ECB-WQ: A Long-Term Agroecosystem Research (LTAR)-Eastern Corn Belt node field-scale water quality dataset.

The Eastern Corn Belt (ECB) node of the Long-Term Agroecosystem Research (LTAR) network is representative of row crop agricultural production systems in the poorly drained, humid regions of the US Midwest and a significant focus for addressing water quantity and quality concerns affecting Lake Erie and the Gulf of Mexico. The objectives of this paper were to (1) present relevant background information and collection methodology, (2) provide summary analyses of measured data, and (3) provide details for accessing the dataset and discuss potential database applications. The ECB-water quality (ECB-WQ) database is comprised of hydrology and water quality data from three privately owned farms in Northwest Ohio and Northeast Indiana and is available for download through the United States Department of Agriculture Ag Data Commons.

Perspectives on vaccination among unvaccinated members of a Canadian indigenous population.

From the beginning of the COVID-19 pandemic, the potential impact on Indigenous (First Nations, Métis and Inuit) communities in Canada was a major concern. Evidence from previous pandemics, particularly H1N1, suggested that more cases and poorer outcomes among Indigenous Peoples was likely and that there might be barriers to Indigenous Peoples' vaccination. In this short report we consider the non-vaccination decisions of a sample of unvaccinated Métis Nation of Ontario citizens.

Driving key partner engagement by integrating community-engaged principles into a stakeholder analysis: A qualitative study.

Introduction: The stakeholder analysis approach has historically been top-down rather than collaborative with key partners. However, this approach poses challenges for key partner engagement and community-engaged research, which aims to incorporate key partners throughout the project. This study, conducted by the Community Engagement Network at a Midwest Academic Medical Center, seeks to examine the value of community-engaged research for diverse key partners to increase collaboration, strengthen partnerships, and enhance impact, ultimately driving key partner engagement.

Balancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways.

Analysis of resting state fMRI (rs-fMRI) typically excludes images substantially degraded by subject motion. However, data quality, including degree of motion, relates to a broad set of participant characteristics, particularly in pediatric neuroimaging. Consequently, when planning quality control (QC) procedures researchers must balance data quality concerns against the possibility of biasing results by eliminating data.

Surgical management of giant cell arteritis of the proximal aorta.

Objective: Giant cell arteritis (GCA) may present as proximal aortic pathology requiring surgical intervention. We present our experience with surgical management of GCA in patients presenting with proximal aortic disease.

Methods: From January 1993 to May 2020, 184 adult patients were diagnosed with GCA on histopathology after undergoing cardiac surgery.