Counselor educators (N = 167) in programs accredited by the Council for Accreditation of Counseling and Related Educational Programs were surveyed regarding research training received during their doctoral studies. Respondents shared perspectives regarding the quality and quantity of their research course work as well as suggestions on how to enhance research training in counselor education programs. Differences in the amount, type, and attitudes toward research were found according to programs from which educators were graduated and year of graduation. The influences of mentoring as a critical practice in research training also emerged. Implications for research training in counselor education are discussed.
The U.S. Department of Energy's (DOE's) Wind and Water Power Technologies Office has led a first-ofits-kind comprehen sive analysis to evaluate future pathways for low-carbon, renewable hydropower (hydropower generation and pumped storage) in the United States, focused on continued technical evolution, increased energy market value, and environmental sustainability.
Undertaken through a broad-based collaborative effort, the Hydropower Vision initiative had four principal objectives:• Characterize the current state of hydropower in the United States, including trends, opportunities, and challenges;
On the front cover: Red Rock Hydroelectric Project, Marion County, IA (image courtesy of Missouri River Energy Services). This project, which adds hydropower generation capability to a non-powered dam owned by the U.S. Army Corps of Engineers, will have a capacity of 36.4 MW and generate enough electricity to meet the demand of approximately 18,000 households. The Federal Energy Regulatory Commission issued the Western Minnesota Municipal Power Agency a license to develop the project in April 2011, construction started in the third quarter of 2014 and was completed in the summer of 2020. Commercial operation is scheduled for the spring of 2021.This report is being disseminated by the U.S. Department of Energy (DOE). As such, this document was prepared in compliance with Section 515 of the Treasury and General Government Appropriations Act for fiscal year 2001 (Public Law 106-554) and information quality guidelines issued by DOE. Though this report does not constitute "influential" information, as that term is defined in DOE's information quality guidelines of the Office of Management and Budget's Information Quality Bulletin for Peer Review, the study was reviewed both internally and externally prior to publication. For purposes of external review, the study benefited from advice and comments of eleven hydropower industry and trade association representatives and six U.S. Government employees.
Wildfires cause elevated air pollution that can be detrimental to human health. However, health impact assessments associated with emissions from wildfire events are subject to uncertainty arising from different sources. Here, we quantify and compare major uncertainties in mortality and morbidity outcomes of exposure to fine particulate matter (PM
2.5
) pollution estimated for a series of wildfires in the Southeastern U.S. We present an approach to compare uncertainty in estimated health impacts specifically due to two driving factors, wildfire‐related smoke PM
2.5
fields and variability in concentration‐response parameters from epidemiologic studies of ambient and smoke PM
2.5
. This analysis, focused on the 2016 Southeastern wildfires, suggests that emissions from these fires had public health consequences in North Carolina. Using several methods based on publicly available monitor data and atmospheric models to represent wildfire‐attributable PM
2.5
, we estimate impacts on several health outcomes and quantify associated uncertainty. Multiple concentration‐response parameters derived from studies of ambient and wildfire‐specific PM
2.5
are used to assess health‐related uncertainty. Results show large variability and uncertainty in wildfire impact estimates, with comparable uncertainties due to the smoke pollution fields and health response parameters for some outcomes, but substantially larger health‐related uncertainty for several outcomes. Consideration of these uncertainties can support efforts to improve estimates of wildfire impacts and inform fire‐related decision‐making.
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