- Research Article
- 10.1016/j.cptl.2026.102646
Silos to synergy: Developing collaborative scholarship theme teams for pharmacy faculty.
- Jul 01, 2026
- Currents in pharmacy teaching & learning
- Kelsey D Frederick + 10 more +10
Publications from 2021 to 2026
Showing 10 of 16,947 papers
Silos to synergy: Developing collaborative scholarship theme teams for pharmacy faculty.
Sedentary behavior and physical health status explain the relationship between years of residence in socioeconomically distressed counties and risk for Cardiovascular diseases.
Disaster-related buying behaviors and households’ inventory levels during a pandemic: evidence from Latin America
Pandemic-scale disruptions can trigger disaster-related buying behaviors (DRBBs) that amplify shortages and strain supply chains, making it essential to understand how households adjust essential-goods inventories during crises. Using COVID-19 as an empirical case, this study offers the first multi-country Latin American comparison of DRBBs, measured as revealed changes in household inventory-days, and integrates Prospect Theory and Liquidity Constraints Theory to explain how perceived losses and risk interact with financial capacity. Survey data collected April–June 2020 across seven Latin American countries (N = 1,821) are analyzed using a Poisson rate model with an offset for baseline inventory-days. Results indicate that households with children and those facing greater pandemic severity tend to maintain higher inventory levels of basic supplies, while the effects of income and experienced shortages vary across countries, with reduced purchasing power and constrained access often associated with lower inventory levels. These findings guide targeted interventions to reduce DRBB externalities and protect equitable access to essentials in future crises.
Read moreCross-domain digital twin architecture for predictive maintenance via machine learning and Large Language Models
Genomic insights into the evolution and adaptation of Listeria monocytogenes in poultry production systems.
Parking patterns of last-mile delivery vehicles: a comparison between light-duty trucks and electric cargo tricycles in downtown Toronto
Advancing Weather and Climate Science in Mesoamerica and the Caribbean: A Novel Regional Multiweek Convection-Permitting Simulation
Abstract Understanding the weather and climate of Mesoamerica and the Caribbean remains challenging due to complex hydroclimate interactions, limited observations, and poor representation of regional processes in global models. We introduce the Mesoamerica Affinity Group (MAAG), a National Science Foundation (NSF) National Center for Atmospheric Research (NCAR) and community initiative that fosters research collaboration to advance weather and climate science, develop convection-permitting datasets, and promote knowledge exchange. MAAG’s first major contribution is a 2-week convection-permitting simulation of Hurricane Maria (2017) using Model for Prediction Across Scales–Atmosphere (MPAS-A), featuring a novel regional 15- to 3-km variable-resolution mesh over the region. Initial evaluation shows that MPAS-A captures key features like precipitation patterns, the intertropical convergence zone, and low-level jets. Some biases remain, particularly in enhanced land convection and slight deviations in Maria’s track. This novel dataset, now publicly available through NCAR’s Data Archive, supports studies of other extreme events and mesoscale convective systems active during the same period. It offers a valuable resource for the research community. MAAG is a new but rapidly growing initiative achieving notable milestones in a short time. It serves as a collaborative platform for codesigning high-resolution modeling experiments aimed at producing actionable weather and climate information. We invite the community to join MAAG, explore this initial dataset, and advance regional weather and climate research. Significance Statement The Mesoamerica Affinity Group (MAAG), a National Science Foundation (NSF) National Center for Atmospheric Research (NCAR) and community initiative, aims at addressing the complex challenges of understanding weather and climate in Mesoamerica and the Caribbean. MAAG’s first major achievement is a 2-week convection-permitting simulation of Hurricane Maria (2017) using a novel 15- to 3-km variable-resolution mesh. This dataset accurately captures key regional features and is publicly available through NCAR’s Data Archive. By fostering collaboration through data production and sharing, monthly group meetings that serve as a platform for networking and knowledge exchange, and the development of advanced high-resolution datasets, MAAG provides a vital resource for advancing regional weather and climate science. The initiative is rapidly growing, serving as a platform for codesigned modeling experiments aimed at producing actionable climate information for academia and different sectors. We invite the scientific community to join MAAG and advance research in this critical region.
Read moreBistable superlattice switching in a quantum spin Hall insulator.
Bistable switching typically arises from ferroic orders, such as ferroelectricity and ferromagnetism, in which the bistable states are encoded in charge or spin degrees offreedom1,2. Here we report the observation of bistable superlattice switching in monolayer TaIrTe4, a dual quantum spin Hall insulator3-5. Switching occurs between two lattice configurations with sharply contrasting periodicities. In particular, in a pristine monolayer, we observe the spontaneous emergence of a long-period superlattice that can be programmed on and off in a non-volatile manner by electrostatic tuning of low-energy electronic states. This switching toggles the system between two structural configurations with unit cell areas differing by two orders of magnitude. Mechanistically, our results reveal two independent and distinct instabilities, one in the lattice and the other in the quantum spin Hall electrons. These instabilities are coupled, leading to electrostatic control of lattice configurations with non-volatile memory. This finding is enabled by combining linear and nonlinear transport measurements6-13, Raman spectroscopy and scanning tunnelling microscopy, which probe complementary aspects of the underlying orders. Notably, this non-volatile memory stabilizes a spontaneous superlattice with a periodicity on the few-nanometre scale that remains robust across a wide doping range, persists over days and survives above 70 K. Our preliminary data also show the emergence of new insulating states at fractional superlattice fillings, which can be switched on and off together with the superlattice.
Read moreWhere Are We Today? State of Organic Agriculture Education and Technical Programs: Proceedings from the ASHS Organic Interest Group 2025 Workshop
Universities vary greatly in their organic agriculture education programs, with differences in student interest in studying organic production and food systems, classes offered, and infrastructure and facilities. The organic agriculture curriculum options are also evolving as a result of departmental or college-level curriculum revisions. Similarly, the technical assistance provided for growers varies from state to state. Recent US Department of Agriculture–Agricultural Marketing Service Transition to Organic Partnership Program programming has created more interest in providing and growing this assistance. The workshop “Where are we today? State of Organic Education and Technical Programs” was conducted at the 2025 American Society for Horticultural Science Conference in New Orleans, LA, USA, and featured a panel of teaching and extension scholars who provided insights into the existing programs and challenges that are currently affecting organic production across the United States. This workshop focused on discussing the challenges to organic agriculture education both at the undergraduate and farmer levels, and opportunities for growth.
Read moreData-driven reduced-order modeling framework for blunt-body aerodynamic characterization