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Systat version 10

Manufactured by Grafiti LLC
Sourced in United States

SYSTAT version 10.0 is a comprehensive statistical software package that provides a wide range of data analysis and visualization tools. It is designed to assist researchers, analysts, and professionals in the fields of science, business, and academia with their data processing and statistical analysis needs.

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Lab products found in correlation

4 protocols using systat version 10

1

SCFA Extraction from Fecal Samples

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The extraction of SCFAs was performed following the procedure reported in the article of Cresci et al. [19] with some modifications. Briefly, 250 mg of faecal sample was weighed in a 2 ml vial, 250 µl of aqueous sulfuric acid (50 % w/w) were added and the suspension was shaken by vortex for 2 minutes in order to homogenize it. Then a solution of isohexanoic acid in ethyl ether (50 mg l -1 , 500 µl) was added to extract SCFAs by means of a vortex (2 min).
After centrifugation (5 min, 5000 rpm), the upper ethereal solution was injected directly into a gas chromatograph equipped with a flame ionization detector (GC-FID). The GC conditions used are reported in the article by Fiorini et al. [20] .
Results are expressed as means ± S.E.M. All data were submitted to one-way analysis of variance (ANOVA) in order to assess significant differences (p< 0.05) between the contents of individual results in the different rats groups, using the Paleontological Statistics Software Package (PAST) [21] . For behavioural experiments, data were analyzed by one-way ANOVA, using SYSTAT version 10.0 (Systat Software, San Jose, CA, USA).
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2

Experimental Food Intake Modulation

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In experiment 1: main effects on palatable food intake of the estrus phase (estrus, non-estrus), of the experimental procedure (history of food restriction + frustration stress: no, yes) or the interaction between the two terms were evaluated with a two-way (estrous cycle x experimental procedure) ANOVA. Post hoc analysis, when necessary, were performed using Bonferroni tests to follow-up on significant interaction or main effects using Systat version 10.0 (Systat Software Inc.).
In experiment 2, when only two means were to be compared, the data were expressed using the average levels of expression of non-food restricted, non-stressed control animals at a matching estrus phase as calibrator and analyzed by an independent Student's t-test using SPSS for Windows® v. 22 (SPSS Inc., Chicago, USA). Main effects were analyzed via two-way ANOVA using as calibrator the average levels of expression of not food restricted, not stressed, non-estrus group. Data were presented as mean ± standard error (S.E.M.) and p < 0.05 was considered statistically significant.
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3

Lipid Profiling by Statistical Analysis

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All of the experiments were performed in two or more replicates and are represented as the mean ± standard error of the mean (SEM). Statistically significant lipid changes were highlighted by pattern recognition tools, such as principal component (PCA) and discriminant analysis, using the software SYSTAT, version 10 (Systat Software Inc., Richmond, CA, USA). The processing of the datasets for the PCA was done as previously described [11] (link). Any statistically significant differences were identified using Student's t-test. A significance level of 0.05 was employed.
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4

Statistical Analysis of Biological Data

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Data, if not differently specified, were analyzed through one-way analysis of the variance (ANOVA) using “Systat Version 10” (Systat Software, San Jose, CA). Tukey–Kramer’s post-hoc test (p ≤ 0.05) was used to analyze the means. For each experiment at least twenty biological replicates were used. When necessary, L1-norm exclusion test was performed with the aim to remove outliers from the data set. In this case, data of at least sixteen biological replicates were used for further statistical analysis.
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