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I loved our visit to the Bikkapathy Mund, where I was able to ask and gain lots of information regarding gender practices.
Information regarding gender, age, year of injury, mechanism of injury, injury severity score (ISS), fracture side, state of skin/soft tissue injury [6], site of fracture along the tibial shaft and method of fixation were abstracted from the data base.
These cells likely convey information regarding gender identity and reproductive status of the emitter.
Additional information regarding gender, clenching habit and BMI was collected via a questionnaire.
Information regarding gender proportion of non-participating pupils was not available in Ireland and Germany.
Individual information regarding gender, age, educational level and socioeconomic status were also assessed.
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We also overview data regarding gender.
To date, no quantitative studies have experimentally explored weather-index insurance preferences through a gender lens, and little information exists regarding gender-specific preferences for (and constraints to) smallholder investment in agricultural weather-index insurance.
Part A was a questionnaire adapted from previously used questionnaires and included questions relating to demographic information regarding age, gender, year of study, hand dominance and details of computer use.
Information regarding the gender of the insured persons could be obtained directly from the data set.
What the participants did list, however, revealed important information regarding the gender dynamics of household natural hazard preparedness.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com