scholarly journals Identification of Cryptotermes brevis (Walker, 1853) and Kalotermes flavicollis (Fabricius, 1793) Termite Species by Detritus Analysis

Forests ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 408
Author(s):  
Ignacio Bobadilla ◽  
Roberto D. Martínez ◽  
Manuel Martínez-Ramírez ◽  
Francisco Arriaga
Keyword(s):  
Dimensional Analysis ◽  
Cross Section ◽  
Statistical Models ◽  
Hexagonal Prism ◽  
Termite Species ◽  
Multivariate Statistical ◽  
Variable Form ◽  
Hexagonal Shape ◽  
Dimensional Measurements ◽  
Drywood Termites

We carried out morphological and dimensional analysis of the detritic elements deposited in the galleries of two termite species of the Kalotermitidae family present in Spain known as drywood termites (Cryptotermes brevis (Walker, 1853) and Kalotermes flavicollis (Fabricius, 1793)). This was in order to gauge the possibility of differentiating the species only on the basis of debris observation and analysis. Ten samples from six different geographical sources were analyzed and measured. Significant statistical differences were found between these two termite species in all measured parameters, and multivariate statistical models, able to predict species on the basis of dimensional measurements, were developed, with a degree of success higher than 75%. The most important dimensional differences were length and width, as well as the variable hexagonal shape of the cross-section of the detritic elements. The detritic elements of both species had a variable form of a hexagonal prism with slightly concave faces, and with pointed or rounded ends. Those of the Cryptotermes brevis species were significantly larger, less elongated, and had a smaller concavity on the faces of the prism. Color was found to be particularly variable in both species, and was not useful. Nevertheless, the debris of Kalotermes flavicollis was markedly “dirty” (mixed with other wood remains).

Engagement Through the Diaspora Channel

2017 ◽  
Author(s):  
Michael S. Danielson
Keyword(s):  
Civil Society ◽  
Statistical Models ◽  
State Level ◽  
The State ◽  
Multivariate Statistical ◽  
Political Factors ◽  
Data Set ◽  
Level Data ◽  
Municipal Level

The first empirical task is to identify the characteristics of municipalities which US-based migrants have come together to support financially. Using a nationwide, municipal-level data set compiled by the author, the chapter estimates several multivariate statistical models to compare municipalities that did not benefit from the 3x1 Program for Migrants with those that did, and seeks to explain variation in the number and value of 3x1 projects. The analysis shows that migrants are more likely to contribute where migrant civil society has become more deeply institutionalized at the state level and in places with longer histories as migrant-sending places. Furthermore, the results suggest that political factors are at play, as projects have disproportionately benefited states and municipalities where the PAN had a stronger presence, with fewer occurring elsewhere.

DECISION MAKING BY VARIABLE CONTRIBUTION IN DISCRIMINANT, LOGIT, AND REGRESSION ANALYSES

2004 ◽  
Vol 03 (02) ◽  
pp. 265-279 ◽  
Author(s):  
STAN LIPOVETSKY ◽  
MICHAEL CONKLIN
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Statistical Models ◽  
Regression Analyses ◽  
Discriminant Functions ◽  
Multivariate Statistical ◽  
Linear Discriminant ◽  
Variable Contribution ◽  
Linear Aggregate

Comparative contribution of predictors in multivariate statistical models is widely used for decision making on the importance of the variables for the aims of analysis and prediction. However, the analysis can be made difficult because of the predictors' multicollinearity that distorts estimates for coefficients in the linear aggregate. To solve the problem of the robust evaluation of the predictors' contribution, we apply the Shapley Value regression analysis that provides consistent results in the presence of multicollinearity both for regression and discriminant functions. We also show how the linear discriminant function can be constructed as a multiple regression, and how the logistic regression can be approximated by linear regression that helps to obtain the variables contribution in the linear aggregate.

Measuring Threat and Violence

2018 ◽  
pp. 43-56
Author(s):  
Jeffrey S. Kopstein ◽  
Jason Wittenberg
Keyword(s):  
Statistical Models ◽  
Census Data ◽  
Location Information ◽  
Ecological Inference ◽  
Multivariate Statistical ◽  
Original Dataset ◽  
Geographical Unit ◽  
Nationalist Parties ◽  
Electoral Data

This chapter describes our data and methods. Our analysis is based on an original dataset of census returns, electoral results, and pogrom location information. We gathered these data at the lowest geographical unit for which they could be merged, yielding observations for over 2,000 localities. We use census data on religion and electoral data on support for Jewish and non-Jewish nationalist parties to measure the degree of perceived political threat prior to the outbreak of war. We establish the characteristics of those localities where pogroms occurred using a variety of methods, including multivariate statistical models and ecological inference.

Multivariate statistical models for disruption prediction at ASDEX Upgrade

2013 ◽  
Vol 88 (6-8) ◽  
pp. 1297-1301 ◽  
Author(s):  
R. Aledda ◽  
B. Cannas ◽  
A. Fanni ◽  
G. Sias ◽  
G. Pautasso
Keyword(s):  
Statistical Models ◽  
Multivariate Statistical

GROWTH OF ZnO NANOSTRUCTURES ON ZINC AND Pt SUBSTRATES

2007 ◽  
Vol 06 (01) ◽  
pp. 23-30 ◽  
Author(s):  
N. TABET ◽  
M. FAIZ ◽  
A. AL-OTEIBI
Keyword(s):  
Melting Point ◽  
Cross Section ◽  
Vapor Deposition ◽  
Type Structure ◽  
Metallic Zinc ◽  
Zno Nanostructures ◽  
High Quality ◽  
Hexagonal Shape ◽  
Dry Oxidation ◽  
Uniform Cross Section

Nanocrystalline ZnO of various shapes was obtained without the use of catalysts by dry oxidation of metallic zinc. Oxidation treatments performed below the melting point of Zn (T m = 419°C) led to the formation of flakes-type structure. At 500°C, long nanofibers of circular and uniform cross section covering the surface of the oxidized samples were observed. At 600°C, large density of cone-shape needles covered the oxidized surface. High quality nanocrystals of hexagonal shape were obtained by vapor deposition on Pt substrate. XRD results showed that the lattice parameters of the needles are 1% smaller than those of microcrystalline ZnO .

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