Background Intraocular pressure (IOP) exhibits significant fluctuations in response to changes in body posture. Postural modification may serve as a potential adjunctive strategy for IOP management in ...
This study is the first to provide evidence towards successful implementation and effectiveness of a Birthing on Country service and the wrap around care in a rural setting and supports the urgent ...
The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...
Abstract: This study addresses the problem of convolutional kernel learning in univariate, multivariate, and multidimensional time series data, which is crucial for interpreting temporal patterns in ...
Explore the Lagrangian formulation of a uniform chain sliding off a table. This video breaks down generalized coordinates, kinetic and potential energy, and equations of motion for a clear and ...
Abstract: Multivariate statistical analysis is the use of mathematical models and statistical theory to study multivariate problems. Based on Bloom's cognitive theory, according to the learner's ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results