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This model further identifies a broad range of variables (e.g., historical/premorbid influences, disease and treatment-related factors) that have been found to influence patient-reported outcomes and need to be taken into consideration when designing future research in this area.
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Our models further identified two clusters where elephants might benefit from being managed as part of a conservation network, (1) northern Zambia and Malawi and (2) northern Mozambique.
Response surface models further identified the optimum dosage, contact time and temperature at 4.56 g modified coconut copra per 100 mL peat swamp runoff, 42.9 min and 56.8 °C/329°K, respectively attaining the maximum removal efficiency of 88.19 %.
Thus, DSS-induced barrier damage seems to be a valuable model to further identify bacterial factors involved in maintaining intestinal homeostasis and to test therapeutic interventions based upon anti-TLR strategies.
E. coli may serve as a biomarker for colitis severity and DSS-induced barrier damage seems to be a valuable model to further identify bacterial factors involved in maintaining intestinal homeostasis and to test therapeutic interventions based upon anti-TLR strategies.
The classical determinants, namely, age, body mass index and sex traits, were constantly used in all models to further identify RA-related and non-RA-related parameters which were associated with the dependent variables.
To validate the model further, the identified interactions will be used for designing mutagenesis studies to investigate their effect on binding activity.
Through generalized linear models and random forest models, we have further identified a set of clinical end-points that are strongly associated with MTB-L presence.
Conditional Fkbpl−/− KO models could help further identify any possible dosage-related effects that FKBPL might have.
Based on the GWR outputs, a generalized linear model was estimated to further identify how various factors affect sensitivity in different block areas.
In order to explore a compact model for clinical use, we further identified the most contributed genes of high prediction power.
Write better and faster with AI suggestions while staying true to your unique style.
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