The hydrological and environmental indices within the watershed were divided into subwatersheds and considered as potential influencing factors.
Results of those studies however are often contradictory, with quantity and composition of meals during Ramadan being potential influencing factors.
To mitigate congestion in urban roads, urban planning1, traffic prediction7,8,9 and the study of complex networks10,11,12,13,14,15 have been widely investigated potential influencing factors.
In order to develop calcium DRIs for Chinese adolescents, it is necessary to explore the characteristics and potential influencing factors of calcium metabolic balance in Chinese adolescents.
Phthalates were reported to be associated with increased risk of LBW in newborns, but the mechanism and potential influencing factor was still unclear.
In this paper, the rheological properties of CA paste with cationic and anionic emulsion were studied, and the potential influencing factors were analyzed, i.e. pH value, emulsifier, and the adsorption behavior between asphalt droplets and solid particles.
The objective of this study was to systematically review the use of MRI for the evaluation of deployment characteristics of vaginal microbicides and to understand the relationship of gel spread with potential influencing factors.
In this paper, surface adsorption of several model proteins on two types of aluminum adjuvants (Alhydrogel® and Adjuphos®) are investigated to understand the underlying adsorption mechanisms, capacities, and potential influencing factors.
In addition, milker behaviour towards goats was observed, stockpeople's attitudes towards interacting with goats were assessed via questionnaire and information was recorded about other potential influencing factors such as management, herd and housing characteristics.
Accurate estimation of the temporal variation in soil detachment capacity (Dc, kg m−2 s−1) by overland flow and its potential influencing factors is critical to predict rill erosion.
Convergent validity was investigated by (1) inter-test associations using a principal components analysis (PCA) and (2) by analysing associations of tests with potential influencing factors by use of multiple linear regression.
