933 resultados para Pairwise correlation


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The objective of the research was to relate the physical and chemical characteristics of soymilk plain beverages to its sensory acceptance. Five commercial products and a new product formulated based on the less accepted sample were used. The overall acceptance was evaluated by 102 assessors using a 10-point hybrid hedonic scale. The hedonic scores ranged from 3.8 (sample E) to 7.0 (A). Most assessors (55%) preferred sample A, which was viscous (26.6 cp), dark (L* = 77.7), and slightly acidic (pH = 6.6). Sample C, which had lower solid content and higher acidity, was preferred by 29% of the assessors. These two beverages showed the greatest commercial potential of the products analyzed. The least-accepted sample (E), preferred by 8% of the assessors, had a lighter color (L* = 96.8), lower viscosity (13.5 cp), higher lipid content (2.2 g/100 g), and less protein (1.68 g/100 g) than the other products evaluated. A reformulation of the least preferred product (E) with the addition of maltodextrin and also vanilla and milk flavors increased its acceptance, yielding an average score of 7.2. Overall, it was observed that a soymilk plain beverage with higher viscosity, darker color, and higher protein content best meets consumer expectations.

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The contents of total phenolic compounds (TPC), total flavonoids (TF), and ascorbic acid (AA) of 18 frozen fruit pulps and their scavenging capacities against peroxyl radical (ROO•), hydrogen peroxide (H2O2), and hydroxyl radical (•OH) were determined. Principal Component Analysis (PCA) showed that TPC (total phenolic compounds) and AA (ascorbic acid) presented positive correlation with the scavenging capacity against ROO•, and TF (total flavonoids) showed positive correlation with the scavenging capacity against •OH and ROO• However, the scavenging capacity against H2O2 presented low correlation with TF (total flavonoids), TPC (total phenolic compounds), and AA (ascorbic acid). The Hierarchical Cluster Analysis (HCA) allowed the classification of the fruit pulps into three groups: one group was formed by the açai pulp with high TF, total flavonoids, content (134.02 mg CE/100 g pulp) and the highest scavenging capacity against ROO•, •OH and H2O2; the second group was formed by the acerola pulp with high TPC, total phenolic compounds, (658.40 mg GAE/100 g pulp) and AA , ascorbic acid, (506.27 mg/100 g pulp) contents; and the third group was formed by pineapple, cacao, caja, cashew-apple, coconut, cupuaçu, guava, orange, lemon, mango, passion fruit, watermelon, pitanga, tamarind, tangerine, and umbu pulps, which could not be separated considering only the contents of bioactive compounds and the scavenging properties.

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This work investigates theoretical properties of symmetric and anti-symmetric kernels. First chapters give an overview of the theory of kernels used in supervised machine learning. Central focus is on the regularized least squares algorithm, which is motivated as a problem of function reconstruction through an abstract inverse problem. Brief review of reproducing kernel Hilbert spaces shows how kernels define an implicit hypothesis space with multiple equivalent characterizations and how this space may be modified by incorporating prior knowledge. Mathematical results of the abstract inverse problem, in particular spectral properties, pseudoinverse and regularization are recollected and then specialized to kernels. Symmetric and anti-symmetric kernels are applied in relation learning problems which incorporate prior knowledge that the relation is symmetric or anti-symmetric, respectively. Theoretical properties of these kernels are proved in a draft this thesis is based on and comprehensively referenced here. These proofs show that these kernels can be guaranteed to learn only symmetric or anti-symmetric relations, and they can learn any relations relative to the original kernel modified to learn only symmetric or anti-symmetric parts. Further results prove spectral properties of these kernels, central result being a simple inequality for the the trace of the estimator, also called the effective dimension. This quantity is used in learning bounds to guarantee smaller variance.

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Taloussuhdanteiden yhteisvaihtelun tutkimus on eräs taloustieteiden vanhimmista tutkimusaloista. Finanssikriisi ja euroalueen kohtaamat talousvaikeudet ovat kuitenkin nostaneet aiheen jälleen hyvin ajankohtaiseksi. Kuluneiden kahdenkymmenen vuoden aikana tutkimusalueesta on muodostunut erittäin laaja lukuisine näkökulmineen ja debatteineen. Tutkielman aiheena on Suomen taloussuhdanteiden kansainvälinen yhteisvaihtelu valittujen vertailumaiden kanssa. Vertailumaat ovat Ruotsi, Norja, Tanska, Saksa, Ranska, Iso-Britannia ja Yhdysvallat. Tutkielmaan valitut taloussuhdannetta kuvaavat muuttujat ovat reaalinen bruttokansantuote, yksityinen kokonaiskulutus ja teollisuustuotantoindeksi. Aineisto on kerätty Lappeenrannan tiedekirjaston Nelli-portaalin OECD iLibrary-tietokannasta ja se kattaa aikajakson 1960 Q1- 2014 Q4. Maakohtainen taloussuhdanne operationalisoidaan laskemalla ensimmäinen logaritminen differenssi, joka edustaa perinteistä reaalisuhdanneteoreettisen koulukunnan näkemystä taloussuhdanteesta. Tutkielman näkökulmaksi valitaan yhden maan näkökulma, joka on hieman harvinaisempi näkökulma verrattuna laajempiin alueellisiin näkökulmiin. Tutkimusmenetelminä käytetään Pearsonin korrelaatiokerrointa, Engle-Granger- sekä Johansenin yhteisintegroituvuustestejä ja VAR-GARCH-BEKK –mallilla laskettua dynaamista korrelaatiota, jotka lasketaan Suomen ja vertailumaiden välille maapareittain. Tuloksia tulkitaan suomalaisen vientiä vertailumaihin suunnittelevan yrityksen näkökulmasta. Tutkielman tulosten perusteella Engle-Grangerin menetelmällä laskettu samanaikainen yhteisintegroituvuus Suomen ja vertailumaiden välillä on epätodennäköistä. Kun yhteisintegroituvuuden annetaan riippua myös viiveistä, saadaan Johansenin menetelmällä yhteisintegroituvuus Suomen ja Yhdysvaltojen välille reaalisessa bruttokansantuotteessa, Suomen ja Saksan, Suomen ja Ranskan sekä Suomen ja Yhdysvaltojen välille yksityisessä kokonaiskulutuksessa sekä Suomen ja Norjan välille teollisuustuotantoindeksissä. Tulosten tulkintaa vaikeuttavat niiden malliriippuvuus ja informaatiokriteerien toisistaan poikkeavat mallisuositukset, joten yhteisintegroituvuus on mahdollinen myös muiden maaparien kohdalla. Dynaamisten korrelaatiokuvaajien perusteella maaparien välisen yhteisvaihtelun voimakkuus muuttuu ajan mukana. Finanssikriisin aikana kokonaistuotannossa on havaittavissa korkeampi korrelaatio, mutta korrelaatio palaa sen jälkeen perustasolleen. Kokonaiskulutuksen korrelaatio on kokonaistuotantoa alhaisempi ja pitemmissä aikajaksoissa vaihtelevaa.

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The cr ystal structure of the compound 2-benzoylethylidene-3-(2,4- dibromophenyl)-2,3-dihydro-5-phenyl-l,3,4-thiadiazole* C23H16Br2NZOS (BRMEO) has been determined by using three dimensiona l x-ray diffraction data. The crys tal form is monoclinic, space group P21/c, a = 17.492(4), o -.t' 0 R 0 b =: 16.979(1), c = 14.962(1) A, "X. =o= 90 ',= 106.46(1) , z = 8, graphite-monochromatized Mo~ rad iation, Jl= 0.710J3~, D = 1.62g/cc and o D = 1.65g/cc. The data were col lected on ~ Nonius CAD-4 c diffractometer. The following atoms were made anisotropic: Br, S, N, 0, C7, and C14-C16 for each i ndependent molecu le ; the rest were left isotropic. For 3112 independent refl ec tions with F > 6G\F), R == 0.057. The compound has two independent molecules within the asymmetric unit. Two different conformers were observed which pack well together. /l The S---O interaction distances of 2.493(6) and 2 . 478(7) A were observed for molecules A and B respectively. These values are consistent with earlier findings for 2-benzoylmethylene-3-(2,4-dibromophenyl)- ~~ 2,3-dihydro-5-phenyl-l,3,4-thiadiazole C22H14Br2N20S (BRPHO) and 2-benzoylpropylidene-3-(2,4-dibromophenyl)-2,3-dihydroiii ,'r 5-phenyl-l,3,4-thiadiazole C24H18Br2N20S (BRPETO ) where S---O distances are l ess than the van der Waals (3.251\) but greater than those expected for () a single bond (1.50A). From the results and the literature it appears obvious that the energy/reaction coordinate pathway has a minimum between the end structures (the mono- and bicyclic compounds). * See reference (21) for nomenclature.

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Cellular stress resistance has been shown to be highly correlated with longevity. However, the mechanisms conferring this stress resistance have yet to be identified. Maintenance of protein homeostasis is a critical component of cellular maintenance and stress resistance. Superior protein homeostasis capacities may thus underlie the greater stress resistance observed in longer-lived animals; however, little vertebrate data have been provided supporting this idea. I used two different experimental approaches to test the associations of protein homeostasis capacities with stress resistance and lifespan: 1) a comparison between a large set of vertebrate species with varying body masses and lifespans and 2) a comparison of long-lived Snell dwarf mice and their normal littermates. Protein homeostasis mechanisms including protein degradation activity, protein repair activity and molecular chaperone levels were examined. These measurements were performed in liver, heart and brain tissues, and isolated myoblasts. My results indicated that neither protein degradation nor protein repair were upregulated in association with enhanced stress resistance and longevity in an inter-species and intraspecies context. Furthermore, my results did show that there is a positive correlation between molecular chaperone levels and maximum lifespan (MLSP). However, there was no elevation of chaperone levels in the long-lived Snell dwarf mouse, indicating there are other mechanisms linked to their increased lifespan. Therefore, these results suggest that molecular chaperones are involved in increasing animal lifespan in an interspecies context.

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This research evaluated (a) the correlation between math anxiety, math attitudes, and achievement in math and (b) comparison among these variables in terms of gender among grade 9 students in a high school located in southern Ontario. Data were compiled from participant responses to the Attitudes Toward Math Inventory (ATMI) and the Math Anxiety Rating Scale for Adolescents (MARS-A), and achievement data were gathered from participants’ grade 9 academic math course marks and the EQAO Grade 9 Assessment of Mathematics. Nonparametric tests were conducted to determine whether there were relationships between the variables and to explore whether gender differences in anxiety, attitudes, and achievement existed for this sample. Results indicated that math anxiety was not related to math achievement but was a strong correlate of attitudes toward math. A strong positive relationship was found between math attitudes and achievement in math. Specifically, self-confidence in math, enjoyment of math, value of math, and motivation were all positive correlates of achievement in math. Also, results for gender comparisons were nonsignificant, indicating that gender differences in math anxiety, math attitudes, and math achievement scores were not prevalent in this group of grade 9 students. Therefore, attitudes toward math were considered to be a stronger predictor of performance than math anxiety or gender for this group.

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Modern business cycle theory involves developing models that explain stylized facts. For this strategy to be successful, these facts should be well established. In this paper, we focus on the stylized facts of international business cycles. We use the generalized method of moments and quarterly data from nineteen industrialized countries to estimate pairwise cross-country and within-country correlations of macroeconomic aggregates. We calculate standard errors of the statistics for our unique panel of data and test hypotheses about the relative sizes of these correlations. We find a lower cross-country correlation of all aggregates and especially of consumption than in previous studies. The cross-country correlations of consumption, output and Solow residuals are not significantly different from one another over the whole sample, but there are significant differences in the post-1973 subsample.

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This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply the technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] to obtain exact tests based on standard LR and LM zero correlation tests. We also suggest a MC quasi-LR (QLR) test based on feasible generalized least squares (FGLS). We show that the latter statistics are pivotal under the null, which provides the justification for applying MC tests. Furthermore, we extend the exact independence test proposed by Harvey and Phillips (1982) to the multi-equation framework. Specifically, we introduce several induced tests based on a set of simultaneous Harvey/Phillips-type tests and suggest a simulation-based solution to the associated combination problem. The properties of the proposed tests are studied in a Monte Carlo experiment which shows that standard asymptotic tests exhibit important size distortions, while MC tests achieve complete size control and display good power. Moreover, MC-QLR tests performed best in terms of power, a result of interest from the point of view of simulation-based tests. The power of the MC induced tests improves appreciably in comparison to standard Bonferroni tests and, in certain cases, outperforms the likelihood-based MC tests. The tests are applied to data used by Fischer (1993) to analyze the macroeconomic determinants of growth.

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Several Authors Have Discussed Recently the Limited Dependent Variable Regression Model with Serial Correlation Between Residuals. the Pseudo-Maximum Likelihood Estimators Obtained by Ignoring Serial Correlation Altogether, Have Been Shown to Be Consistent. We Present Alternative Pseudo-Maximum Likelihood Estimators Which Are Obtained by Ignoring Serial Correlation Only Selectively. Monte Carlo Experiments on a Model with First Order Serial Correlation Suggest That Our Alternative Estimators Have Substantially Lower Mean-Squared Errors in Medium Size and Small Samples, Especially When the Serial Correlation Coefficient Is High. the Same Experiments Also Suggest That the True Level of the Confidence Intervals Established with Our Estimators by Assuming Asymptotic Normality, Is Somewhat Lower Than the Intended Level. Although the Paper Focuses on Models with Only First Order Serial Correlation, the Generalization of the Proposed Approach to Serial Correlation of Higher Order Is Also Discussed Briefly.

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We consider the problem of testing whether the observations X1, ..., Xn of a time series are independent with unspecified (possibly nonidentical) distributions symmetric about a common known median. Various bounds on the distributions of serial correlation coefficients are proposed: exponential bounds, Eaton-type bounds, Chebyshev bounds and Berry-Esséen-Zolotarev bounds. The bounds are exact in finite samples, distribution-free and easy to compute. The performance of the bounds is evaluated and compared with traditional serial dependence tests in a simulation experiment. The procedures proposed are applied to U.S. data on interest rates (commercial paper rate).

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Affiliation: Département de Biochimie, Faculté de médecine, Université de Montréal

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L’objectif de la présente étude était d’évaluer un test d’estérase leucocytaire (LE) pour le diagnostic de l’endométrite subclinique chez les vaches Holstein en période postpartum. Les tests effectués à partir d’échantillons provenant soit de l’endomètre (UtLE) ou du col utérin (CxLE) ont été comparés à la cytologie endométriale (CE). Par ailleurs, deux méthodes d’évaluation des lames ont été comparées. Deux cent quatre vingt-cinq vaches Holstein de 5 troupeaux laitiers commerciaux ont été évaluées entre 21 et 47 jours en lait (JEL). Soixante sept vaches ont été diagnostiquées avec une endométrite clinique suite à un examen transrectal et vaginoscopique et ont été exclues de l’étude. Deux cent dix-huit vaches ont eu des prélèvements pour la CE et le test LE. La fonction ovarienne a été déterminée à la palpation transrectale. La banque de données utilisée pour chacune des vaches a été effectuée à partir du logiciel DSA (Dossier de Santé Animale) laitier. Le pourcentage de neutrophiles était significativement corrélé avec les scores de LE utérin et cervical. L’activité de CxLE et UtLE diminuait significativement avec les JEL, mais n’était pas associée au risque de gestation à 90 JEL (n= 186). Le pourcentage de neutrophiles mesuré à la CE entre 32 et 47 JEL était associé significativement au risque de gestation à 90 JEL (n=94, P=0.04). Pour la même période, selon une analyse de survie, les vaches avec >2,6% de neutrophiles à la CE étaient définies comme étant atteintes d’une endométrite subclinique avec une prévalence de 56%. Les résultats indiquent que le test d’estérase utérin ou cervical a une bonne concordance avec le pourcentage de neutrophiles à la CE. Une endométrite subclinique diagnostiquée par cytologie endometriale entre 32 et 47 JEL est associée à une réduction du risque de gestation au premier service.