Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans

leaving 27 total participants M age=67.56, SD age=5.81

Health and health risk behaviour of adolescents-Differences according to family structure. Results of the German KiGGS cohort study

Reward abundance interferes with error-based learning in a visuomotor adaptation task

these 3Dchanges Wilcoxon signed rank, z=-2.428, p=0.015

Domestic cattle (Bos taurus taurus) are motivated to obtain forage and demonstrate contrafreeloading

Peripheral neuropathy in patients with multiple sclerosis

A descriptive analysis of depression and pain complaints among patients with cancer in a low income country

Asymmetric affective forecasting errors and their correlation with subjective well-being

plausibility of fixed vs random effect model

Factors associated with the use of complementary and alternative medicines for prostate cancer by long-term survivors

university of california los angeles prostate cancer index

Functional near-infrared spectroscopy during optic flow with and without fixation

non invasive functional neuroimaging method

Some linguistic neutrosophic Hamy mean operators and their application to multi-attribute group decision making

pone.0193027.e023">removedGRAPHIC phi e=2 t + alpha - b - gamma 3 t ;</disp formula><disp formula id="pone.0193027.e024
According Eqs (7)-(10), we have<disp formula id="pone.0193027.e034">removedGRAPHIC ∏ j=1
i=1,2,⋯, n, then<disp formula id="pone.0193027.e045
Since 0<=alpha i<=p i, b i<q i<0, gamma i<r i<0, t<0
t k) 1 k 1 n k,</disp formula><disp formula id="pone.0193027.e054">removedGRAPHIC - t(∏ 1<=i 1<⋯<i k<=n (1 - (∏ j=1 k (1
can get LNHM^k (e 1, e 2 ..., e n)<=LNHM^k (f 1, f 2 ..., f n); - if phi e=phi f, then<disp formula id="pone.0193027.e056">removedGRAPHIC 2 t + t - t(∏ 1<=i 1<⋯<i k<=n (1 - (∏ j=1
</disp formula><disp formula id="pone.0193027.e076">removedGRAPHIC ∏ j=1
i j) 1 k</disp formula><disp formula id="pone.0193027.e078">removedGRAPHIC then ∑ 1<=i 1<⋯<i k<=n (∏ j=1
i j) 1 k,</disp formula><disp formula id="pone.0193027.e079">removedGRAPHIC 1 n k ∑ 1<=i 1<⋯<i k<=n (∏ j=1
E A=0 iff A ∈ 2^X ; - E A=1 iff μ A x=0.5
get<disp formula id="pone.0193027.e123">removedGRAPHIC E L (R 1)=0.1759