scholarly journals Analysis of environmental and biologic methyl parathion data to improve future data collection.

2002 ◽  
Vol 110 (suppl 6) ◽  
pp. 1071-1074 ◽  
Author(s):  
Rubina Imtiaz ◽  
Gilbert Haugh
Keyword(s):  
Data Collection ◽  
Methyl Parathion ◽  
Future Data

scholarly journals Distributed Data Collection for the Next Generation ATLAS EventIndex Project

2019 ◽  
Vol 214 ◽  
pp. 04010
Author(s):  
Álvaro Fernández Casaní ◽  
Dario Barberis ◽  
Javier Sánchez ◽  
Carlos García Montoro ◽  
Santiago González de la Hoz ◽  
...  
Keyword(s):  
Data Collection ◽  
Current Approach ◽  
Distributed Data ◽  
Future Data ◽  
Data Files ◽  
Complete Catalogue ◽  
And Performance ◽  
Processing And Storage ◽  
Storage Technologies ◽  
And Storage

The ATLAS EventIndex currently runs in production in order to build a complete catalogue of events for experiments with large amounts of data. The current approach is to index all final produced data files at CERN Tier0, and at hundreds of grid sites, with a distributed data collection architecture using Object Stores to temporarily maintain the conveyed information, with references to them sent with a Messaging System. The final backend of all the indexed data is a central Hadoop infrastructure at CERN; an Oracle relational database is used for faster access to a subset of this information. In the future of ATLAS, instead of files, the event should be the atomic information unit for metadata, in order to accommodate future data processing and storage technologies. Files will no longer be static quantities, possibly dynamically aggregating data, and also allowing event-level granularity processing in heavily parallel computing environments. It also simplifies the handling of loss and or extension of data. In this sense the EventIndex may evolve towards a generalized whiteboard, with the ability to build collections and virtual datasets for end users. This proceedings describes the current Distributed Data Collection Architecture of the ATLAS EventIndex project, with details of the Producer, Consumer and Supervisor entities, and the protocol and information temporarily stored in the ObjectStore. It also shows the data flow rates and performance achieved since the new Object Store as temporary store approach was put in production in July 2017. We review the challenges imposed by the expected increasing rates that will reach 35 billion new real events per year in Run 3, and 100 billion new real events per year in Run 4. For simulated events the numbers are even higher, with 100 billion events/year in run 3, and 300 billion events/year in run 4. We also outline the challenges we face in order to accommodate future use cases in the EventIndex.

Multiple Model Analysis of Sediment Transport and Contaminant Distribution in the Clinch River/Watts Bar Reservoir, Tennessee, USA*

1993 ◽  
Vol 28 (8-9) ◽  
pp. 65-78 ◽  
Author(s):  
K. A. Rose ◽  
A. L. Brenkert ◽  
G. A. Schohl ◽  
Y. Onishi ◽  
J. S. Hayworth ◽  
...  
Keyword(s):  
Sediment Transport ◽  
Data Collection ◽  
Multiple Model ◽  
Channel Network ◽  
Common Information ◽  
Calibration Methods ◽  
Future Data ◽  
Spatial Geometry ◽  
Clinch River ◽  
Contaminant Distribution

Three models of sediment transport and contaminant distribution (CHARIMA, HEC-6, and TODAM) are being applied to the Clinch River/Watts Bar Reservoir system as part of a CERCLA remedial investigation. Planned uses of model results are to identify high deposition areas of the river, forecast the effects of various remedial actions and climatic events on contaminant distribution, and aid in the design of future data collection efforts. The three models share some similarities but also differ in several important details. All three models are one-dimensional and include similar processes for sediment deposition and resuspension. Differences among the models include steady-state versus unsteady flow, the complexity of the channel network permitted, and the level of detail of contaminant-related fate processes represented. As part of our multiple model strategy, some aspects of the three models are configured using common information on the system (e.g., spatial geometry), while other aspects of the models, including some modeler decisions and calibration methods, are allowed to differ. Comparison of results among the three models can lead to increased confidence in predictions and in recommendations for future data collection. The general approach of using multiple models is described and preliminary results of the Clinch River/Watts Bar application are presented to illustrate the utility of using a multiple model approach for complex environmental assessments.

How can we better serve adolescent key populations? Strategies to encourage and inform future data collection, analysis, and use

2016 ◽  
Vol 12 (8) ◽  
pp. 941-953 ◽  
Author(s):  
Robyn Dayton ◽  
Paul Nary ◽  
Joy Cunningham ◽  
Kate F Plourde ◽  
Kimberly Green ◽  
...  
Keyword(s):  
Data Collection ◽  
Key Populations ◽  
Future Data

scholarly journals Pengaruh Kepemimpinan Terhadap Kinerja Anggota Reserse Polresta Pekanbaru

2017 ◽  
Vol 3 (1) ◽  
pp. 36-45
Author(s):  
Aznuriyandi Aznuriyandi
Keyword(s):  
Data Collection ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Leadership Performance ◽  
Independent Variables ◽  
Future Data ◽  
Police Detective ◽  
Reserve Unit

This research was conducted in Pekanbaru City Police Reserve Unit Jalan Ahmad Yani No. 11 Pekanbaru-Riau. The purposeof this study is KnowingLeadership Influenceon Performance Pekanbaru Police Detective Member. While the benefit soft his research is as consideration in applying the provision of leadership in improving the performance of Pekanbaru Police Detective Member on the future. Data collection techniques used in this research is to use the data collection tool in the form of questionnaires and interviews, and the sampling method used is random sampling by the formula Slovin. Where the amount of the overall population of 156 people and a sample of 88 people. Analysis of the data used is a simple linear regression analysis with SPSS vers. 17. Besides done also partial test (t test). From the results of research on the influence of leadership in improving the performance of members of disatlantas pekanbaru tcount t¬¬tabel ie greater than 8365> 1,999. Leadership means having a significant effect in improving the performance of members of Traffic pekanbaru. Large influence the dependent variable can be seen from the value of coefficient of determination (R-square), the amount is 0.449 or 44.9%, while the remaining 55.1% is influenced by other independent variables were not examined in this study.influenced by other independent variables were not examined in this study Keywords: Leadership, Performance

scholarly journals Effect of Differences in Month and Location of Measurement in Estimating Prevalence and Trend of Wasting and Stunting in India in 2005–2006 and 2015–2016

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Emily M Madan ◽  
Edward A Frongillo ◽  
Sayeed Unisa ◽  
Laxmikant Dwivedi ◽  
Robert Johnston ◽  
...  
Keyword(s):  
Data Collection ◽  
Family Health ◽  
Anthropometric Data ◽  
Child Undernutrition ◽  
Percentage Points ◽  
Marked Variability ◽  
National Family ◽  
Future Data ◽  
Negative Difference ◽  
Do So

ABSTRACT Background Child undernutrition in India remains widespread. Data from the National Family Health Survey 3 and 4 (NFHS-3 and NFHS-4) suggest that wasting prevalence has increased while stunting prevalence has declined. Objective The objectives of this study were to do the following: 1) describe wasting and stunting by month of measurement in India in children <5 y of age in NFHS-3 and NFHS-4 surveys, and 2) test whether differences in the timing of anthropometric data collection and in states between survey years introduced bias in the comparison of estimates of wasting and stunting between NFHS-3 and NFHS-4. Methods Data on wasting and stunting for 42,608 and 232,744 children aged >5 y in the NFHS-3 and NFHS-4 survey rounds were analyzed. Differences in the prevalence of wasting and stunting by month of year and by state of residence were examined descriptively. Regression analyses were conducted to test the sensitivity of the estimate of differences in wasting and stunting prevalence across survey years to both state differences and seasonality. Results Examination of the patterns of wasting and stunting by month of measurement and by state across survey years reveal marked variability. When both state and month were adjusted, regardless of the method used to account for sample size, there was a small negative difference from 2005–2006 to 2015–2016 in the prevalence of wasting (−0.8 ± 0.6 percentage points; P = 0.2) and a negative difference in stunting prevalence (−8.3 ± 0.7 percentage points; P < 0.001), indicating a small bias for wasting but not for stunting in unadjusted analyses. Conclusions State and seasonal differences may have introduced bias to the estimated difference in prevalence of wasting between the survey years but did not do so for stunting. Future data collection should be designed to maximize consistency in coverage of both time and place.

scholarly journals Automatic Collection of Tilt and Strain Data from Tabular Icebergs

1983 ◽  
Vol 4 ◽  
pp. 147-151 ◽  
Author(s):  
Monica Kristensen ◽  
Vernon A. Squire
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Data Sampling ◽  
Automatic Data ◽  
Ice Drift ◽  
Strain Data ◽  
Automatic Data Collection ◽  
Future Data ◽  
Sampling Regime ◽  
Sea Ice Drift

Drift tracks of Antarctic tabular icebergs have been studied by means of satellite-tracked buoys since the early 1970s. More recently, a growing interest in the possibility of using Antarctic icebergs to supply fresh water to arid areas has made resources available for more sophisticated experiments, and in 1978 three prototype stations were designed to measure interactions between tabular icebergs and the ocean. These stations were deployed in late 1979, and in early 1981.The purpose of this paper is, firstly, to communicate some of our experiences with an earlier type of automatic data collection platform, and, secondly, to show that the substantial amount of tilt and strain data available from this station is unsuitable for data analysis. We discuss aspects of the data collected by the first of the three automatic stations, paying particular attention to the quality of the recorded strain and tilt data. It is shown that an unfortunate choice of instrument sensitivity and range severely limits the usefulness of the collected data, and that limitations in the data sampling regime make data analysis by conventional statistical methods very difficult. Several changes are proposed for the design of future data collection platforms for tabular icebergs, and some suggestions are made about data sampling. As this paper only concerns iceberg research, we do not discuss investigations of sea-ice drift made in the same area.

scholarly journals Trial by Tabloid: Can Implicit Bias Education Reduce Pretrial Publicity Bias?

2021 ◽  
pp. 009385482110269
Author(s):  
Angela M. Jones ◽  
Kimberly Wong ◽  
Courtney N. Meyers ◽  
Christine Ruva
Keyword(s):  
Data Collection ◽  
Implicit Bias ◽  
Second Phase ◽  
Educational Video ◽  
Pretrial Publicity ◽  
Legal Decisions ◽  
Implicit Biases ◽  
Future Data ◽  
Murder Trial ◽  
Biasing Effects

The Western District of Washington recently developed an educational video to reduce jurors’ implicit biases. Little is known regarding the effectiveness of this proposed remedy to address a range of implicit biases. This study tested whether this educational video reduces pretrial publicity (PTP) bias. A total of 330 undergraduate participants were randomly assigned to read PTP or unrelated articles. An average of 9 days later, they were randomly assigned to watch the educational video prior to viewing a murder trial. Those exposed to PTP were more likely to convict and found the defendant more culpable and less credible. The educational video did not reduce PTP bias. A more tailored debiasing strategy may be needed to overcome the biasing effects of PTP. Differences in legal decisions also emerged depending on whether participants completed the second phase in-person or online, which has implications for future data collection modes.

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