveal the treatment preferences and current practices regarding open tibial shaft fracture (OTSF).

Patients And Methods: Online surveys of treatment preferences and current practice of OTSF were conducted by orthopedic trauma doctors from various medical institutions in Zhejiang Province. The survey contains three modules.

Compare the performance of multiple binary classification models in microbial high-throughput sequencing datasets.

The development of machine learning and deep learning provided solutions for predicting microbiota response on environmental change based on microbial high-throughput sequencing. However, there were few studies specifically clarifying the performance and practical of two types of binary classification models to find a better algorithm for the microbiota data analysis. Here, for the first time, we evaluated the performance, accuracy and running time of the binary classification models built by three machine learning methods - random forest (RF), support vector machine (SVM), logistic regression (LR), and one deep learning method - back propagation neural network (BPNN).