Quality Assurance on the Groundwater Monitoring Task Force Facility Assessment Program

2009 ◽  
pp. 101-101-11
Author(s):  
MJ Kangas ◽  
TE Tyburski ◽  
JA Duchene ◽  
PH Friedman
2010 ◽  
Vol 17 (5) ◽  
pp. 229-232 ◽  
Author(s):  
Adam Blackman ◽  
Catherine McGregor ◽  
Robert Dales ◽  
Helen S Driver ◽  
Ilya Dumov ◽  
...  

The present position paper on the use of portable monitoring (PM) as a diagnostic tool for obstructive sleep apnea/hypopnea (OSAH) in adults was based on consensus and expert opinion regarding best practice standards from stakeholders across Canada. These recommendations were prepared to guide appropriate clinical use of this new technology and to ensure that quality assurance standards are adhered to. Clinical guidelines for the use of PM for the diagnosis and management of OSAH as an alternative to in-laboratory polysomnography published by the American Academy of Sleep Medicine Portable Monitoring Task Force were used to tailor our recommendations to address the following: indications; methodology including physician involvement, physician and technical staff qualifications, and follow-up requirements; technical considerations; quality assurance; and conflict of interest guidelines. When used appropriately under the supervision of a physician with training in sleep medicine, and in conjunction with a comprehensive sleep evaluation, PM may expedite treatment when there is a high clinical suspicion of OSAH.


2020 ◽  
Author(s):  
Efisio Solazzo ◽  
Peter Bergamaschi ◽  
margarita Choulga ◽  
Gabriel Oreggioni ◽  
Marilena Muntean ◽  
...  

<p>Emission inventories of greenhouse gases built up from international statistics of human-related activities and emission factors (often referred to as ‘bottom-up’ inventories) are at the core of emission trend analysis to inform policy actions and scientific applications, to support climate negotiation and pledges for mitigation options.</p><p>Increasingly gaining importance is the quantification of the inherent uncertainty of these inventories that could allow moving towards a verification system in support of the enhanced transparency framework of the Paris Agreement, in particular the global stocktakes. Recently, two H2020 projects – CHE (CO2 Human Emissions) and VERIFY – are focusing on this sensible aspect. This paper produces an unprecedented propagation of uncertainty applied to emissions of CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O, impinging in both projects. Starting from the human emission estimates of the Emission Database for Global Atmospheric Research (EDGAR), which encompasses historic and sectoral emissions from all world countries and using the error propagation method, uncertainties of the CO<sub>2</sub>, CH<sub>4 </sub>and N<sub>2</sub>O emissions were computed per sector and country.</p><p>The devised methodology applies uncertainty stemming from statistics of human activity and emission factors using the guidelines of Intergovernmental Panel on Climate Change (IPCC 2006). The analysis takes into consideration the accuracy of emission estimates for developed versus developing countries, correlation arising from sector aggregation, and includes an ad-hoc treatment for specific sources and country specific emission factors. The results of emissions and their uncertainties are available for all world countries and all IPCC/EDGAR sectors, and for each country, the share of the total uncertainty each sector is responsible for, is identified.</p><p>Our results show that world-wide CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O emissions lies in a confidence range of 5%, 33% and in excess of 100%, respectively. The sectors most responsible for such uncertainty depend strongly on the statistical infrastructure of the country but we observe in general that few sectors with smaller emission total are contributing to a large proportion of the total uncertainty.</p><p>This global uncertainty assessment aims at contributing to the European initiative of the CO2 Monitoring Task Force, building up an operational greenhouse gas monitoring and verification support capacity.</p>


2010 ◽  
Vol 71 (5) ◽  
pp. AB152 ◽  
Author(s):  
Jerome Sint Nicolaas ◽  
Vincent De Jonge ◽  
Onno Van Baalen ◽  
Frank Ter Borg ◽  
Johannes T. Brouwer ◽  
...  

2019 ◽  
Author(s):  
Scott W. H. Young ◽  
David Swedman ◽  
Martha Kyrillidou

How can we apply an assessment lens to our own assessment practices? To answer this question, we follow a mixed-methods approach by applying the assessment ecosystem design described in the recent ARL Assessment Program Visioning Task Force Recommendations (December 17, 2017). Our research synthesizes the evidence and insights gathered through three methods: a case study analysis, a comparative analysis, and a gap analysis.First, we examine a case study of a UX and Assessment (UX&A) program recently developed at Montana State University (MSU). The vision of the UX&A program at MSU is to build and sustain a library that is useful, usable, and desirable for our diverse community of users. UX&A personnel work collaboratively with other Library departments to continually measure, assess, and improve users' experience of Library services and instruction, both physical and online. This new UX&A program was developed in tandem with a new library strategic plan, which is based on the Balanced Scorecard framework.With the new assessment program and strategic plan in place, we conducted a second phase of research: a comparative analysis of the MSU UX&A program vis-à-vis the assessment landscape described in the ARL Recommendations. In this analysis, we highlight which ecosystem elements are currently in place, which elements are in development, and which still need to be developed at MSU.Next, we conducted a gap analysis comparing the ARL recommendations with established and emerging user experience and assessment programs in place at other research libraries to determine if there are additional elements outside of these recommendations that may be useful for describing, assessing, and improving a library’s assessment framework.Finally, we synthesized the insights gathered from our meta-assessment to create an enhanced version of the ARL ecosystem as applied to the MSU library. In terms of practical impact, this enhanced meta-assessment ecosystem can be applied to comprehensively evaluate and improve a library’s user experience and assessment program. Our research ultimately demonstrates and models an approach for meta-assessment that can help inform the development of more effective and sustainable library UX and assessment programs, for the ultimate benefit of our users.


1989 ◽  
Vol 1989 (1) ◽  
pp. 331-332
Author(s):  
J. P. Fraser ◽  
S. A. Horn ◽  
L. J. Kazmierczak ◽  
M. L. Kinworthy ◽  
A. H. Lasday ◽  
...  

ABSTRACT The American Petroleum Institute Spill Response and Effects Task Force has developed guidelines (a “model plan”) for use of dispersants on spilled oil. This model plan is consistent with subpart H of the National Contingency Plan and provides the information needed to implement subpart H. The model plan addresses the questions of where, when, why, and how dispersants should be used and what materials should be used. The components of the model plan are the following:Detailed descriptions of most of the currently used methods for making dispersant use decisionsA dispersant use information form (Federal Region VI format)Discussion of the technical basis for dispersant use decision makingTabulations of properties (specific gravity, viscosity, pour point, and sulfur content) of oils transported through or produced in the area of interest, including an indication of relative dispersibility of each of these productsInventories of dispersants and application equipmentA quality assurance/quality control planLiterature on dispersant application techniques. The purpose of developing this model plan is to provide a format that may be used to establish consistent regional and local dispersant use plans throughout the country.


2014 ◽  
Vol 40 (12) ◽  
pp. 1795-1815 ◽  
Author(s):  
Maurizio Cecconi ◽  
Daniel De Backer ◽  
Massimo Antonelli ◽  
Richard Beale ◽  
Jan Bakker ◽  
...  

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