scholarly journals The role of depression in the discrepancy between estimated and actual smartphone use: A cubic response surface analysis.

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Craig J. R. Sewall ◽  
Douglas A. Parry
Keyword(s):  
Response Surface ◽  
Surface Analysis ◽  
Response Surface Analysis ◽  
Smartphone Use

scholarly journals What is the role of depression in the discrepancy between estimated and actual iPhone use? An exploratory analysis using cubic response surface analysis

2021 ◽  
Author(s):  
Craig Sewall ◽  
Douglas Parry
Keyword(s):  
Response Surface ◽  
Digital Media ◽  
Surface Analysis ◽  
Media Use ◽  
Response Surface Analysis ◽  
Self Report ◽  
The Past ◽  
Almost All ◽  
Insight Into

The association between depression and digital media use has received substantial research and popular attention in recent years. While meta-analytic evidence indicates that there is a small, positive relationship between digital media use and depression, almost all studies rely on self-report measures of digital media use. Evidence suggests these measures are poor reflections of usage measures derived from digital trace data. Additionally, a recent study showed that the error in self-reported digital media use is likely biased systematically by factors that are fundamental to the effect being investigated: respondents’ volume of use and level of depression. The current exploratory study harnesses cubic response surface analysis—a novel analytical approach in this domain—to advance our understanding of how inaccuracies in self-report measures of digital media use can be explained by respondent attributes, in this case their level of depression and actual iPhone usage. A sample of 325 iPhone users provided estimates of their total iPhone use over the past week, their actual iPhone use as recorded by the Apple Screen Time application, and a measure of their depression (CESD-R-10). The results of the analysis indicate that depression is i.) more strongly associated with estimated than device-logged DMU; ii.) more associated with over-estimating than under-estimating of DMU; and iii.) more associated with inaccuracy at lower versus higher levels of DMU. The findings raise important questions concerning the validity of conclusions in this area and provide insight into the structure of measurement error in self-report estimates of digital media use.

Polynomial vs. Mechanism-Based Response Surface Analysis of the Thermomechanical Treatment of Al-Sn Alloys

2010 ◽  
Vol 638-642 ◽  
pp. 321-326 ◽  
Author(s):  
Rafael Schouwenaars ◽  
H. A. Cortéz ◽  
V. H. Jacobo ◽  
A. Ortiz
Keyword(s):  
Response Surface ◽  
Surface Analysis ◽  
Response Surface Analysis ◽  
Physical Models ◽  
Second Phase ◽  
Physical Metallurgy ◽  
Vs Mechanism ◽  
Physical Phenomena ◽  
Insight Into

The effects of strain, annealing time and temperature during the processing of an Al-Sn-based triboalloy were researched by response surface analysis. A second-degree polynomial in strain-time-temperature space was compared to a formulation based on generally accepted physical models for recrystallisation, recovery and grain growth, using the rule of mixtures for a microstructure consisting of recovered, recrystallised and second-phase grains. The polynomial approach provides interesting information on the role of rolling reduction in the optimisation of the alloy. The mechanism-based approach yields higher precision with less fitting parameters and provides insight into the relative importance of the physical phenomena involved in the processing of an alloy which has rarely been studied from the viewpoint of physical metallurgy.

scholarly journals Response surface analysis of nozzle parameters at supersonic flow through microjets

2021 ◽  
pp. 1-16
Author(s):  
Turki Al-Khalifah ◽  
Abdul Aabid ◽  
Sher Afghan Khan ◽  
Muhammad Hanafi Bin Azami ◽  
Muneer Baig
Keyword(s):  
Supersonic Flow ◽  
Response Surface ◽  
Surface Analysis ◽  
Response Surface Analysis ◽  
Flow Through

scholarly journals In vitro synergy of isavuconazole in combination with colistin against Candida auris

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Patrick Schwarz ◽  
Anne-Laure Bidaud ◽  
Eric Dannaoui
Keyword(s):  
Response Surface ◽  
Surface Analysis ◽  
Concentration Index ◽  
Inhibitory Concentration ◽  
Response Surface Analysis ◽  
Fractional Inhibitory Concentration ◽  
Candida Auris ◽  
Fractional Inhibitory Concentration Index ◽  
Agar Diffusion

AbstractThe in vitro interactions of isavuconazole with colistin were evaluated against 15 clinical Candida auris isolates by a microdilution checkerboard technique based on the EUCAST reference method for antifungal susceptibility testing and by agar diffusion using isavuconazole gradient concentration strips with or without colistin incorporated RPMI agar. Interpretation of the checkerboard results was done by the fractional inhibitory concentration index and by response surface analysis based on the Bliss model. By checkerboard, combination was synergistic for 93% of the isolates when interpretation of the data was done by fractional inhibitory concentration index, and for 80% of the isolates by response surface analysis interpretation. By agar diffusion test, although all MICs in combination decreased compared to isavuconazole alone, only 13% of the isolates met the definition of synergy. Essential agreement of EUCAST and gradient concentration strip MICs at +/− 2 log2 dilutions was 93.3%. Antagonistic interactions were never observed for any technique or interpretation model used.

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