Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models1

Sebastian Kripfganz; Daniel C. Schneider

doi:10.1111/obes.12377

Optimizing Mixtures of Se Compounds as Adjuvants to Therapeutic Agents

Current Developments in Nutrition ◽

10.1093/cdn/nzaa067_075 ◽

2020 ◽

Vol 4 (Supplement_2) ◽

pp. 1848-1848

Author(s):

Kaden Walker ◽

Zachary Griffin ◽

Merrill Christensen

Keyword(s):

Prostate Cancer ◽

Response Surface Methodology ◽

Cell Viability ◽

Response Surface ◽

Metabolic Effects ◽

Chemical Forms ◽

P Values ◽

Funding Sources ◽

Methylseleninic Acid ◽

Proof Of Principle

Abstract Objectives Different chemical forms of selenium (Se) regulate distinct sets of genes and have different metabolic effects. We previously showed that mixtures of different Se compounds can have greater inhibitory effects on prostate cancer cell viability than individual chemical forms. Further, we showed that blends of different Se forms can be optimized using response surface methodology. Previous investigators showed that single forms of Se can potentiate the effects of chemotherapeutic and other agents. We hypothesized that optimized mixtures of different forms of Se would be more effective than individual Se compounds in enhancing the efficacy of Se-drug combinations. Our objective was to provide proof of principle for this hypothesis. Methods Response surface methodology was used to optimize a blend of methylseleninic acid (MSA), selenite (SEL) and Nano Se to achieve maximum reduction of cell viability in LNCaP prostate cancer cells. Apalutamide (APA), Enzalutamide (ENZ), Docetaxel (DOC), and Mitoxantrone (MIT) were each combined with a single Se compound, or with the optimized blend. Cell viability assays were done using Alamar Blue. Results The optimized mix of Se forms, determined using response surface methodology, was a 50:50 blend of MSA and SEL, that surprisingly did not include Nano Se. All medium supplemented with Se compounds contained 10 μM Se. MIT treatment alone reduced cell viability >90% and showed no further reductions due to added Se. Addition of either form of Se to APA, DOC, or ENZ significantly decreased cell viability compared to treatment with the drug alone (P values: 0.008 - 0.041). Similarly, in 5 out of 6 cases, combination of the optimized blend of Se compounds with the drug resulted in further decreases in cell viability, compared to the mix of drug plus one chemical form of Se (P values: 0.013 – < 0.001). Conclusions These results provide proof of principle that the substitution of an optimized blend of Se compounds for a single Se form, may increase the efficacy of previously reported drug-Se combinations and treatments. Optimization of blends of different Se compounds can be done under conditions customized to their intended use to achieve a desired outcome. Funding Sources This work was funded by the BYU Simmons Center for Cancer Research.

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The Brazilian Way to Consume acai: Do guarana Extract and Sugar Concentrations Influence on Acceptance?

Journal of Food Research ◽

10.5539/jfr.v3n1p39 ◽

2013 ◽

Vol 3 (1) ◽

pp. 39

Author(s):

Gabriela Montenegro ◽

Karen S. Pereira ◽

Lauro Melo

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Critical Value ◽

Consumer Acceptance ◽

Central Composite Rotatable Design ◽

Optimal Conditions ◽

F Test ◽

Sensory Acceptance ◽

Amazon Estuary ◽

Central Composite

Acai is a palm widely distributed in the Amazon estuary floodplains. The edible pulp of acai fruits is commonly macerated with water to produce a thick, purple beverage of creamy texture, oily appearance, and characteristic flavor. Depending on the Brazilian region, the acai based-product is prepared adding sugar and guarana extract, but their ideal proportions have never been determined in order to optimize consumers’ sensory acceptance. This research investigated these concentrations using response surface methodology (RSM) based on a five-level, two variable central composite rotatable design (CCRD). Dependent variable was consumer acceptance (flavor, texture and overall liking) and results were analyzed by multivariate regressions. Analyses of Variance (ANOVAs) showed significant models – F-test values (29.3 for flavor, for texture 37.8 and 30.4 for overall liking) higher than the critical value of 4.35 (d.f. = 3; p < 0.05; R2 of 0.926 for flavor, 0.942 for texture and 0.929 for overall liking). Acceptance models are presented (significant parameters). Results showed that guarana extract has a stronger influence (negative) on acceptance compared to sugar (positive), both not on optimal conditions yet. Therefore, more studies are needed in order to optimize acai acceptance.

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The Influence of Culture, Social, Personal, and Psychological Toward the Behavior of Choosing Islamic Finance: A Study in the Community of Aceh Province Indonesia

Budapest International Research and Critics Institute (BIRCI-Journal) Humanities and Social Sciences ◽

10.33258/birci.v4i1.1739 ◽

2021 ◽

Vol 4 (1) ◽

pp. 1213-1225

Author(s):

M. Yasir Nasution ◽

Saparuddin Siregar ◽

Hidayati Siregar

Keyword(s):

Critical Value ◽

Islamic Finance ◽

P Value ◽

Psychological Variables ◽

P Values ◽

Indirect Influence ◽

Cultural Variables ◽

The People ◽

Analysis Technique ◽

Aceh Province

The high demand for motorbikes in the people of Aceh Province has led to an increase in the amount of motorcycle financing in the Province of Aceh. The purpose of this study is to find out and analyze how the behavior of the people of Aceh Province in choosing Islamic finance as a place for motorcycle financing. This study also aims to determine the obstacles and efforts made by Islamic finance companies so that the people of Aceh choose Islamic finance as a place of financing. Type of research is quantitative-qualitative method. The analysis technique used in quantitative research is the Structural Equation Model using AMOS 22.1 software, while qualitative research data are obtained through observation, interviews and documentation. The data analysis technique used in this study is an interactive model analysis consisting of data collection, data reduction, data presentation and conclusion drawing. This study produced cultural variables that produced P values (0.703), social variables with P values (0.070) and psychological variables with P values (0.395). Each of these variables does not affect the behavior of the people of Aceh Province in choosing Islamic finance as a place of financing. While the personal variable has a positive and significant effect on the P value (0.003) which is below the critical value of 0.05. While cultural, social, personal and psychological variables simultaneously do not affect people's behavior in choosing Islamic finance. Cultural variables on personal, cultural on psychological and social on psychological have a positive and significant effect, where each P value is brought to a critical value of 0.05. Personal variables and psychological variables do not have an indirect influence on the behavior of the people of Aceh Province in choosing Islamic finance with culture as an intervening variable. Likewise, personal and psychological variables do not have an indirect influence on the behavior of the people of Aceh Province in choosing Islamic finance with social as an intervening variable.

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Response surface analysis on the effect of temperature and pH on Growth and proteolytic activity of thermophilic Bacillus sp

Brazilian Archives of Biology and Technology ◽

10.1590/s1516-89132010000500009 ◽

2010 ◽

Vol 53 (5) ◽

pp. 1067-1072 ◽

Cited By ~ 1

Author(s):

Krystyna Gorlach-Lira ◽

Maria Lourdes Vieira Pedroza ◽

Aleksandra Burdziej-Pokojska ◽

Henryk Rozycki ◽

Hanna Dahm

Keyword(s):

Response Surface ◽

Proteolytic Activity ◽

Effect Of Temperature ◽

Coefficient Of Determination ◽

Bacillus Sp ◽

P Values ◽

Thermophilic Bacillus ◽

Cell Biomass ◽

Initial Ph ◽

Statistic Model

Proteolytic activity and cell biomass of thermophilic Bacillus sp. strain were evaluated at various levels of initial pH and temperature by applying response surface methodology. The mineral medium containing yeast extract (0.01%) and starch (1%) was used throughout the experiment. The results of statistical analysis revealed the polynomial model with high coefficient of determination (R² = 0.8) for the biomass and total proteolytic activity of the strain studied. This model showed a satisfactory adjustment of the statistic model with the experimental data. The p values showed that the temperature and pH had significant effect on biomass and proteolytic activity (P<0.05) of strain tested. The highest proteolytic activity (2.333 U/ml/h) of the Bacillus sp. was predicted at 41º C and pH 4.8. The high biomass values were observed at broad range of temperature and pH.

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