Background: Despite historical and contemporary trauma, American Indian and Alaska Native (AIAN; Indigenous) communities responded with resilience to the COVID-19 pandemic. However, AIANs experienced disproportionate rates of infection, hospitalization, death, and reduced life expectancy. School closures exacerbated disparities, leading to learning loss, economic instability, and mental health challenges among AIAN youth.
View Article and Find Full Text PDFIntroduction: American Indian and Alaska Native (AIAN) communities continue to flourish and innovate in the face of the COVID-19 pandemic. Storytelling is an important tradition for AIAN communities that can function as an intervention modality. To support the needs of AIAN children and caregivers, we (a collaborative workgroup of Indigenous health researchers) developed a culturally grounded storybook that provides pandemic-related public health guidance and mental health coping strategies woven with Inter-Tribal values and teachings.
View Article and Find Full Text PDFAmmonia-oxidizing archaea (AOA) are among the most ubiquitous and abundant archaea on Earth, widely distributed in marine, terrestrial, and geothermal ecosystems. However, the genomic diversity, biogeography, and evolutionary process of AOA populations in subsurface environments are vastly understudied compared to those in marine and soil systems. Here, we report a novel AOA order Candidatus (Ca.
View Article and Find Full Text PDFWithdrawal: 'Baseline Sociodemographic Characteristics and Mental Health Status of Primary Caregivers and Children Attending Schools on the Navajo Nation and White Mountain Apache Tribe During COVID-19' by Shannon Archuleta MPH, Joshuaa D. Allison-Burbank PhD, Allison Ingalls MPH, Renae Begay MPH, Ryan Grass BS, Francene Larzelere PhD, Vanessa Begaye BS, Lacey Howe BS, Alicia Tsosie BS, Angelina Phoebe Keryte BA, Emily E. Haroz PhD, J Sch Health 2024, 10.
View Article and Find Full Text PDFBackground: Chromatographic peakpicking continues to represent a significant bottleneck in automated LC-MS workflows. Uncontrolled false discovery rates and the lack of manually-calibrated quality metrics require researchers to visually evaluate individual peaks, requiring large amounts of time and breaking replicability. This problem is exacerbated in noisy environmental datasets and for novel separation methods such as hydrophilic interaction columns in metabolomics, creating a demand for a simple, intuitive, and robust metric of peak quality.
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