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1 177 protocols using spss software version 16

1

Comparative Fatty Acid and Proteomic Analysis

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The absolute and relative content of fatty acids was analyzed using independent-sample T test in Statistical Package for the Social Sciences (SPSS) software version 16.0 (SPSS Inc., Chicago, IL, USA), and Pearson correlation analysis was carried out using SPSS software version 16.0. The significance threshold for the above analyzes was set at p < 0.05. The raw spectrum files were searched separately with ProteomeDiscoverer software version 2.4 (Thermo Fisher Scientific Inc., Waltham, MA, USA). The parameters for searching were set as follows: dynamic modification: oxidation (M), acetyl (N-term); digestion: trypsin; instrument: Q Exactive; MS1 tolerance: 10 ppm; MS2 tolerance: 0.02 Da; missed cleavages: 2; database: GCF_000298355.1_BosGRuv 2.0_protein.fasta. Proteins with p < 0.05 and fold change (FC) of ±2 or greater were considered to be differentially expressed proteins (DEPs). GO analysis was performed to identify DEPs significantly at p < 0.05. The raw data in PRM were analyzed using Skyline 3.5.0 software (MacCoss Lab, University of Washington, Seattle, WA, USA).
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2

Gensini Score and Brain Volumes

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The analysis was performed using SPSS software version 16.0 (SPSS Inc., Chicago, Illinois, USA). Independent t-tests and Chi-square tests were used to compare baseline variables. Differences between patients and controls were tested using multiple analysis of co-variance for each ROI with controlling the confounding effects of intracranial volume.
Pearson correlation was used to identify the strength and direction of any correlation between Gensini scores and brain volumes; with statistical significance set at P < 0.05. The analysis was performed using SPSS software version 16.0. (Chicago, SPSS Inc).
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3

Altered Resting-State Brain Activity in Diabetic Retinopathy

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Variables of the demographic and clinical features of the DR and HC groups were analyzed using the SPSS software version 16.0 (SPSS Inc, Chicago, Illinois, USA) via chi-squared test and independent-samples t-test. P value <0.05 was considered to have a significant statistical difference.
A one-sample t-test was performed to assess the mean ALFF results within each group using the SPM8 software. The mean ALFF values in each voxel of the two groups were compared by a two-sample t-test based on the SPM8 software (two-tailed, voxel-level P<0.01, Gaussian random field correction, cluster-level P<0.05). Age and sex were incorporated as covariates.
The relationship between the ALFF values in significantly altered regions and clinical features in the DR group was calculated using Pearson correlation. The regions of the cerebrum with a distinctly different mean ALFF signal value between the two groups were assessed using the receiver operating characteristic (ROC) curve. Both the Pearson correlation and the ROC curve were performed using the SPSS software version 16.0.
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4

Statistical Analysis of Research Data

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The mean and standard deviations (SD) were calculated. Statistical analysis was performed using SPSS software version 16(SPSS Inc., Chicago, USA).
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5

Statistical Analysis of Sociodemographic Factors

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The analysis was performed using SPSS software version 16 (Statistical Package for the Social Sciences, Chicago, IL, USA). Frequencies and percentages were computed for discontinuous sociodemographic and clinical variables. Mean and standard deviation (SD) for the continuous variables were calculated. Both the groups were compared using t-test, Chi-square test, Fisher's exact test, and Yate's correction wherever applicable. For multiple comparisons, Bonferonni post hoc test correction was carried out. The statistical significance was kept at P < 0.05.
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6

Statistical Analysis of Experimental Groups

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For data analysis, one way analysis of variance (ANOVA) was performed using SPSS software version 16 (SPSS Inc. USA). Supplementary analyses, including Duncan and Dunnett tests, were performed for pairwise comparison of means between experimental groups, and between the experimental groups
groups, and between the experimental groups and the control group, respectively. In all cases, P < 0.05 was considered statistically significant.
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7

Comparing Salt Levels in Doogh and Kefir

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T-test in SPSS software (version 16) (SPSS Inc., Chicago, IL, USA) was utilized to analyze the difference of distribution between the mean concentration of salt levels of Doogh and Kefir samples. The results were expressed as mean ± SEM. Statistical significance was set at P < 0.01.
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8

Postoperative Urinary Catheter Management and Outcomes

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Urethral catheter was removed on 21th postoperative day, while the suprapubic catheter was left in place for a few days to ensure a satisfactory voiding before removal. Early postoperative complications were recorded for all patients.
All patients were followed-up at 3, 6, 9, and 12 months postoperatively. At each visit, patients were asked about any urinary symptoms with assessment of residual urine by ultrasound and the late complications were recorded. Retrograde urethrogram was carried out after catheter removal then after 3 months or on demand. Uroflowmetry was carried out at 6 and 12 months. Flexible cystoscopy was carried out for all patients with a suspicious of stricture recurrence. Stricture recurrence that required subsequent urethrotomy, periodic dilatation or urethroplasty was considered failure.
Differences between the groups were assessed using Student t-test for continuous variables, and Chi square test for categorical variables. Logistic regression analysis was used to determine independent predictors of failure after urethroplasty. P value ≤ 0.05 indicates significance. All statistical analyses were performed using SPSS software version 16 (Chicago, IL, USA).
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9

Statistical Analysis of NIPS Questionnaire

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The statistical analysis was done using SPSS software, version 16 (SPSS Inc., Chicago, IL, USA). Baseline demographics and NIPS questionnaire parameters were compared among study groups using ANOVA and the chi-squared test and the Fisher exact test, as deemed appropriate. The confidence interval was set at 95%, and statistical significance was set at p=0.05.
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10

Statistical Analysis of Experimental Data

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Statistical analysis was conducted using SPSS software version 16 (SPSS, Inc.). All data are presented as the mean ± SD (standard deviation) from three or more separate experiments. Statistical significances between two groups were analyzed using one-way ANOVA followed by the Scheffé test (Figs. 2C-F, 3 and 5), or two-tailed Student's t-test (Figs. 1, 2A and B, 4 and Fig. S1). P<0.05 was considered to indicate a statistically significant difference.
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