The application of machine learning to radiological images is an increasingly active
research area that is expected to grow in the next five to ten years. Recent advances in …

Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …

The international roughness index (IRI) for roads is a crucial pavement design criterion in
the Mechanistic-Empirical Pavement Design Guide (MEPDG). However, studies have shown …

With the development of data mining, machine learning offers opportunities to improve
discrimination by analyzing complex interactions among massive variables. To test the …

Gaps in educational outcomes between racial/ethnic and socioeconomic groups persist in
the United States, and parental involvement is often cited as an important avenue for …

Abstract Background In sub-Saharan Africa, socioeconomic factors such as place of
residence, mother's educational level, or household wealth, are strongly associated with risk …

Organic carbon is a key component of soils and plays a fundamental role in soil fertility and
climate change. Determining the importance of potential drivers of soil organic carbon (SOC) …

Surrogate-assisted evolutionary algorithms have been commonly used in extremely
expensive optimization problems. However, many existing algorithms are only significantly …

Prime editors (PEs) are promising genome-editing tools, but effective optimization of prime-
editing guide RNA (pegRNA) design remains a challenge owing to the lack of accurate and …

Background Over the last few years, the Screening Tool of Older Person's Prescriptions
(STOPP) and Screening Tool to Alert doctors to Right Treatment (START) criteria have been …