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Spss software version 17.0 for windows

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SPSS software version 17.0 for Windows is a statistical analysis software that provides tools for data management, analysis, and presentation. It offers a range of statistical techniques, including descriptive statistics, bivariate analysis, and multivariate techniques. The software is designed to help users analyze and interpret data effectively.

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Lab products found in correlation

Thiobarbituric acid, by Nanjing Jiancheng (1 mentions) Ldh kit, by Nanjing Jiancheng (1 mentions) Synergy 4 microplate reader, by Agilent Technologies (1 mentions) Spss statistic, by IBM (1 mentions)

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44 protocols using spss software version 17.0 for windows

1

Statistical Analysis of Experimental Data

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Means of analyses in triplicate and standard deviation were calculated by the Microsoft Excel software (2010 version) . Analysis of variance (one-way ANOVA) was performed by SPSS software version 17.0 for Windows (SPSS Inc., Chicago, IL, U.S.A.) , using the Tukey test and the significance level was set at p＜0.05. The effect of temperature and heating duration were analysed by a two-way ANOVA by SPSS software version 17.0 for Windows (SPSS Inc., Chicago, IL, U.S.A.) .
Giuffrè A.M., Capocasale M., Zappia C, & Poiana M. (2017). Influence of High Temperature and Duration of Heating on the Sunflower Seed Oil Properties for Food Use and Bio-diesel Production. Journal of oleo science, 66(11).
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2

COX-2 Expression Analysis in OLP

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The Mann–Whitney U test was used to compare COX-2 expression between OLP and normal oral tissues. The Spearman or Pearson correlation coefficient was used to determine correlations between COX-2 expression and the clinical criteria or the VAS score, respectively. SPSS software version 17.0 for Windows (IBM, Chicago, IL, USA) was used for all statistical analyses.
Chankong T., Chotjumlong P., Sastraruji T., Pongsiriwet S., Iamaroon A, & Krisanaprakornkit S. (2016). Increased cyclooxygenase 2 expression in association with oral lichen planus severity. Journal of Dental Sciences, 11(3), 238-244.
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3

Diagnostic Yield Comparison in Excel

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We collected data using the Microsoft Excel application. All data are given as mean + standard deviation. We used SPSS software version 17.0 for Windows (IBM Corp, Armonk, New York) for statistical analyses. Diagnostic yields were compared using McNemar test. P < .05 was considered statistically significant.
Wan Y., Long C., Liu Y., Wang J., Tang X, & Wang S. (2023). Value of cytopathology in the diagnosis of adenoid cystic carcinoma and an analysis of misdiagnoses. BMC Surgery, 23, 52.
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4

Correlations of Environmental Factors and Biological Responses

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The correlations between the meteorological factors including AirRH, AirTm, SoilTm, air pressure (AirP), wind and biological responses, including sap flow velocity (in the stems and roots) and gene expression level of AQPs, were analysed with the Pearson correlation coefficient (PCC) using SPSS software version 17.0 for Windows (SPSS Inc., Chicago, IL, USA). The regression analyses between PAR and sap flow velocity were also performed using SPSS software.
Yan X., Zhou M., Dong X., Zou S., Xiao H, & Ma X.F. (2015). Molecular mechanisms of foliar water uptake in a desert tree. AoB Plants, 7, plv129.
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5

Quantitative Analysis of Picrosirius Staining

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For quantitative analysis using light microscope photomicrographs (picrosirius staining), data were statistically analyzed by the ANOVA and Holm-Sidak posttest using SPSS software, version 17.0, for Windows (SPSS Inc., Chicago, IL, USA) (P = 0.05). These data were presented as mean ± SD and all groups were compared one to each other (intra- and extragroup comparisons).
Iyomasa M.M., Caroline Leão J., Camargo Rizzi É., Issa J.P., Dias F.J., Watanabe I.S, & Iyomasa D.M. (2014). Ultrastructure and Light Microscope Analysis of Intact Skin after a Varying Number of Low Level Laser Irradiations in Mice. BioMed Research International, 2014, 506051.
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6

Excel-Based Statistical Analysis of Diagnostic Yields

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We collected data using the Microsoft Excel application. All data are given as mean ± standard deviation. We used SPSS software version 17.0 for Windows (SPSS, Inc) for statistical analyses. Diagnostic yields were compared using McNemar test. A P value <.05 was considered statistically significant.
Wang S., Li D., Wang J., Wan Y., Huang C., Yang B., Tang X., Tian G, & Yang Z. (2020). A Comparative Study of Liquid-Based Cytology and DNA Image Cytometry in the Diagnosis of Serous Effusion. Technology in Cancer Research & Treatment, 19, 1533033820942298.
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7

Evaluating IVIM-DWI Parameters for Diagnosis

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All analyses were performed using SPSS software version 17.0 for Windows (SPSS Inc.) and MedCalc software version 12.3 (MedCalc Software). The ADCstandard and IVIM-DWI parameter values are presented as the mean ± standard deviation. ADCstandard and IVIM-DWI parameter values were compared using an independent sample Student's t-test. Receiver operating characteristics (ROC) analysis was performed to evaluate the diagnostic performance of IVIM-DWI parameters and to determine the cut-off values using the maximum Youden index (the sum of specificity and sensitivity). P<0.05 was considered to indicate a statistically significant difference.
Ma W., Wei M., Han Z., Tang Y., Pan Q., Zhang G., Ren J., Huan Y, & Li N. (2019). The added value of intravoxel incoherent motion diffusion weighted imaging parameters in differentiating high-grade pancreatic neuroendocrine neoplasms from pancreatic ductal adenocarcinoma. Oncology Letters, 18(5), 5448-5458.
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8

Quantitative mRNA Expression Analysis

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Raw mRNA expression data were computed by 2−△Ct formula with values normalized to GAPDH [13 (link)]. All data were presented as the mean ± standard deviation (SD) of triplicate experiments, unless otherwise specified. Data were analyzed by using Student’s 2-tailed T test or one-way ANOVA, followed by post-hoc Duncan multiple range test when F values were significant. SPSS software version 17.0 for Windows was used for statistical analysis. A P value less than 0.05 was considered significant.
Xu G., Tu W, & Qin S. (2014). The relationship between deiodinase activity and inflammatory responses under the stimulation of uremic toxins. Journal of Translational Medicine, 12, 239.
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9

Statistical Analysis of Clinical Parameters

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Statistical analyses were performed using SPSS software version 17.0 for Windows (SPSS, Chicago, IL, USA) and Stat Flex version.6 for Windows (ARTECH, Osaka, Japan). Clinical parameters were expressed as median (range) or number (percentage) and the others values were presented as mean ± SEM. For parametric variables, comparisons between groups were made using the one-way ANOVA with Bonferroni’s correction. For nonparametric continuous variables, the Kruskal-Wallis test was used and followed by the Mann-Whitney U-test with Bonferroni’s correction. Categorical variables were analyzed by the Fisher’s exact probability test. Correlation coefficients were calculated using Spearman’s rank correlation analysis. A p value of less than 0.05 was considered to be statistically significant.
Komatsu M., Kimura T., Yazaki M., Tanaka N., Yang Y., Nakajima T., Horiuchi A., Fang Z.Z., Joshita S., Matsumoto A., Umemura T., Tanaka E., Gonzalez F.J., Ikeda S.I, & Aoyama T. (2014). Steatogenesis in adult-onset type II citrullinemia is associated with down-regulation of PPARα. Biochimica et biophysica acta, 1852(3), 473-481.
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10

TBX5 Expression and Clinicopathological Correlates

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All statistical analyses were performed with SPSS software, version 17.0 for Windows (SPSS Inc., Chicago, IL, USA). A Wilcoxon matched- pairs signed-rank test was used to compare the TBX5 protein levels in the tumor tissue and the adjacent normal tissue samples. The correlation between TBX5 and the clinicopathological characteristics were assessed using the χ2 test. Survival curves were plotted by the Kaplan-Meier method with the log-rank test. P≤0.05 was considered to indicate a statistically significant difference.
ZHENG Y., LI Y.F., WANG W., CHEN Y.M., WANG D.D., ZHAO J.J., PAN Q.Z., JIANG S.S., ZHANG X.F., YUAN S.Q., QIU H.B., HUANG C.Y., ZHAO B.W., ZHOU Z.W, & XIA J.C. (2015). High expression level of T-box transcription factor 5 predicts unfavorable survival in stage I and II gastric adenocarcinoma. Oncology Letters, 10(4), 2021-2026.
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