Sentence examples for multiple parameters influencing from inspiring English sources

However, the small number of patients in this study along with the multiple parameters influencing tumour targeting in RIT in CD20+ lymphoma do not allow drawing definitive conclusions concerning the optimal treatment approach in RIT to be drawn, and this should be the basis of further studies.

Multiple parameters influenced the formation of bridging neurites, with the highest numbers of bridges observed under the following experimental conditions: cell density of 125,000 cells per sample, groove depth of 50 μm, groove width of 30 μm, and plateau width of 200 μm.

Moreover, alternative parameter combinations can sometimes yield a comparable match to the data, especially if multiple parameters influence the same variables (inverse problem degeneracy).

Numerical tools are needed to guide the design of new devices before their manufacturing and testing, since multiple geometrical parameters influence the cathode performance.

As can be seen in Figures S1 and S2, the variation of the multiple imputations parameters influenced the ability to predict the masked data.

The development of a suitable dHS-SPME method to establish a urinary volatile metabolomic profile from cancer patients and healthy volunteers involved the selection and optimisation of multiple parameters that influenced extraction.

A multiple regression analysis indicated pressure and time as major parameters influencing the extraction yield.

Multiple linear regression analysis was performed to identify baseline parameters influencing response to treatment.

Physical parameters influencing laminar and turbulent aerodynamic flows and transition.

Due to the multiple parameters that influence tissue development a modular system is presented here that adjusts culture conditions to individual needs of developing tissues[16].

Here are studied multiple parameters that can influence this performance: (1 the number of images used during the training of the classifier: how to determine a sufficient number of images for an efficient and reliable classification (meaning that final results have acceptable variance)?