A data collection program for x‐ray diffractometry

1992 ◽  
Vol 63 (1) ◽  
pp. 992-994 ◽  
Author(s):  
Sean Brennan
Keyword(s):  
Data Collection ◽  
X Ray ◽  
Data Collection Program ◽  
Collection Program

scholarly journals Remote Sensing Is Changing Our View of the Coast: Insights from 40 Years of Monitoring at Narrabeen-Collaroy, Australia

2018 ◽  
Vol 10 (11) ◽  
pp. 1744 ◽  
Author(s):  
Kristen Splinter ◽  
Mitchell Harley ◽  
Ian Turner
Keyword(s):  
Remote Sensing ◽  
Data Collection ◽  
Temporal Resolution ◽  
Monitoring Program ◽  
Google Earth ◽  
Airborne Lidar ◽  
Data Collection Program ◽  
Insight Into ◽  
Collection Program

Narrabeen-Collaroy Beach, located on the Northern Beaches of Sydney along the Pacific coast of southeast Australia, is one of the longest continuously monitored beaches in the world. This paper provides an overview of the evolution and international scientific impact of this long-term beach monitoring program, from its humble beginnings over 40 years ago using the rod and tape measure Emery field survey method; to today, where the application of remote sensing data collection including drones, satellites and crowd-sourced smartphone images, are now core aspects of this continuing and much expanded monitoring effort. Commenced in 1976, surveying at this beach for the first 30 years focused on in-situ methods, whereby the growing database of monthly beach profile surveys informed the coastal science community about fundamental processes such as beach state evolution and the role of cross-shore and alongshore sediment transport in embayment morphodynamics. In the mid-2000s, continuous (hourly) video-based monitoring was the first application of routine remote sensing at the site, providing much greater spatial and temporal resolution over the traditional monthly surveys. This implementation of video as the first of a now rapidly expanding range of remote sensing tools and techniques also facilitated much wider access by the international research community to the continuing data collection program at Narrabeen-Collaroy. In the past decade the video-based data streams have formed the basis of deeper understanding into storm to multi-year response of the shoreline to changing wave conditions and also contributed to progress in the understanding of estuary entrance dynamics. More recently, ‘opportunistic’ remote sensing platforms such as surf cameras and smartphones have also been used for image-based shoreline data collection. Commencing in 2011, a significant new focus for the Narrabeen-Collaroy monitoring program shifted to include airborne lidar (and later Unmanned Aerial Vehicles (UAVs)), in an enhanced effort to quantify the morphological impacts of individual storm events, understand key drivers of erosion, and the placing of these observations within their broader regional context. A fixed continuous scanning lidar installed in 2014 again improved the spatial and temporal resolution of the remote-sensed data collection, providing new insight into swash dynamics and the often-overlooked processes of post-storm beach recovery. The use of satellite data that is now readily available to all coastal researchers via Google Earth Engine continues to expand the routine data collection program and provide key insight into multi-decadal shoreline variability. As new and expanding remote sensing technologies continue to emerge, a key lesson from the long-term monitoring at Narrabeen-Collaroy is the importance of a regular re-evaluation of what data is most needed to progress the science.

Abstract 18: Does Quality Improvement Training Add to Audit and Feedback for Inpatient Stroke Care Processes?

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Linda S Williams ◽  
Virginia Daggett ◽  
James Slaven ◽  
Zhangsheng Yu ◽  
Danielle Sager ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Data Collection ◽  
Group Interaction ◽  
Logistic Models ◽  
Stroke Care ◽  
Audit And Feedback ◽  
Dvt Prophylaxis ◽  
Care Processes ◽  
Data Collection Program ◽  
Collection Program

Background: Despite advances in stroke care, many patients do not receive recommended care processes. Quality indicator (QI) reporting programs, like GWTG-Stroke, have been shown to improve care. We sought to determine whether training plus QI feedback was more effective than QI feedback alone in improving two stroke QIs. Methods: We conducted a cluster randomized trial in 11 VA hospitals. Sites were randomized to a quality improvement training program plus QI feedback vs. QI feedback alone to improve DVT prophylaxis and dysphagia screening. Intervention sites received face-to-face training, developed individualized improvement plans, and had 6 months of post-training facilitation. Both groups received monthly QI feedback. Eligibility and passing for the two stroke QIs, plus nine other stroke QIs, was determined by centralized chart review. We compared pre-intervention (pre-I) to post-intervention (post-I) performance on the two stroke QIs and on defect-free care (DF, a binary patient-level variable including all QIs) in intervention vs. control sites. We constructed logistic models of the two QIs and DF care, adjusting for patient variables, time, intervention group, and time-group interaction. Results: The five intervention sites had 1147 admissions and the six control sites had 1017 admissions during the study period. DVT prophylaxis was similar pre-I (85% vs. 90%) and improved in both groups (post-I rates 90% intervention and 94% control, ratio of ORs 0.89, p = 0.75). Dysphagia screening was higher pre-I in intervention sites (51% vs. 37%), and improved more in the control sites (post-I 56% and 52%, ratio of ORs 0.67, p=0.04). In logistic models, DVT, Dysphagia, and DF performance were associated with baseline performance and post-I time. Dysphagia performance was also associated with NIHSS and time-group interaction, and DF care was also associated with the presence of a baseline data collection program. Conclusion: Quality improvement training did not add to the impact of data feedback in sites already motivated to participate in QI initiatives. Defect-free stroke care is associated with an ongoing stroke data collection program, emphasizing the importance of audit and feedback to achieve the highest quality stroke care.

scholarly journals Declining trends in invasive orthopedic interventions for people with hemophilia enrolled in the Universal Data Collection program (2000-2010)

Haemophilia ◽  
2016 ◽  
Vol 22 (4) ◽  
pp. 604-614 ◽  
Author(s):  
P. Tobase ◽  
H. Lane ◽  
A.-E-A. Siddiqi ◽  
R. Ingram-Rich ◽  
R. S. Ward ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Collection Program ◽  
Collection Program

Selected Food Microbiological Data Collected through a Computerized Program

1977 ◽  
Vol 40 (3) ◽  
pp. 166-169 ◽  
Author(s):  
JAMES L. FOWLER ◽  
DANNIE L. STUTZMAN ◽  
JAMES F. FOSTER ◽  
WILLIAM H. LANGLEY
Keyword(s):  
Data Collection ◽  
Department Of Defense ◽  
Food Samples ◽  
Computer Language ◽  
Central Location ◽  
Beef Products ◽  
Data Collection Program ◽  
Microbiological Criteria ◽  
Microbiological Data ◽  
Collection Program

Selected results from a Computerized Food Microbiological Data Collection program are presented. Data are generated by 11 Department of Defense (DoD) laboratories and forwarded to a central location, coded into computer language, and entered into an existing program. As designed, the program is quite flexible, and selected retrievals for special purposes are easily accomplished. The total file contains data from over 30,000 food samples. Presented in this report are data on 810 samples of comminuted beef products, 215 samples of luncheon meats, 653 prepared sandwiches, and 1,023 delicatessen salads. Data are compared with existing microbiological criteria, if applicable. The retrieval of data from the file on such products should be useful in establishing future standards or guidelines.

TXTCOL4: String data collection program

1983 ◽  
Vol 1 (2) ◽  
pp. 121-123
Author(s):  
Mark Olsen ◽  
Mark Olsen
Keyword(s):  
Data Collection ◽  
Data Collection Program ◽  
Collection Program
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