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A liquid-core (LiCo) dye laser was demonstrated using Rhodamine B (RhB) dissolved in glycerol as the gain medium and fluorinated ethylene propylene (FEP) tubing as the waveguide. Photoluminescence and amplified spontaneous emission studies identified optimal RhB concentrations of 0.1 wt.% and 0.3 wt.% for low-threshold laser operation. Laser emission was achieved in LiCo rods with 1/16″ and 1/32″ inner diameter FEP tubing, with narrower tubing providing enhanced mode confinement and spectral narrowing. The addition of cavity mirrors improved emission coherence, revealing a distinct laser mode at low pump energies with mode spacing inconsistent with a simple Fabry-Pérot cavity, indicating complex mode coupling and internal reflections. Limitations include spectral broadening and scattering-induced parasitic feedback, which suggest avenues for further optimization in waveguide materials and output coupling. 

Climate change is altering our environment, subjecting multiple agroecosystems worldwide to an increased frequency and intensity of abiotic stress conditions such as heat, drought, flooding, salinity, cold and/or their potential combinations. These stresses impact plant growth, yield and survival, causing losses of billions of dollars to agricultural productivity, and in extreme cases they lead to famine, migration and even wars. As the rate of change in our environment has dramatically accelerated in recent years, more research is urgently needed to discover and develop new ways and tools to increase the resilience of crops to different stress conditions. In this theme issue, new studies addressing the molecular, metabolic, and physiological responses of crops and other plants to abiotic stress challenges are discussed, as well as the potential to exploit these mechanisms in biotechnological applications aimed at preserving and/or increasing crop yield under our changing climate conditions. This article is part of the theme issue ‘Crops under stress: can we mitigate the impacts of climate change on agriculture and launch the ‘Resilience Revolution’?’ 

Context:Many people living in the 5 inhabited US territories experience high rates of natural hazard exposure and social vulnerability to disaster impacts. Public health workforce development and evidence-based, culturally competent approaches to disaster preparedness, response, and recovery are needed in these regions. Program:In 2020, the Natural Hazards Center established thePublic Health Disaster Research Award Programwith funding from the Centers for Disease Control and Prevention. The program’s goal is to advance public health disaster research and practice by funding, training, mentoring, and connecting researchers, students, and practitioners in historically underserved areas with high natural hazard risk. Between 2020 and 2022, 26 research teams received up to $50 000 each to investigate public health disasters in 1 or more US territories. The program also supported awardees by providing individual consultations, online trainings, feedback on report drafts, and a virtual group workshop on the public health implications of research. Awardees authored final reports and presented at a public webinar. Evaluation:In 2023, the Natural Hazards Center developed and distributed an online survey to all principal investigators. The survey evaluated how awardees advanced knowledge about public health disasters in the US territories; what skills, resources, and connections they acquired; and how they translated their research into public health applications and otherwise disseminated their findings. Discussion:Our evaluation showed that the program is advancing knowledge of understudied hazard contexts and socially vulnerable populations in the US territories and supports awardees in sharing their findings with academics, policymakers, and practitioners. Moreover, it expanded the public health disaster workforce by bringing professionals from a diverse range of disciplines and institutions into the field, and by investing in students, early career scholars, and investigators based in US territories. Researchers are working with local partners to apply their findings to practice. 

Abstract High-quality cancer data are fundamental for public health research and policy, but cancer data for small geographic units and population subgroups in the United States are rarely available due to small-sample suppression rules, spatial coarsening, and data incompleteness. These limitations hinder high-resolution spatial analyses and precision public health interventions. This study provides a high-resolution cancer incidence dataset for the U.S., generated through a multi-constraint Monte Carlo simulation framework that reconstructs suppressed county-level cancer data and systematically disaggregates them to ZIP Code Tabulation Areas (ZCTAs), guided by demographic constraints. This method integrates population subgroup structures and macro-level incidence rates as constraints, ensuring consistency and reliability across spatial scales. The resulting dataset spans multiple geographic units, from state and county levels to ZCTAs, enabling comprehensive analyses of cancer burden, in-depth spatial analyses, and precision public health interventions across multiple scales.