The goal of the current study was to examine how specific recent stressors are related to electronic nicotine product use among young adults. Despite increases in electronic nicotine product use among adults, stressors shaping the use of these products remain largely unknown. The current study examined the types and average...
Respondent-driven sampling (RDS) is used throughout the world to estimate prevalence and population size for hidden populations. Although RDS is an effective method for enrolling people from key populations in studies, it relies on a partially unknown sampling mechanism, and thus each individual’s inclusion probability is unknown. Current estimators for...
This study explores how a star CEO winning a prestigious award and prior firm performance relative to competitive aspirations, defined as the performance of industry peers, influence competitor CEOs’ risk-taking. Using a difference-in-differences methodology, we find that when a star CEO wins a prominent award, competitor CEOs increase their risk-taking....
Quality relationships among families and teachers in early care and education (ECE) hold
promise to nurture resilience among children impacted by adversity. However, little is known
about how adverse childhood experiences (ACEs) may also affect the interactions between
families and teachers. This study uses quantitative survey data from families (N...
Our study provides a review of theories that were used to study race and racism between 2010 and 2019 in higher education. We conducted a content analysis to identify concepts, statements and models used in higher education studies focused on race and racism in the three most highly read United...
1. Multidimensional trait frameworks are increasingly used to understand plant strategies for growth and survival. However, it is unclear if frameworks developed at a global level can be applied in local communities and how well these frameworks—based largely on plant morphological traits—align with plant physiology and response to stress.
2....
Solvent extraction is an integral chemical and biochemical separation process that is drastically intensified in microfluidic systems. A novel high-throughput micro-separator was additively manufactured for the intensification of liquid–liquid separation. The micro-posts array within the flow plate generated a capillary pressure gradient on the non-wetting organic phase, enabling continuous, membrane-free,...
Given the abundance of images related to operations that are being captured and stored, it behooves firms to innovate systems using image processing to improve operational performance that refers to any activity that can save labor cost. In this paper, we use deep learning techniques, combined with classic image/signal processing...
Over recent decades, the Bering Sea has experienced oceanic and atmospheric
climate extremes, including record warm ocean temperature anomalies and marine heatwaves (MHWs), and increasingly variable air-sea heat fluxes. In this work, we assess the relative roles of surface forcing and ocean dynamical processes on mixed layer temperature (MLT) tendency...
Research has identified seven characteristics—value congruence, shared interests, perceived demographic similarity, needs-supplies match, goal similarity, common workstyle, and complementary attributes—on which group members simultaneously evaluate their perceived person-group (PG) fit. Most of extant research has focused on how each characteristic or them as a composite predicts outcomes. However, these variable-centered...