Sentence examples for belonging improving from inspiring English sources

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More recently, they are considered as valuable contributors in increasing the property values, creating a place attractiveness, offering job opportunities, giving sense of social belonging, improving the public health, creating sustainable urban environment and improving the overall quality of life.

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Research shows that changing black students' stories about their sense of belonging improves their academic performance and health throughout college.

For those children with special educational needs, behaviour issues or unsettled home lives, particular benefits include a sense of belonging, improved ability to concentrate and focus on a task, a sense of responsibility and positive behaviour change.

Paired-sample t-tests showed that social cohesion remained fairly constant over time (24.63 at T0 vs. 24.42 at T1; p = .29; n = 561), while respondents' sense of social belonging improved significantly (26.32 at T0 vs. 26.73 at T1; p ≤ .05; n = 558).

Social cohesion remained constant over time, whereas social belonging improved (p ≤ 0.05).

The results of these studies show a positive association between increasing sense of belonging and improving academic achievements in the Afro-American population.

Research shows spending time with your friends helps relieve stress, make you feel a sense of belong and improve well-being.

Evolutionary algorithms (EA), a group of algorithms to which GP belongs, can improve upon human generated policies, and sometimes in unexpected ways [34].

The development of habitat suitability index models have already been used to predict the expansion of invasive amphibians (Lobos et al. 2013) and may also help to reduce the cost of localizing individuals belonging to invasive species, improving eradication programmes (Hester and Cacho 2012).

The strengthening of relationships among neighbors and creation of a sense of belonging are needed to improve well-being, especially among older adults.

This context-sensitive behavior improves the quantitative estimation of the potential correspondence between nodes belonging to different networks, ultimately, improving the overall accuracy of the multiple network alignment as we will demonstrate through extensive performance evaluation based on real and synthetic biological networks.

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