Sentence examples for subjectively identified from inspiring English sources

This narrative interview analysis subjectively identified focal points as discussed in the next section.

In those trials, mattresses were subjectively identified as soft, medium firm, firm, or custom inflated.

Results of this systematic review show that a mattress that is subjectively identified as a medium-firm mattress and is custom inflated (self-adjusted) is optimal for promoting sleep comfort, quality, and spinal alignment.

This allows thresholds to be reverse engineered: by getting experts to identify sites as desirable and undesirable, field variables can subsequently be measured to derive the boundary between subjectively identified desirable and undesirable states.

However, it is important to note that less than 50% of lymphedema cases that were objectively identified were also subjectively identified.

The CSAs observed in their study are consistent with those observed at the ostia 8 and those observed in subjectively identified frames (present data).

The authors conducted focus group discussions (FGD) in February 2014 in order to subjectively identify the major driving forces of LULC changes and their environmental implications of the study area.

At any unit of time, the conscious subjectively identifies states of pleasure (first phase of homeostasis maintenance) or displeasure (second phase of homeostasis) which are associated with the alarm subsystem of the 'organismic defense system' (ODS).

Because only 15.5 22.6%% of OSA patients can subjectively identify symptoms that lead them to seek medical assistance, misperception of sleep quality may play a crucial role in undiagnosed OSA [ 1].

After the LR model has been built using a forward stepwise selection procedure for the choice of a subset of predictor variables x i (i = 1, 2,..., d), each continuous predictor is categorized using a locally weighted scatterplot procedure to subjectively identify cut-off points on the basis of training data.

In a sense, our goal in the current study can be described as an application of data exploration techniques to objectively and subjectively identify the genes most likely to yield positive results in our biological assays of binding and transcriptional activation.