Sentence examples for data a difficulty from inspiring English sources

When analysing the haemodynamic data, a difficulty can arise in interpreting the pulmonary capillary wedge pressure increase; whether this change is due to an increase in left ventricular preload that follows the increase in venous return, or to a decrease in left ventricular compliance as a result of the leftward shift of the interventricular septum for right ventricular dilatation [ 16, 22].

These data highlight a difficulty of the physician to face with the patient dilemmas related to end of life.

Compared to control boys, adolescent boys with ADHD were more sensitive in the recognition of disgust, and a dysfunction was present in the recognition of fear and data indicated a difficulty in the recognition of sadness.

EM allows us to fit the model in the presence of censored data, a methodological difficulty common to experiments involving speedup learning.

In event detection, data collection presents a difficulty.

These things can't be rushed, after all, and with medical data there are ethical considerations and a difficulty in procuring enough data.

However, this may be due to some level of under-enumeration, which often arises as a difficulty in data collection in many parts of rural Africa.

For Illumina data, a number of technical difficulties on the sequencing-level have been proposed to increase the false SNP call rate, including under-representation of GC-rich regions during the PCR-amplification step [ 45] and strand bias (differing genotype on the forward and the reverse strand) during read mapping [ 46].

While we classified these as established difficulties, we found only one study that exposed difficulties science nonmajors' have graphically representing categorical variable data (Table 1, difficulty IIA).

In particular, the sizes of these data warehouses are forever growing and becoming overloaded with data, a scenario that leads to difficulties in data maintenance and data analysis.

In fact many were uncomfortable with the concept of storing data in commercial clouds due to the possibility of loss of service or data, the difficulty of interpreting agreements with providers at an individual level and data protection issues.