Maintenance of a Genetic Data Set on Multiple Data Base and Statistical Analysis Systems

In this study, we evaluate whether the increase in the number of intergovernmental organizations (IGOs) has resulted in their increased use for foreign policy behavior by the nations of the world. This question is examined in three related ways: (1) the aggregate use of IGOs for foreign policy behavior; (2) the relationship between IGO membership and IGO use; and (3) the kinds of states that use IGOs. Our data base consists of the 35 nations in the CREON (Comparative Research on the Events of Nations) data set for the years 1959–1968.The main findings are that IGOs were employed over 60 percent of the time with little fluctuation on a year-by-year basis, that global and “high politics” IGOs were used more often than regional and “low politics” IGOs, that institutional membership and IGO use were generally inversely related, and that the attributes of the states had limited utility in accounting for the use of intergovernmental organizations. Some of the theoretical implications of these findings are then explored.

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Who Wins and Who Loses in the Provincial Courts of Appeal? A Statistical Analysis, 1920–1990

Canadian Journal of Law and Society / Revue Canadienne Droit et Société ◽

10.1017/s0829320100003641 ◽

1994 ◽

Vol 9 (2) ◽

pp. 21-40 ◽

Cited By ~ 1

Author(s):

Peter McCormick

Keyword(s):

United States ◽

Statistical Analysis ◽

Great Britain ◽

Data Base ◽

The United States ◽

Different Types ◽

Party Capability ◽

Time Periods ◽

Appeal Courts ◽

Different Levels

AbstractGiven the visibility and obvious importance of judicial power in the age of the Charter, it is important to develop the conceptual vocabulary for desribing and assessing this power. One such concept that has been applied to the study of appeal courts in the United States and Great Britain is “party capability”, a theory which suggests that different types of litigant will enjoy different levels of success as both appellant and respondent. Using a data base derived from the reported decisions of the provincial courts of appeal for the second and seventh year of each decade since the 1920s, this article applies party capability theory to the performance of the highest courts of the ten provinces; comparisons are attempted across regions and across time periods, as well as with the findings of similar studies of American and British courts.

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A Debris Flow Basin and Event Data Base Format With An Example Data Set From southwestern British Columbia

10.4095/133393 ◽

1992 ◽

Author(s):

O Hungr ◽

L E Jackson

Keyword(s):

British Columbia ◽

Debris Flow ◽

Data Base ◽

Event Data ◽

Data Set

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Statistical analysis of cytogenetic data

Faktori eksperimental'noi evolucii organizmiv ◽

10.7124/feeo.v28.1391 ◽

2021 ◽

Vol 28 ◽

pp. 146-150

Author(s):

L. A. Atramentova

Keyword(s):

Data Structure ◽

Statistical Analysis ◽

Confidence Interval ◽

Statistical Method ◽

Confidence Intervals ◽

Study Design ◽

Cytogenetic Study ◽

Data Set ◽

Statistical Errors ◽

Cytogenetic Data

Using the data obtained in a cytogenetic study as an example, we consider the typical errors that are made when performing statistical analysis. Widespread but flawed statistical analysis inevitably produces biased results and increases the likelihood of incorrect scientific conclusions. Errors occur due to not taking into account the study design and the structure of the analyzed data. The article shows how the numerical imbalance of the data set leads to a bias in the result. Using a dataset as an example, it explains how to balance the complex. It shows the advantage of presenting sample indicators with confidence intervals instead of statistical errors. Attention is drawn to the need to take into account the size of the analyzed shares when choosing a statistical method. It shows how the same data set can be analyzed in different ways depending on the purpose of the study. The algorithm of correct statistical analysis and the form of the tabular presentation of the results are described. Keywords: data structure, numerically unbalanced complex, confidence interval.

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Multiple Data Set ILI for Mechanical Damage Assessment

Volume 2: Pipeline Integrity Management ◽

10.1115/ipc2012-90244 ◽

2012 ◽

Author(s):

Chris Goller ◽

James Simek ◽

Jed Ludlow

Keyword(s):

Damage Assessment ◽

Public Awareness ◽

Mechanical Damage ◽

Data Sets ◽

Data Set ◽

Multiple Data ◽

Pipe Joints ◽

Multiple Data Sets ◽

Multiple Field ◽

Flux Leakage

The purpose of this paper is to present a non-traditional pipeline mechanical damage ranking system using multiple-data-set in-line inspection (ILI) tools. Mechanical damage continues to be a major factor in reportable incidents for hazardous liquid and gas pipelines. While several ongoing programs seek to limit damage incidents through public awareness, encroachment monitoring, and one-call systems, others have focused efforts on the quantification of mechanical damage severity through modeling, the use of ILI tools, and subsequent feature assessment at locations selected for excavation. Current generation ILI tools capable of acquiring multiple-data-sets in a single survey may provide an improved assessment of the severity of damaged zones using methods developed in earlier research programs as well as currently reported information. For magnetic flux leakage (MFL) type tools, using multiple field levels, varied field directions, and high accuracy deformation sensors enables detection and provides the data necessary for enhanced severity assessments. This paper will provide a review of multiple-data-set ILI results from several pipe joints with simulated mechanical damage locations created mimicing right-of-way encroachment events in addition to field results from ILI surveys using multiple-data-set tools.

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Women in cabinets

Party Politics ◽

10.1177/1354068817689954 ◽

2017 ◽

Vol 24 (6) ◽

pp. 663-673 ◽

Cited By ~ 3

Author(s):

Daniel Stockemer ◽

Aksel Sundström

Keyword(s):

Statistical Analysis ◽

Set Covering ◽

Industrialized Countries ◽

Left Wing ◽

Data Set ◽

Party Ideology ◽

Liberal Government ◽

Government Benefits ◽

Heads Of Government

There is still relatively little research on what factors explain the share of women in cabinets across countries and time. Focusing on party ideology, we advance this budding research. First, we examine if heads of government from left-leaning and/or liberal parties tend to select a larger proportion female cabinet members than those from conservative parties. Second, we evaluate whether a switch toward a left-leaning or liberal government benefits women’s cabinet presence. We test both propositions empirically with a data set covering mainly Western and industrialized countries after 1968. Our statistical analysis only find lukewarm support for the first proposition, that is, left-wing parties are no longer more likely to nominate women to cabinet posts than other party families, particularly liberal parties. Rather, what we do find is that a change in government, regardless of whether the new formateur is left-wing, liberal, or conservative, benefits the nomination of women to cabinet posts.

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The Effect of Precipitation on Sediment Transport at Batang Padang River, Perak

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.773-774.1276 ◽

2015 ◽

Vol 773-774 ◽

pp. 1276-1280 ◽

Cited By ~ 1

Author(s):

Nurul Farehah Amat ◽

Mohd Shalahuddin Adnan ◽

Zawani Mohd Zahudi ◽

Yuliarahmadila Erfen ◽

Noorfathiah Che Ali

Keyword(s):

Data Analysis ◽

Statistical Analysis ◽

Sediment Transport ◽

Data Base ◽

Positive Reaction ◽

Significant Relationship ◽

River Management ◽

Transport Rate ◽

Sediment Data ◽

The Relationship

Study of sediment management is important to ensure the sedimentation process that occurred can be properly managed. Sediment have a positive correlation with the precipitation where, if the amount of precipitation is high then the sediment transport rate also will be increase. The additional of sediment into the river will shallow the river and lead to flooding. Thus, this analysis is carried out on the Batang Padang River to prove that there is a positive reaction by the precipitation and the amount of sediment, and will affect river management. The precipitation and sediment data from 1982 to 1996 were retrieved from Department of Irrigation and Drainage (DID) data base. Statistical analysis using the methods of correlation was used to determine the relationship between two variable has been prescribed. Based on the analyzed data, the highest value of rainfall was 3832.5 mm in 1988, and the highest value of sediment is 15331.9 tonnes/year was accured in 1985. Grade correlation is between 0:51 to 0.94 for observations fifteen years. Where the average grade of correlation that has been analyzed is 0.7. The results of the data analysis clearly shows that precipitation has a significant relationship with sediment.

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The Systolic Blood Pressure Variation as an Indicator of Pulmonary Capillary Wedge Pressure in Ventilated Patients

Anaesthesia and Intensive Care ◽

10.1177/0310057x9302100405 ◽

1993 ◽

Vol 21 (4) ◽

pp. 405-408 ◽

Cited By ~ 24

Author(s):

P. E. Marik

Keyword(s):

Data Base ◽

Pulmonary Capillary Wedge Pressure ◽

Correlation Coefficient ◽

Systolic Pressure ◽

Pressure Variation ◽

Positive Pressure ◽

Data Set ◽

Pulmonary Capillary ◽

Wedge Pressure ◽

Ventilated Patients

Animal data have suggested that the systolic pressure variation (SPV) noted during positive pressure ventilation may be a sensitive indicator of hypovolaemia. The aim of this study was to correlate the SPV with the pulmonary capillary wedge pressure (PCWP) in a heterogeneous group of ICU patients on volume-cycled ventilation. Three hundred data sets were collected on 226 patients. The correlation coefficient between the SPV and PCWP for the first half of the data set was - 0.84 (P<0.001). The linear regression formula from this data set was: PCWP = 20- (SPV*0.7). Using this formula the predicted PCWP was then correlated with the measured PCWP using the second half of the data base. The correlation coefficient was 0.87 (P<0.001). The correlation coefficient between the SPV and PCWP for the entire data base (300 observations) was -0.86 (P<0.001). It is concluded that analysis of the arterial pressure tracing may be useful in estimating the pulmonary capillary wedge pressure in ventilated patients.

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Multivariate Statistical Analysis of Spectrum Lines and Images

Microscopy and Microanalysis ◽

10.1017/s1431927600011545 ◽

1997 ◽

Vol 3 (S2) ◽

pp. 931-932 ◽

Cited By ~ 4

Author(s):

Ian M. Anderson ◽

Jim Bentley

Keyword(s):

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Quantitative Imaging ◽

Boundary Segregation ◽

Large Data ◽

Data Sets ◽

Multivariate Statistical ◽

Data Set ◽

Recent Developments ◽

Data Files

Recent developments in instrumentation and computing power have greatly improved the potential for quantitative imaging and analysis. For example, products are now commercially available that allow the practical acquisition of spectrum images, where an EELS or EDS spectrum can be acquired from a sequence of positions on the specimen. However, such data files typically contain megabytes of information and may be difficult to manipulate and analyze conveniently or systematically. A number of techniques are being explored for the purpose of analyzing these large data sets. Multivariate statistical analysis (MSA) provides a method for analyzing the raw data set as a whole. The basis of the MSA method has been outlined by Trebbia and Bonnet.MSA has a number of strengths relative to other methods of analysis. First, it is broadly applicable to any series of spectra or images. Applications include characterization of grain boundary segregation (position-), of channeling-enhanced microanalysis (orientation-), or of beam damage (time-variation of spectra).

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