Jmp pro v12

Fully opened flowers were harvested at 18.0 h, and volatiles was collected for 1 h in glass tubes using a push–pull dynamic headspace collection system as previously described [28 (link), 36 (link)]. Volatiles were collected from three biologically replicated flowers on glass columns containing approximately 50 mg HaySep Q 80–100 porous polymer adsorbent (Hayes Separations Inc., Bandera, TX) and eluted with methylene chloride. Quantification of volatiles in the elution matrix was performed on an Agilent 7890A Series gas chromatograph (GC) equipped with an Agilent 5977A single quadrupole mass spectrum detector (MSD) using an equipped DB-5 column (Agilent Technologies, Santa Clara, CA). The volatile mass emission rates (ng*gFW⁻¹*hr⁻¹) were calculated based on each compound’s individual peak area relative to the peak area of an elution standard, nonyl acetate, within each sample and standardized for each sample’s corresponding biological mass. Mean separation and comparison of ir-PhCSE floral volatiles to MD controls was performed with Tukey’s multiple range test (one-way ANOVA, P < 0.05) using a JMP Pro v.12 statistical software package (SAS Institute Inc., Cary, NC).

The quality assessment of the sequence reads generated was performed using Fastqc v0.11.2 [50 ]. The FASTX_toolkit [51 (link)] and SolexaQA [52 (link)] were used for the removal of adapters and poor quality sequences. De novo assembly of the reads was performed using Trinity v2.2.1 [53 (link)]. Assembled sequences were then blasted against a locally installed plant virus database using BLASTN 2.2.30+, TBLASTX 2.2.30+ [54 (link)]. Identities of the viruses present in each sample were visualized using Krona [21 (link)]. Reference mapping was performed for individual samples against the most similar reference genome downloaded from NCBI, using CLC Genomics Workbench 5.5.1 software (Qiagen, Germany).
Multiple sequence alignment of the viruses was performed using CLC Genomics Workbench 5.5.1 software. Nucleotide sequences of MCMV and SCMV coat proteins were used for phylogenetic analysis in Mega 6.0 [55 (link)], where a maximum likelihood method based on the Kimura 2-parameter model [56 (link)] was used with 1000 bootstrap replicates. Sequences of MCMV, SCMV, and MSV were submitted to the GenBank using the BankIt sequence submission tool [57 ].
Farmers’ interviews and field observation data were analyzed using JMP Pro v.12 (SAS Institute Inc. 2013). Means of symptomatic plants across villages within the regions and AEZs were computed and compared in a nested linear regression model.

Paired t-tests were used to determine whether significant within-group differences were present between WM-seed and GM-seed networks for both controls and AD subject groups. Two-sample t-tests were utilized to assess differences between controls and AD in either WM-seed networks or GM-seed networks. Equality of variance was tested using F-tests prior to performing two-sample t-tests, and all effect sizes are presented as Cohen’s d values. Statistics were performed in MATLAB vR2012b (MathWorks, Natick, MA, USA) and JMP Pro v12.1.0 (SAS, Cary, NC, USA).

Power analysis was conducted for the number of animals required for the AAS studies and the LC kinetics study (1-β > 0.95). A total of 4 animals per treatment group were used for AAS analysis (N = 4). Three animals per treatment group were used for the LC migration studies and flow cytometry analysis (N = 3-4). For flow data analysis, results from 3 to 4 experiments with approximately a million cells per treatment group were concatenated. All AAS data is presented as either percent Cd recovered (Tissue Cd concentration/Sham Cd concentration) or as Cd (ng) per total tissue weight (g). All statistical analyses were run with JMP Pro v 12.1.0 (SAS Institute Inc., Cary, NC). A Kruskal-Wallis test and subsequent post-hoc Mann-Whitney analysis was performed when appropriate data with p-values <0.05 were considered significant. The confocal microscopy and flow cytometry data are presented as total cells per skin area and total cells per sample, respectively. Appropriate compensation using standard beads (BD Compensation Beads #552843) and fluorescence minus one (FMO) controls were added to each panel for measurement on the 18-color LSR flow cytometer. Data was analyzed using FlowJo (8.8.7). The gating strategy has been shown in Additional file 1: Figure S2. The statistical tests used for each experiment are mentioned under each figure legend in detail.

Hemodynamics, Millar catheter measurements, and myocardial strain measures are reported as means with standard deviation at each condition. The change in myocardial strain between each condition and baseline are reported as mean change expressed as percentage. Global myocardial strain measured at 15‐minute ischemia was compared to baseline using a paired t‐test. Hemodynamics and myocardial strain measures during ischemia and reperfusion were compared to baseline within ischemic, peri‐ischemic, and nonischemic zones using repeated measures ANOVA and Tukey's HSD stratified by myocardial layer (epicardial vs. endocardial). For zones with significant changes from baseline during ischemia, segmental analysis was performed using paired t‐tests to identify segments affected by ischemia. Bonferroni correction was used to account for multiple hypothesis testing and P < 0.05 was considered statistically significant. All statistical analyses were performed in JMP Pro v12.0 (SAS, Cary, North Carolina).