Reasons for low uptake of referrals to ear and hearing services for children in Malawi

Effect of optical correction on subfoveal choroidal thickness in children with anisohypermetropic amblyopia

Multiple attribute decision making model and application to food safety risk evaluation

non negative real valued function of matrix

</disp formula>Where 0<=μ AU x + υ AU x<=1, μ AL<0
are<disp formula id="pone.0189835.e051">removedGRAPHIC ‖ G A ‖=38.83,</disp formula><disp formula id="pone.0189835.e052">removedGRAPHIC ‖ G A - ‖=1.11,</disp formula><disp formula id="pone.0189835.e053">removedGRAPHIC ‖ G B ‖=38.44,</disp formula><disp formula id="pone.0189835.e054">removedGRAPHIC ‖ G B - ‖=1.58,</disp formula><disp formula id="pone.0189835.e055">removedGRAPHIC ‖ G C ‖=37.41
d A=‖ G A ‖ ‖ G A - ‖=43.1,</disp formula><disp formula id="pone.0189835.e058

Engagement of vulnerable youths using internet platforms

Improving resolution of dynamic communities in human brain networks through targeted node removal

locally greedy modularity maximization algorithm
time independent binary influence matrix

by<disp formula id="pone.0187715.e007">removedGRAPHIC R i=1
by<disp formula id="pone.0187715.e008">removedGRAPHIC Ψ S=1

Time course of adiponectin and its relationship to psychological aspects in patients with anorexia nervosa during inpatient treatment

Evolution of language: An empirical study at eBay Big Data Lab

Vector similarity measures of hesitant fuzzy linguistic term sets and their applications

Y=(y 1, y 2,⋯,y n), we can obtain<disp formula id="pone.0189579.e005">removedGRAPHIC D (X, Y)=2
y i</disp formula>Definition 1. [16] Let x i ∈ X, i=1,2
N (1 L i ∑ l=1 L i delta l 1 x i 2 tau + 1) 2)</disp formula><disp formula id="pone.0189579.e017
H s 2 (E H s 1) + (E H s 2)=2 ∑ i=1 N (1 L i ∑ l=1 L i (| delta l 1 x i | 2 tau + 1 - | delta l 2 x i | 2 tau + 1) ∑ i=1 N (1 L i ∑ l=1 L i delta l 1 x i 2 tau + 1) 2) + ∑ i=1 N (1 L i ∑ l=1 L i delta l 2 x i 2 tau + 1) 2
inequality a^2 + b^2<2 ab, we have removedGRAPHIC ∑ i=1 N (1 L i ∑ l=1 L i delta l 1 x i 2 tau + 1) 2) + ∑ i=1 N (1 L i ∑ l=1 L i delta l 2 x i 2 tau + 1) 2)<2 ∑ i=1 N (1 L i ∑ l=1 L i (| delta l 1 x i | 2 tau + 1 - | delta l 2 x i | 2 tau + 1
H s 2=∑ i=1 N (1 L i ∑ l=1 L i (| delta l 1 x i | 2 tau + 1 - | delta l 2 x i | 2 tau + 1) ∑ i=1 N (1 L i ∑ l=1 L i delta l 1 x i 2 tau + 1) 2) + ∑ i=1 N (1 L i ∑ l=1 L i delta l 2 x i 2 tau + 1) 2) - ∑ i=1 N (1 L i ∑ l=1 L i (| delta l 1 x i | 2 tau + 1 - | delta l 2 x i | 2 tau + 1
inequality a^2 + b^2<2 ab, we have removedGRAPHIC ∑ i=1 N (1 L i ∑ l=1 L i delta l 1 x i 2 tau + 1) 2) + ∑ i=1 N (1 L i ∑ l=1 L i delta l 2 x i 2 tau + 1) 2) - ∑ i=1 N (1 L i ∑ l=1 L i (| delta l 1 x i | 2 tau + 1 - | delta l 2 x i | 2 tau + 1)<∑ i=1 N (1 L i ∑ l=1 L i (| delta l 1 x i | 2 tau + 1 - | delta l 2 x i | 2 tau + 1
l=1 L i (| delta l 1 x i | 2 tau + 1 - | delta l 2 x i | 2 tau + 1) ∑ i=1
l=1 L i (| delta l 1 x i | 2 tau + 1 - | delta l 2 x i | 2 tau + 1)</disp formula>It is obvious that, if removedGRAPHIC w=(1 n, 1 n, ⋯, 1 n), then Eqs (8
l=1 L ζ i (| delta l 1 (x ζ i | 2 tau + 1 - | delta l 2 (x ζ i | 2 tau + 1)</disp formula>Where ζ (1), ζ (2)..., ζ N satisfy<disp formula id="pone.0189579.e070">removedGRAPHIC 1 L ζ i ∑ l=1 L ζ i (| delta l 1 (x ζ i | 2 tau + 1 - | delta l 2 (x ζ i | 2 tau + 1)<1 L ζ (i + 1) ∑ l=1 L ζ (i + 1) (| delta l 1 (x ζ (i + 1) | 2 tau + 1 - | delta l 2 (x ζ (i + 1) | 2 tau + 1
l=1 L ζ i (| delta l 1 (x ζ i | 2 tau + 1 - | delta l 2 (x ζ i | 2 tau + 1) ∑ i=1
l=1 L ζ i delta l 1 (x ζ i 2 tau + 1) 2) + ∑ i=1
l=1 L ζ i delta l 2 (x ζ i 2 tau + 1) 2)</disp formula><disp formula id="pone.0189579.e074
l=1 L ζ i delta l 2 (x ζ i 2 tau + 1) 2) - ∑ i=1
j=1, 2..., m</disp formula><disp formula id="pone.0189579.e088
coefficient<disp formula id="pone.0189579.e094">removedGRAPHIC R i=D i - D i - + D i +</disp formula>Where removedGRAPHIC D i +=∑ j=1