Solid-waste pollution is reshaping the social and economic landscape of urban shorelines, yet its livelihood costs remain ...

Objective Breastfeeding prevalence and challenges among women of systemic lupus erythematosus (SLE) and rheumatoid arthritis ...

Childlessness is becoming an increasingly important issue as birth trends are characterized by the postponement of starting a ...

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

Finland: Increased risk of childlessness in an unbalanced partner marketChildlessness in Finland: More men than women are ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Objectives To assess the prevalence and severity of paruresis (‘shy bladder syndrome’) in a population of university staff and students and to determine if there was any relationship between ...

In a bid to make the lives of enterprise data engineers and data scientists easier and developers easier, Google Cloud today announced the release of six new artificial intelligence agent tools. The ...

Objective The objective is to investigate the prevalence of underweight and overweight and obesity (OWOB) and associated risk factors among 5-year-old children born very preterm (VPT). Design ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

Abstract: The use of machine learning aided techniques to analyze real estate data is emerging as a trending research topic and has attracted a lot of interests from both industry and academia. In ...