We followed the methods described in Moya-Laraño et al. [ 38] to experimentally induce bridging in the laboratory, with minor modifications to adapt the system to our larger range of spider sizes.
In our study, a large range of primer combinations adapted for each species was used to obtain profiles containing at least 5 to 260 peaks per species, allowing for discrimination between the effects of genome size and the number of peaks.
We measure the run time and check the accuracy of our implementation for a large range of circuit types and circuit sizes.
We finally show that our indicators capture a large range of behavioral traits using factor analysis and that the framework can be used to predict other indicators of vulnerability such as age or socio-economic status.
The MPAs in our analysis covered a large range of ages, sizes and degrees of enforcement (Text S1; Fig. S1).
Detailed information on the children and their families has been collected from a variety of sources, including self-completed questionnaires, data extraction from medical and educational records, in-depth interviews, and clinical assessments and so our data contain a large range of child health and development, family background, family inputs and school measures.
Our sensitivity analysis included a large range of STS and MST values, and our results should be generalisable to other countries with similar breast cancer incidence rates as the UK.
Since our samples cover a relative large range of areas and have relatively symmetrical distribution, we believe that our samples have national representativeness.
However, by changing the temperature, our sensor can measure a large range of forces without replacing the sensor.
Additionally, in our analysis, we observed a large range of improvements in the 1RM of well-trained players after short-term intervention periods (e.g., pre-season, Figure. 1, from 11%to52%2% during the squat exercise) with average increments of approximately 21% [1-3,6,22,37,38].
