Tablecurve 2d

Manufactured by Grafiti LLC

Sourced in United States, United Kingdom

TableCurve 2D is a curve fitting and equation discovery software developed by Systat Software Inc. It is designed to automatically fit a wide range of curve types to 2D data sets, and to discover the underlying mathematical equation that best describes the data.

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Lab products found in correlation

Spss for windows version 20, by IBM (2 mentions) Sigmaplot 13, by Grafiti LLC (1 mentions) Statistica version 13, by StatSoft (1 mentions) Spss v25, by IBM (1 mentions) Spss statistics 26, by IBM (1 mentions) Lambda 25, by PerkinElmer (1 mentions) Stopped flow apparatus, by Applied Photophysics (1 mentions) Prism 5, by GraphPad (1 mentions)

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TableCurve 2D v5.01

27 protocols using tablecurve 2d

Comparative Analysis of Experimental and Simulation Load-Displacement Curves

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Steps were taken to better compare and calculate the error of the results between the actual experiment and the finite element simulation. First, the load-displacement curve data of BCLT samples was fitted by TableCurve 2D (TableCurve 2D, Systat Software Inc, v5.01, San Jose, CA, USA), and the fitting functions were obtained as shown in Fig. 8. The correlation of the fitting function Y1 (Eq. 3) of the actual experiment was 99.95%, and the correlation of the fitting function y1 (Eq. 4) of the finite element simulation was 99.99%. Second, the load-displacement curves of BWCLT boards were fitted, and the fitting functions were obtained. The correlation of fitting function Y2 (Eq. 5) was 99.84%, and the correlation of fitting function y2 (Eq. 4) was 99.99%. Equation y2 and y1 are the same, but their coefficients are different.
y1(y2) = a + b𝑥 0.5 + 𝑐𝑥 + 𝑑𝑥 1.5 + 𝑒𝑥 2 + 𝑓𝑥 2.5 + 𝑔𝑥 3 + ℎ𝑥 3.5 + 𝑖𝑥 4 + 𝑗𝑥 4.5 + 𝑘𝑥 5 (4) Y2 = A + B𝑥 + 𝐶𝑥 2 + 𝐷𝑥 3 + 𝐸𝑥 4 + 𝐹𝑥 5 + 𝐺𝑥 6 + 𝐻𝑥 7 + 𝐼𝑥 8 + 𝐽𝑥 9
(5)
In Eqs. 3, 4, and 5, all the coefficients in the equation are numerical values.

Li C., Wang X., & Zhang Y. (2020). Structural design and mechanical properties analysis of bamboo-wood cross-laminated timber. BioResources, 15(3), 5417-5432.

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Ion Hydration and Binding Parameters

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The parameters for hydration, 𝜈𝜈 12 , and ion binding, 𝜈𝜈 32 are determined by nonlinear regression of Eq. 6 (TableCurve 2D, Systat Software, San Jose, CA) to best fit the osmotic pressure versus concentration profiles for each anion solution in the study. The ion hydration parameter, 𝜈𝜈 13 , was estimated from the literature (Table 2). Table 2 also includes the reported crystal radius, apparent dynamic hydration number (ADHN) and kosmotrophicity for each ion. The crystal radius is inversely related to surface charge density. 16 The ADHN for each ion is considered to be a primary factor in ion binding to proteins. 71 Kosmotrophicity is a categorization of whether an ion behaves as a kosmotrope (k) or a chaotrope (c). This evaluation is based on a number of factors including the viscosity B coefficients 34

Hale C.S., Ornelas D.N., Yang J.S., Chang L., Vang K., Batarseh R.N., Ozaki N, & Rodgers V.G.J. (2018). Interrogating the Osmotic Pressure of Self-Crowded Bovine Serum Albumin Solutions: Implications of Specific Monovalent Anion Effects Relative to the Hofmeister Series. The journal of physical chemistry. B, 122(33).

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Seasonal Beetle Mortality and Fungal Infection

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Beetles in the lower plate were scored as alive or dead when assessed every Monday, Wednesday, and Friday. Dead beetles were immediately placed in the upper Petri plate and scored as dead-asymptomatic, mycelial outgrowth, or sporulating during subsequent evaluations. On each evaluation day, the cigarette lter in the lower plate and lter paper in the upper plate were moistened as required, and apple replaced if it was moldy or deteriorating. On day 31, beetles maintained at April temperatures were removed and placed in a 25C incubator to verify the contribution of degree days to mortality and disease development.
All beetles were assessed until day 35. Mean beetle mortality outcomes (y) with standard deviation were plotted against evaluation day (x) for each seasonal temperature x beetle species x M. brunneum strain. Zero-intercept transition function (sigmoid) models were t to the data using TableCurve 2D (Systat Software, San Jose, CA, USA). The percent of subdivided dead categories were plotted against evaluation day.

Kabaluk T., Ruau S., & Poon A.Y.K. (2021). The Effect of Simulated Seasonal Temperatures On Metarhizium Brunneum-Associated Mortality In Two Click Beetle Species, And A Degree-Day Infection Model.

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Curve Fitting Software Analysis

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All statistical analyses (regressions, model fitting) in this study were performed using the software Table Curve 2D, version 5.01 (Systat Software, 2000 ).

Martins K.V., Dourado-Neto D., Reichardt K., de Jong van Lier Q., Favarin J.L., Sartori F.F., Felisberto G, & Mello S.D. (2017). Preliminary Studies to Characterize the Temporal Variation of Micronutrient Composition of the Above Ground Organs of Maize and Correlated Uptake Rates. Frontiers in Plant Science, 8, 1482.

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Comparing Treatment Effects with Statistical Analyses

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Statistical analyses were applied on datasets recorded for all individuals within one treatment (n = 60). To compare the treatments with each other, likelihood ratio tests and, if necessary, Fishers exact test were conducted (α = 0.05) with SAS JMP version 12 (SAS Institute, Germany). To correct for multiple testing, the α-level was adjusted by sequentially Bonferroni correction [23 ]. Table Curve 2D (Systat Software GmbH, Germany) was used for calculating regression curves and SigmaPlot 13 (Systat Software GmbH, Germany) was used to plot graphs.

Lorenz C.S., Wicht A.J., Guluzada L., Luo L., Jäger L., Crone B., Karst U., Triebskorn R., Liang Y., Anwander R., Haderlein S.B., Huhn C, & Köhler H.R. (2017). Nano-sized Al2O3 reduces acute toxic effects of thiacloprid on the non-biting midge Chironomus riparius. PLoS ONE, 12(5), e0176356.

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Curve Fitting for Polyprotic Drugs

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Table Curve 2D from Systat Software Inc. (San Jose, CA, USA) was used to fit the mobility -pH curves of polyprotic drugs. Other data calculations were performed through Excel 2010 from Microsoft (Redmond, WA, USA).

Lebanov L ., Fuguet E ., Melo JM , & Rosés M . (2020). Determination of acidity constants at 37 °C through the internal standard capillary electrophoresis (IS-CE) method: internal standards and application to polyprotic drugs. The Analyst, 145(17).

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Drying Kinetics and Modeling

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Results are presented as mean ± standard deviation of two independent technological determinations. Statistical analysis was conducted using Statistica version 13.3 (StatSoft, Kraków, Poland) and for PCA analysis XLSTAT for Microsoft Excel2019 was used. One-way analysis of variance (ANOVA) with a significance differences below 0.001 was evaluated by Tukey test. Drying model was fitted using Table Curve 2D (Systat Software, Inc., San Jose, CA, USA). The good fitting of a model was evaluated using coefficient of determination (R²) and root mean square error (RMSE).

Wojdyło A., Lech K, & Nowicka P. (2020). Effects of Different Drying Methods on the Retention of Bioactive Compounds, On-Line Antioxidant Capacity and Color of the Novel Snack from Red-Fleshed Apples. Molecules, 25(23), 5521.

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Optimizing Frying Conditions for Food Quality

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The experiments were replicated at least 5 times. Mean and standard deviation of the data were calculated. The Fisher’s least significant difference (LSD) tests were applied for analysis of the effects of PEF treatment, level of dehydration and frying temperature. For each analysis, the significance level of 5% was assumed. All statistical analyses were performed with a 95% confidence interval. For the derivation of frying rates constant, the software package TableCurve 2D, version 5.01 (Systat Software, San Jose, CA, United States) was used.

Liu C., Zhang R., Vorobiev E, & Grimi N. (2022). Mitigation of Acrylamide in Potato Chips by Pre-drying and Pulsed Electric Field Treatment. Frontiers in Nutrition, 9, 919634.

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Quantitative Antimicrobial Efficacy Evaluation

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For ELLA experiments (data from 12 independent samples), OD at 405 nm was plotted versus the logarithm of Con A concentrations. Values were fitted in a dose-response curve including 95% confidence intervals using Table Curve 2D (Systat Software Inc., San Jose, CA).
All results of PIB experiments are graphically shown as medians, including 25 and 75% quantiles and were calculated using SPSS for Windows, version 20 (SPSS Inc., Chicago, IL) from the values of at least six independent experiments, each performed in duplicate. Horizontal solid and dashed lines in the figures depict reductions of 3 and 5 log₁₀ steps CFU respectively, compared to untreated control groups PS-L-. Medians on these lines exhibit inactivation efficacy rates of 99.9% (3 log₁₀) or 99.999% (5 log₁₀). According to the infection control guidelines, this is declared as biologically relevant antimicrobial activity or disinfectant effect, respectively (Boyce and Pittet, 2002 (link)).

Cieplik F., Pummer A., Regensburger J., Hiller K.A., Späth A., Tabenski L., Buchalla W, & Maisch T. (2015). The impact of absorbed photons on antimicrobial photodynamic efficacy. Frontiers in Microbiology, 6, 706.

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Quantitative Analysis of Calcium Release

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Results from pH measurements and colorimetric Ca²⁺ release assays are shown as medians, 1st and 3rd quartiles and were calculated using SPSS, v. 25 (SPSS Inc., Chicago, IL, USA) from the values of at least 10 (planktonic) or 12 (biofilm) independent duplicate experiments, respectively. For calculating Ca²⁺ concentrations from OD values, a standard was prepared according to the manufacturer’s guidelines (Calcium assay kit ab102505). OD values were fitted on a linear curve (r² = 0.96) using Table Curve 2D (Systat Software Inc., San Jose, CA, USA). Data were analyzed statistically by applying non-parametric procedures (Mann-Whitney U test) for pairwise comparisons between groups on an α = 0.05 level of significance using SPSS. CFU results were calculated as medians, 1st and 3rd quartiles with SPSS from the values of at least 6 independent experiments, each performed in duplicate.

Cieplik F., Rupp C.M., Hirsch S., Muehler D., Enax J., Meyer F., Hiller K.A, & Buchalla W. (2020). Ca2+ release and buffering effects of synthetic hydroxyapatite following bacterial acid challenge. BMC Oral Health, 20, 85.

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