Online yarn hairiness- Loop & protruding fibers dataset.

This paper introduces an online dataset focused on detecting hairiness in yarn, including loop and protruding fibers. The dataset is designed for use in assessing artificial intelligence algorithms. The dataset consists of 684 original images.

University Dropout in Engineering: Motives and Student Trajectories.

Background: Dropout in higher education is a concern for students, families, educational institutions, and society. Tertiary education is an important mechanism for empowering people and STEM courses are vital to countries' development.

Method: The study combined quantitative and qualitative data.

Impact of the Maternal and Child Health handbook in Angola for improving continuum of care and other maternal and child health indicators: study protocol for a cluster randomised controlled trial.

Background: The Maternal and Child Health (MCH) handbook is an integrated home-based record (HBR) designed to record in a single document all the information regarding health services provided to a pregnant woman and her child. The MCH handbook has the potential to support continuity of care which is key to strengthening maternal, newborn and child health. However, there is a lack of an integrated system to manage the health of pregnant women and young children on an ongoing basis in Angola.