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Spss 17.0 program

Manufactured by IBM
Sourced in United States

SPSS 17.0 is a statistical software package developed by IBM. It is designed to analyze and manage data, perform advanced statistical analyses, and generate reports and visualizations. The software provides a comprehensive set of tools for data manipulation, regression analysis, factor analysis, and other statistical techniques.

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14 protocols using spss 17.0 program

1

Quantifying Tau Pathology in PSP Variants

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The Mann–Whitney U-Test was used to compare tau load between PSP-CBS and PSP-RS. The null hypothesis (H0) was rejected if the P value was <0.05 when ‘total’, ‘cortical’ and ‘basal ganglia’ tau load was assessed. For ‘regional’ tau load assessment, P value of 0.0033 (0.05/15) was used to adjust for multiple comparisons; for tau-positive cellular lesion load, P value of 0.01 (5 different types of tau lesions: 0.05/5) was used. χ2/Fisher's exact test or the Student's t-test was used to compare semi-quantitative grading or clinical data using P value of 0.05. The intra-rater repeatability was assessed by repeating tau quantification in four randomly selected cases (20%). The intraclass correlation coefficient was 0.80 (P < 0.001), indicating that the ‘regional’ tau load results were highly repeatable. The spss 17.0 program (IBM Corporation, New York, USA) was used for statistical analysis.
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2

Multivariate Analysis of Pain Improvement

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All quantitative variables were tested on their distribution (normality tests) with Kolmogorov-Smirnov test, and the central theorem of limits was assumed for this sample size. Categorical data were described with frequencies and percentages, and quantitative variables were described with means, standard deviations and confidence intervals. The following statistical tests were performed: chi-square with Bonferroni correction, Student's t-test, one-way ANOVA and Friedman test. Multivariate linear regression was performed to predict the influence of gender and age in pain improvement. Correlations were tested with Pearson's coefficient.
The level of significance (α) was 5%, and the statistical calculations and graphs were obtained with SPSS 17.0 program (IBM).
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3

Multivariate Statistical Analysis of Data

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At least three independent experiments were performed for each treatment. Data were expressed as mean ± standard error (SE) after a one-way analysis of variance (ANOVA) using the SPSS 17.0 program (SPSS Inc. Chicago, IL, United States). The data were statistically analyzed using the multiple range test of Duncan (P < 0.05). The PCA and OPLS-DA were performed using SIMCA v13.0.3 software (Umetrics, Umea, Sweden).
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4

Statistical Analysis of Experimental Data

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Statistical analysis of obtained data was performed with the SPSS 17.0 program (SPSS Inc., Chicago, IL, USA). The data was presented as mean±standard deviation. The comparison for potential difference between two groups was performed with the Student’s t-test. The resulting p-values less than 0.05 were considered statistically significant.
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5

Validate RNA-seq Analysis with qRT-PCR

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qRT-PCR was performed to validate the results of RNA-seq analysis, 18 differentially expressed candidate genes involved in FA biosynthesis and metabolism were selected. Specific primers were designed using Primer 5.0 and were listed in Additional file 9: Table S6. Total RNA were extracted from seeds using TRIzol Reagent and treated with DNase to remove genome contaminations. The first-strand cDNA was synthesized using a RevertAid First Strand cDNA Synthesis kit (Fermentas, Vilnius, Lithuania). qRT-PCR was performed using a SYBR kit (SYBR Green I, Osaka, Japan) on a LightCycler 480 system (Roche, Basel, Switzerland). The amplification conditions were as follows: 95 °C for 1 min followed by 40 cycles of 95 °C for 10 s, and 62–68 °C for 30 s (depending on different genes). Three independent biological triplicates and two technique repeats were performed for each sample. The relative gene expression levels were normalized to inner controls β-actin and 18sRNA and calculated using 2-ΔΔT method [42 (link)] ANOVA analysis was performed using SPSS17.0 program (SPSS Inc., Chicago, USA). All data were represented as the means ± standard error (SE, n = 3).
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6

Biochemical and Photosynthetic Analysis

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Data was presented as the mean ± standard deviation (n = 3 or 10). The significant difference was conducted by independent-samples T test analysis at p < 0.05 and p < 0.01 by using SPSS 17.0 program (SPSS, Inc., Chicago, IL, U.S.A.). All the experiments were carried out three times except that the experiments of enzyme activity and photosynthetic parameter were carried out ten times. All figures were drawn using the software of GraphPad prism 6 (GraphPad Software, San Diego, CA, U.S.A.) and Adobe Photoshop CS5 (Adobe, San Jose, CA, U.S.A).
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7

Evaluating Surgical Outcomes in Patients

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The Shapiro–Wilk test was employed to determine the distribution of the data. Categorical results were compared by Pearson’s Chi-squared test (Exact 2- sided). Paired t-test was used for statistical evaluation at baseline and at 6 months mean MRD-2 and the HPA width. The Spearman rank correlation was used to evaluate the correlation between surgical success, changes in pre-operative and post-operative MRD-2 (ΔMRD-2), changes in pre-operative and post-operative HPA (ΔHPA) width, the age and the sex of the patient, diagnosis, severity of the disease, and type of the surgery. P<0.05 was considered statistically significant. The SPSS 17.0 program was used for all statistical analyses.
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8

One-Way ANOVA Analysis of Data

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Data are reported as means ± standard deviation of the mean (SD). Statistical analyses were performed using the SPSS 17.0 program (SPSS Inc., Chicago, IL). Data were analyzed using a one-way ANOVA, followed by Tukey’s honestly significant difference (HSD) post-hoc test; P-values < 0.05 were considered significant.
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9

Analyzing Biomarker Correlation in Patients

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Spearman Rank Correlation was used to test the relation between continuous variables. We used the non-parametric Mann-Whitney U test to compare continuous and categorical variables and chi-square test for the comparison of categorical variables. Continuous variables uPA and PAI-1 were converted into binary variables to divide the patients into those with high risk and those with low risk by using limit values of 3 ng uPA / mg of proteins and 14 ng PAI-1 / mg of proteins.32 (link) Statistical analysis was performed by means of the SPSS 17.0 program. The value of p < 0.05 was considered statistically significant. uPA and PAI-1 values are shown in Table 2.
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10

Statistical Analysis of Experimental Data

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Firstly, we used SPSS 17.0 program (SPSS, Chicago, IL, USA) to test the normality of the data, and the histogram combined with non-parametric test was used to verify the normal distribution of the data. Next, GraphPad Prism v8.0.2 (Prism, GraphPad company, San Diego, Calif., USA) was used for statistical analysis. All quantitative data are presented as M ± S(means ± standard). Statistical analyses were performed using one-way analysis of variance. T-test was used to identify statistically significant differences. Values of P < 0.05 were considered statistically significant.
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