Three multiple regression models were used to estimate 95% confidence intervals (CI) for each model. The number of teeth was used as the independent variable ... used depressive symptoms scores as the ...

Humans learn by breaking through and plateauing, persisting and resting, and, occasionally, experiencing the blissful flow state. Mastering a skill can take decades, but the learning process unfolds ...

Repeat the experiment at different temperatures. The independent variable is the temperature. The dependent variable is the time taken for the cross to disappear. A controlled variable is the ...

In RIT’s physics degree, you’ll gain an in-depth understanding of the basic principles governing the structure and behavior of matter, the generation and transfer of energy, and the interactions of ...

To improve accuracy in such multirate dynamic processes, a multirate autoregressive dynamic latent variable (Mr-ARDLV) model is proposed for dynamic soft sensing. The model is built using the ...

Artificial Intelligence Applications,Artificial Intelligence Technology,Artificial Intelligence Tools,Conceptual Development,Dependent And Independent Variables,Dependent Variable,Development ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study aimed to develop a chitosan (CHS)-coated eugenol (EUGE)-loaded nanoemulsion ...

The role and value of theory in improvement work in healthcare has been seriously underrecognised. We join others in proposing that more informed use of theory can strengthen improvement programmes ...

There were two emerging themes and several subthemes (in parentheses): (1) inequities in access to disease-modifying therapies (variable regulatory approvals ... is chosen in a shared-decision-making ...