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In the MIL algorithm proposed by Babenko et al. [14], it needs to maximize Eq. 13, and this would compute additional M probabilities belonging positive or negative set for each sample, so the computing complexity is very high.
According to the website, the program touches on different areas of growth including belonging, positive identity development, cognitive restructuring, coping and community engagement.
The authors identified that the sense of belonging, positive self-identity, emotional well-being and the auto-determination could allow or restrict the building of the individual empowerment.
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These dimensions are summarized in terms of physical and psychological safety, appropriate structure, supportive relationships, opportunities to belong, positive social norms, support for efficacy and mattering, opportunities for skill building, and the integration of family, school, and community efforts.
These connections supported students to develop a sense of belonging and positive science identities.
Specifically, we utilize subregion pairs to train the part-based feature learning model and predict whether they belong to positive subregion pairs.
The highest predictive weight belongs to positive expectancies associated to the effects of alcohol, followed by alcohol use among friends, low risk perception, and self-control of alcohol drinking as a protective factor.
[20, 21] introduced Universum binary support vector machines to enable the use of samples that do not belong to positive and negative classes and called these samples Universum samples.
The precision for a class is the number of true positives (i.e., the number of system-generated questions correctly labeled as belonging to the positive class) divided by the total number of elements labeled as belonging to the positive class, while the recall for a class is the number of true positives divided by the total number of elements that actually belong to the positive class.
TB positive belonged to the TST positive group, and the percentage concordance between T-SPOT.
TB positive belonged to the TST positive group (> 15 mm), and the percentage concordance between T-SPOT.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com