Sentence examples for an array of positive from inspiring English sources

In a net-positive world, positive-minded managers run positive-oriented companies with an array of positive outcomes.

Over the past few years, good bacteria has been championed by experts for rebalancing gut health, which in turn has been proven to have an array of positive effects on everything from our immune system to our mood.

According to a 2009 study by researchers at the University of Northern Iowa: "High school athletic participation is associated with an array of positive outcomes, including high school GPA, college attendance, college completion, adult income and earnings, job quality, and beneficial health behaviors".

Given a string x="x[1..n] on an ordered alphabet Σ of size σ, the Lyndon array λ="λx[1..n] of x is an array of positive integers such that λ[i],1≤i≤n, is the length of the maximal Lyndon word over the ordering of Σ that begins at position i in x.

Suppose that there exists an array of positive numbers such that (1.7).

It means that is an array of positive real numbers satisfying (1.5) and as.

For Arsenal the regret did not come here, because they inflicted on Bayern a first defeat over 90 minutes since last October and there was an array of positives that will sustain them on the quest to return to this competition via a top-four Premier League finish.

Headspace, which employs a chief medical officer, Dr. David Cox, has a promotional pamphlet that relates an array of "Quantifiable Positive Outcomes of Mindfulness Training".

As controls, an array of known positive samples from A. fumigatus and known negative samples from C. albicans was included in every set of DNA extractions.

Schizophrenia is characterised by an array of symptoms: positive symptoms include hallucinations, delusional beliefs, disorganised speech and behaviour whereas negative symptoms include blunted emotion and lack of motivation (American Psychiatric Association, 2000).

"We argue that when examining an array of nominally positive findings, statistical stringency alone does not permit us to determine which findings are by chance and which are not, and therefore, setting too stringent cutoff for Type I error criterion for association decreases power to find real associations".