Sentence examples for gender characterization from inspiring English sources

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These models vary even within species in terms of the anatomical site used, the husbandry conditions, the genotype (breed or strain), gender, characterization and type of fixation device, and duration of the healing period.

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Today in public forums, Clinton often criticizes the press's "gender-based characterization" of women.

The Linguistic Society of America's "Guidelines for Nonsexist Usage," released in 1996, urge lexicographers to "avoid peopling your examples exclusively with one sex" and to "avoid gender-stereotyped characterizations" in their illustrative sentences.

The set of consecutive patients with " early" HCC included in the internal validation did not show any statistically significant difference from the whole series with respect to the baseline characterization (mean age, gender and so on).

In this proof-of-concept trial adverse events categorized as related or possibly related to vaccine occurred in only 3 individual patients; thus, characterization of AE by gender, age, or race is not considered illustrative.

Detecting human beings accurately in a visual surveillance system is crucial for diverse application areas including abnormal event detection, human gait characterization, congestion analysis, person identification, gender classification and fall detection for elderly people.

Indeed, it confirmed that many factors other than FEV1 add to the description of the population: risk factors, symptoms (chronic bronchitis, dyspnea), comorbidities, demographics (age, gender) and anthropometric characteristics (weight) are also important contributors to characterization.

For an intelligent video surveillance system, the detection of a human being is important for abnormal event detection, human gait characterization, people counting, person identification and tracking, pedestrian detection, gender classification, fall detection of elderly people, etc.

For the characterization of target population we also collected socio-demographic data (gender, age, educational level, family status and employment status) and some clinical data (clinical background, psychiatric and physical symptoms).

For each patient the following information was collected using a standardized protocol: demographic data (age, gender), duration of HIV infection, HIV infection risk factors, duration of cART and characterization of the infection.

For socioeconomic characterization of the participants, participants completed a questionnaire comprising questions on age, gender, level of education, organization tenure, number of the years within the organization and number of the years in the current position.

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