Anthropometric data—comprising systematic measurements of human body dimensions—plays a pivotal role in the formulation of ergonomic design. This field of research underpins the development of ...

Bloomberg's ESG datasets give firms the information they need to make smarter decisions, anticipate risk with more confidence and reduce tedious work.

The UK General Data Protection Regulation governs your personal data rights, including the way companies handle your data and the compensation you can claim for misuse of your data.

"Based on our in-depth insights into the needs of Chinese consumers, Essilor Stellest glasses were developed based on anthropometric data of Chinese children aged 3-12 and tailored to three age ...

We also excluded individuals with missing spirometry and anthropometry data, resulting in 2,153 individuals who were eligible for analysis.

healthimpute: Imputation Tools for Clinical and Anthropometric Data The healthimpute R package offers two main imputation tools for longitudinal clinical datasets, particularly useful in natural ...

According to the conceptualization habit of human cognition and perceiving characteristics of the human eyesight, a novel high-dimensional data visualization method, which combined uncertain concepts ...

We present the results of two controlled experiments to compare ER and UML class diagrams, in order to find out which of the models provides better support during the comprehension of data models. The ...

Add a description, image, and links to the anthropometric-data topic page so that developers can more easily learn about it ...

Objective To assess the use of mid-upper arm circumference (MUAC) for identification of overweight and overfatness in rural South African children and adolescents. Methods Anthropometric data (weight, ...