Sentence examples for considered to recognize from inspiring English sources
In this matter, it should be considered to recognize and exploit innovative opportunities among available opportunities in business.
In this study, the number of decomposition levels was chosen as 4 because theta band dynamics of EEG signals were considered to recognize different emotions based on audiovisual stimulus.
RF4 is considered to recognize and bind orf352-containing transcripts and promote the degradation of orf352-containing transcripts to avoid ORF352-mediated programmedprogrammed cell death and consequent male sterility (Luo et al. [2013]).
Since xylan (xylose) is abundant in the hemicellulose of rice straw (Yoswathana et al. 2010), C. cellulovorans is considered to recognize xylose and increase the production of XynA for effective degradation of rice straw.
Generally, the MOE is considered to recognize environmental chemicals, while the VNO recognizes pheromones, although recent studies have reported some exceptions [1], [2].
Thus, any article that asserted one practice to be superior to another, whether anecdotally or as demonstrated by some research, was not considered to recognize an ethical concern.
Recognized groups are considered to be recognized by MIT, which is important for national organizations and organizations that compete.
Patients were considered to have recognized diabetes if they had an ICD-9 diagnostic code for diabetes in the administrative database or a diagnosis mentioned in their medical record (on the basis of medical record review of a random sample of 30% of patients with abnormal test results and no ICD-9 code).
Animals were considered to have recognized an olfactory stimulus when they spent significantly less time investigating an odorant introduced into the cage for a second time.
When a patient was suspected or diagnosed to have IE within the first 24 hours of medical access by clinicians, he was considered to be recognized on admission.
In this regard, such concepts are considered to detect and recognize users' emotion (e.g. [5] and [6]).
