Given the prevalence of alcohol consumption and the relative infrequency of harm among college students, the authors sought to determine how most college students protect themselves from alcohol-related harm. An analysis of the aggregate National College Health Assessment data identified a cluster of personal protective behaviors that correlated with reduced risk when drinking. Further analysis revealed that nearly three-quarters of student drinkers regularly employ at least 1 protective behavior, and well over half of the students who use protective behaviors routinely employ 2 or more. In addition, the data reveal that student drinkers employ situational abstinence, with nearly 7 out of 10 students reporting that they sometimes or usually refrain from drinking alcohol when they socialize. The use of these protective behaviors is a strong predictor of safety and harm for college-student drinkers.
Data-driven applications are becoming increasingly important, fueled by the rapid rise of the Internet of Things (IoT) and Artificial Intelligence (AI). Systems must now be able to store, process and act swiftly on increasingly large amounts of data, while consuming minimum possible power. This shifts the focus to system-level integration and optimization – especially as Moore's Law slows down, and technology development at 5nm and beyond becomes increasingly harder and more expensive. SEMI has built a cross-supply-chain collaborative platform specifically to enable an early assessment of trade-offs and future technologies (5–8 years out). The first project focused on interconnect strategies, which are critical to most computing systems. We examined the performance limits for the best possible options for on-chip interconnects at technology nodes <= 20 nm. These limits highlight the need for system-level strategies, and we studied these by comparing a two-dimensional (2D) system with an interposer-based system (2.5D) to quantify the impact of the latter on the energy-delay product for various applications, especially data-driven ones.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.