La variation des caractères épidermiques foliaires chez le Festuca rubra sensu lato (Poaceae) dans l'est du Canada

1996 ◽  
Vol 74 (9) ◽  
pp. 1425-1438 ◽  
Author(s):  
Martin Dubé ◽  
Pierre Morisset
Keyword(s):  
Discriminant Analysis ◽  
Festuca Rubra ◽  
Eastern Canada ◽  
Discriminant Analyses

The variation structure of epidermal characters in Festuca rubra in Eastern Canada is compared with the structure produced by morphology and anatomy. This study is based on 94 specimens including native and introduced variants as well as hybrids. The characters best separating these variants are selected by a series of discriminant analyses. Epidermis then appears as useful as anatomy and morphology in establishing a taxonomical system in this aggregate of taxa. Keywords: Festuca rubra, epidermis, anatomy, morphology, discriminant analysis.

scholarly journals Detecting Bacterial Biofilms Using Fluorescence Hyperspectral Imaging and Various Discriminant Analyses

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2213
Author(s):  
Ahyeong Lee ◽  
Saetbyeol Park ◽  
Jinyoung Yoo ◽  
Jungsook Kang ◽  
Jongguk Lim ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Hyperspectral Imaging ◽  
Food Processing ◽  
Nearest Neighbor ◽  
Hyperspectral Image ◽  
Uv Light ◽  
Hyperspectral Images ◽  
K Nearest Neighbor ◽  
E Coli ◽  
Discriminant Analyses

Biofilms formed on the surface of agro-food processing facilities can cause food poisoning by providing an environment in which bacteria can be cultured. Therefore, hygiene management through initial detection is important. This study aimed to assess the feasibility of detecting Escherichia coli (E. coli) and Salmonella typhimurium (S. typhimurium) on the surface of food processing facilities by using fluorescence hyperspectral imaging. E. coli and S. typhimurium were cultured on high-density polyethylene and stainless steel coupons, which are the main materials used in food processing facilities. We obtained fluorescence hyperspectral images for the range of 420–730 nm by emitting UV light from a 365 nm UV light source. The images were used to perform discriminant analyses (linear discriminant analysis, k-nearest neighbor analysis, and partial-least squares discriminant analysis) to identify and classify coupons on which bacteria could be cultured. The discriminant performances of specificity and sensitivity for E. coli (1–4 log CFU·cm−2) and S. typhimurium (1–6 log CFU·cm−2) were over 90% for most machine learning models used, and the highest performances were generally obtained from the k-nearest neighbor (k-NN) model. The application of the learning model to the hyperspectral image confirmed that the biofilm detection was well performed. This result indicates the possibility of rapidly inspecting biofilms using fluorescence hyperspectral images.

scholarly journals Evaluation of crisphead lettuce cultivars in different cover types by manova and discriminant analysis

2013 ◽  
Vol 31 (3) ◽  
pp. 439-444
Author(s):  
Izabela Regina C de Oliveira ◽  
Marcelo T Rezende ◽  
Carlos Tadeu dos S Dias ◽  
Daniela de S Gomes ◽  
Élberis P Botrel ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Cover Crops ◽  
Environmental Sustainability ◽  
Cover Crop ◽  
Univariate Analysis ◽  
Polyethylene Film ◽  
Standard Errors ◽  
Multivariate Techniques ◽  
Discriminant Analyses ◽  
Plot Design

In many agricultural experiments the variables are biologically correlated and it is inappropriate to study them only under univariate analysis. Therefore, we evaluated commercial characteristics of crisphead lettuce cultivars and covers under a multivariate approach, using canonical discriminant analysis. We used a split plot design and we tested the cover crop, cultivar and interaction effects by using MANOVA (α= 5%). Means and its standard errors were obtained for average total weight, weight of the head, volume and density of plants. Canonical discriminant analyses were performed using PROC CANDISC procedure in SAS (SAS Institute, 2008) system. Canonical plots were obtained using JMP 9.0 (SAS Institute, 2010) linked to SAS database. With these plots it was possible to note the differences among factors levels. When polyethylene film was used as cover the plants had inferior commercial characteristics than plants in which cover crops were used. Thus, the cover with polyethylene film can be discouraged in the cultivation of crisphead lettuce, promoting environmental sustainability. We suggest these multivariate techniques in horticulture studies.

scholarly journals Cultivar Classification of Single Sweet Corn Seed Using Fourier Transform Near-Infrared Spectroscopy Combined with Discriminant Analysis

2019 ◽  
Vol 9 (8) ◽  
pp. 1530 ◽  
Author(s):  
Guangjun Qiu ◽  
Enli Lü ◽  
Ning Wang ◽  
Huazhong Lu ◽  
Feiren Wang ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Discriminant Analysis ◽  
Near Infrared ◽  
Seed Quality ◽  
Sweet Corn ◽  
Full Range ◽  
Classification Model ◽  
Support Vector ◽  
Corn Seed ◽  
Discriminant Analyses

Seed purity is a key indicator of crop seed quality. The conventional methods for cultivar identification are time-consuming, expensive, and destructive. Fourier transform near-infrared (FT-NIR) spectroscopy combined with discriminant analyses, was studied as a rapid and nondestructive technique to classify the cultivars of sweet corn seeds. Spectra with a range of 1000–2500 nm collected from 760 seeds of two cultivars were used for the discriminant analyses. Thereafter, 126 feature wavelengths were identified from 1557 wavelengths using a genetic algorithm (GA) to build simplified classification models. Four classification algorithms, namely K-nearest neighbor (KNN), soft independent method of class analogy (SIMCA), partial least-squares discriminant analysis (PLS-DA), and support vector machine discriminant analysis (SVM-DA) were tested on full-range wavelengths and feature wavelengths, respectively. With the full-range wavelengths, all four algorithms achieved a high classification accuracy range from 97.56% to 99.59%, and the SVM-DA worked better than other models. From the feature wavelengths, no significant decline in accuracies was observed in most of the models and a high accuracy of 99.19% was still obtained by the PLS-DA model. This study demonstrated that using the FT-NIR technique with discriminant analyses could be a feasible way to classify sweet corn seed cultivars and the proper classification model could be embedded in seed sorting machinery to select high-purity seeds.

Assessing the Validity of the Semantic Differential Portion of the Apperceptive Personality Test

2001 ◽  
Vol 88 (3_suppl) ◽  
pp. 1235-1244 ◽  
Author(s):  
David J. Palmiter ◽  
David E. Silber
Keyword(s):  
Discriminant Analysis ◽  
Social Desirability ◽  
Semantic Differential ◽  
Personality Test ◽  
Ideal Self ◽  
Social Desirability Scale ◽  
Strong Negative Correlation ◽  
Discriminant Analyses ◽  
The Difference ◽  
The Ideal

This study investigated the validity of the semantic differential portion of the Apperceptive Personality Test with 225 undergraduates who completed the Marlowe-Crowne Social Desirability scale, actual-self and ideal-self semantic differential scales (e.g., Actual-self and Ideal-self), and either the Apperceptive Personality Test or a modified version. A projected-self score was calculated using the semantic differential ratings of the hero(ine) character on the test, e.g., Projected-self. A strong negative correlation indicated that, as the difference between the Ideal-self and Actual-self decreased, the difference between the Actual-self and Projected-self increased. Discriminant analyses indicated that highly guarded participants, e.g., high Social Desirability scores, showed more congruency between Ideal-self and Actual-self and less congruency between Actual-self ratings and Projected-self on the APT than did less guarded participants. When the difference scores incorporated only those semantic differential items that loaded on an Evaluative factor, the same result of discriminant analysis was found when participants who completed the modified version were included. These findings support the validity of the test's semantic differential items and suggest that guardedness tends to promote more similarity between Actual-self and Ideal-self and less similarity between Actual-self and Projected-self.

The discriminability of nearly merged sounds

1995 ◽  
Vol 7 (1) ◽  
pp. 35-78 ◽  
Author(s):  
Alice Faber ◽  
Marianna Di Paolo
Keyword(s):  
Discriminant Analysis ◽  
Statistical Evaluation ◽  
Acoustic Measurements ◽  
Spectral Slope ◽  
Powerful Technique ◽  
Minimal Pairs ◽  
Discriminant Analyses ◽  
Multivariate Discriminant ◽  
Reliable Basis

ABSTRACTIn a near-merger, speakers produce two contrasting words differently, without reliably being able to discern the contrast in their own speech or in the speech of others. Acoustic measurements typically reveal small differences between the elements of near-merged minimal pairs along several acoustic dimensions. We argue that statistical evaluation of the potential distinctiveness of these near-merged elements must simultaneously take into account all of these dimensions. For this reason, discriminant analysis is used to assess the differences between near-merged/il–Il/, /el–εl/, and /ul–υl/ for five Utah speakers. In contrast with independent univatiate analyses of variance of F1, F2,f0, and spectral slope, the multivariate discriminant analyses suggest that all three contrasts are preserved by all five speakers. However, hompohones likeheelandhealare not distinguished by the discriminant analyses. Discriminant analysis is thus a powerful technique for assessing whether a reliable basis exists for the claim that two potentially contrastive items are in fact distinctive.

scholarly journals Discriminant analysis of laboratory tests in patients admitted to a coronary care unit.

1988 ◽  
Vol 34 (6) ◽  
pp. 1099-1102 ◽  
Author(s):  
D A Lacher ◽  
M J Paolino
Keyword(s):  
Myocardial Infarction ◽  
Discriminant Analysis ◽  
Classification Accuracy ◽  
Coronary Care Unit ◽  
Test Results ◽  
Accuracy And Precision ◽  
Laboratory Test Results ◽  
Serum Aspartate Aminotransferase ◽  
Discriminant Analyses ◽  
Coronary Care

Abstract Discriminant analysis of chemistry and hematology laboratory test results was used to classify patients with and without myocardial infarction in a coronary care unit. We studied 64 patients with myocardial infarction and 70 patients without infarction, using logistic regression, linear and quadratic discriminant analyses on untransformed and logarithmically transformed data. Serum aspartate aminotransferase (AST, EC 2.6.1.1), the best single discriminating test, classified 73% of patients correctly. Quadratic discriminant analysis on log-transformed data had a 98.5% classification accuracy when all variables were used in the discriminant function and had the highest classification accuracy and precision. All of the discriminant methods had acceptable cross-validation.

SPECIES SEPARATION IN THE DECLARATA GROUP OF THE GENUS EUXOA, A COMPUTER ANALYSIS BASED ON STRUCTURAL CHARACTERS

1973 ◽  
Vol 105 (3) ◽  
pp. 501-508 ◽  
Author(s):  
D. F. Hardwick ◽  
L. P. Lefkovitch
Keyword(s):  
Discriminant Analysis ◽  
Computer Analysis ◽  
Principal Components ◽  
Species Separation ◽  
Discriminant Analyses

AbstractA sample of 205 specimens of the declarata group of the genus Euxoa was subjected to clustering, principal components, and discriminant analyses. The analyses were based largely on male genitalic characters. Only the discriminant analysis was successful in segregating the three nominal components of the group.

scholarly journals Business management and methods of predictive financial analysis companies

2021 ◽  
Vol 5 (S4) ◽  
Author(s):  
Marián Smorada ◽  
Andrea Lukáčková ◽  
Zuzana Hajduová ◽  
Ľudovít Šrenkel ◽  
Ján Havier
Keyword(s):  
Discriminant Analysis ◽  
Financial Analysis ◽  
Original Research ◽  
One Dimensional ◽  
Analysis Methods ◽  
Economic Practice ◽  
Future Situation ◽  
Discriminant Analyses ◽  
Business Entities ◽  
Research Show

The focus of this presented work is the application of one-dimensional discriminant analysis in specific conditions of economic practice. The research sample of the enterprises has shown, that even these methods can better warn against nearing bankruptcy by predicting whether business will or will not be sustainable. Generally, these discriminant analyses use the financial ratios methods. The future situation of an enterprise can be predicted, among other things, by means of one-dimensional and multidimensional discriminant analysis methods, which are dealt with by several authors. Given the different approaches of authors, one-dimensional discriminant analysis methods that are "older" can be assumed to have a different reliability than multidimensional discriminant analysis methods. The assumptions of our research were verified in a group consisting of prosperous and non-prosperous business entities. The results of the original research show that one-dimensional discriminatory methods had a higher reliability than the multidimensional ones on the sample of enterprises surveyed. At the same time, it has not been established that a 100% reliable method will be found, but it is good to know the assumptions on which these existing methods work and use a combination of multiple methods.

L'emploi des caractères épidermiques dans l'étude taxonomique du Festuca rubra lato sensu (Poaceae)

1996 ◽  
Vol 74 (3) ◽  
pp. 469-485 ◽  
Author(s):  
Martin Dubé ◽  
Pierre Morisset
Keyword(s):  
Morphological Variation ◽  
Festuca Rubra ◽  
Leaf Epidermis ◽  
Eastern Canada ◽  
Anatomical Characters

The leaf epidermis from a collection of 33 specimens encompassing most of the morphological variation of Festuca rubra in Eastern Canada and including two cytotypes (2n = 42 and 2n = 56) is described with 16 characters. The leaf epidermal composition differs markedly between culms and vegetative shoots. Many epidermal characters, particularly those from the vegetative shoots, are among the best ones for distinguishing between the two cytotypes. Parallel analyses using nine anatomical characters show the greater taxonomical potential of epidermis. Keywords: Festuca rubra, leaf, epidermis, anatomy, cytotypes.

Nouvelles observations cytologiques chez Festuca rubra sensu lato (Poaceae) dans l'Est du Canada

1995 ◽  
Vol 73 (8) ◽  
pp. 1289-1294 ◽  
Author(s):  
Martin Dubé ◽  
Pierre Morisset
Keyword(s):  
Chromosome Number ◽  
Key Words ◽  
Natural Habitat ◽  
Festuca Rubra ◽  
Eastern Canada ◽  
Natural Habitats

Sixty-one chromosome number determinations in Festuca rubra L. from eastern Canada show that hexaploids plants (n = 21) are found in both natural habitats and ruderal places, octoploids rhizomatous plants (n = 28) are mostly found in ruderal places, but also in disturbed natural habitats. Morever, one aneuploid (2n = ca. 48) is found from a natural habitat and intercytotype hybrids are found in ruderal places or disturbed natural habitats. Key words: Festuca rubra, cytotypes, hybrids.

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