The use of local epidemiological data and individual patient risk factors leads to frequent empirical prescription of broad-spectrum antimicrobial therapy, including carbapenems [11 13], leading to the emergence of MDR pathogens [14], especially carbapenemase-producing Enterobacteriaceae [15].
The interaction of all factors leads to various water types.
The intersection of these factors leads to performances that can be characterized as multidimensional.
The interaction of all factors leads to various water facies (Murray 1996; Rosen and Jones 1998).
The coupling between these factors leads to considerable challenges in modeling and predicting sand production.
The competition of these two competing factors leads to the formation of the labyrinthine pattern.
The combination of above factors leads to a decrease-increase-decrease variation in mechanical properties.
A combination of factors leads to burnout in nurses working in nursing homes, contributing to poor quality care.
Applying the method further to derive packet-loss robustness factors leads in many cases to meaningful predictions, but not for all models.
The sum of all these factors leads to gradual increase in moduli and to a shift of the crossover frequency to lower values.
Angiogenesis is naturally balanced by many pro- and anti-angiogenic factors while an imbalance of these factors leads to aberrant angiogenesis, which is closely associated with many diseases.
