Article describes how in Machine Learning, prediction quality is usually measured using different techniques and evaluation methods. This paper will introduce a simple regularization term to manage the number of over-predicted/under-predicted instances in a regression model.

Article asserts that social entrepreneurship continues to grow as an impactful phenomenon in the world and as a rich stream of research. This special issue thus offers insights for researchers, policymakers, educators, and entrepreneurs about how to sustain impactful social/environmental activities over time.

Article asserts that visual imagery is one of the most important methods of communicating with consumers, but scholars have generally neglected the role of different forms of visual imagery (representational and abstract). The authors demonstrate that prevention-focused versus promotion-focused mindsets guide the interpretation of meanings conveyed by representational versus abstract visual imagery as a nonverbal means to achieve regulatory fit.

Article describes how identity theft poses a significant threat to mobile users, yet mobile identity protection is often overlooked in cybersecurity literature. This study adopts a mixed-methods approach and draws on expectancy-value theory to address these gaps and explore the impact of expectations, capabilities, motivational values, technical measures, and awareness on individuals' intentions to achieve mobile identity protection.